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Scite

REMOTE · API.SCITE.AI · SCANNED OCT 4

Ground answers in scientific literature. Search full text, evaluate trust, access full-text articles

Available components

0 this week 36 Trust /100

Recent critical change

Authorization (23 Aug 2026). See the changelog before you install this server.

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security89
Transport & Reachability0
Schema Quality & AI Usability0
  • Schema blocked by authentication: the endpoint requires auth we don't have to read it. See how to fix → Unverified
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
  • Tool coverage blocked by authentication: the endpoint requires auth we don't have to read its tools.Unverified
Tool Safety0
  • Tool safety blocked by authentication: the endpoint requires auth we don't have to read its tools.Unverified
Capabilities0
  • Capabilities blocked by authentication: the endpoint requires auth we don't have to read them. See how to fix → Unverified

Unverified: 6 categories

Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm. Claim this server and supply a read-only token to verify it and lift the score.

Install

How do I install the Scite MCP server?

Scite is a hosted endpoint at https://api.scite.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · api.scite.ai

# add to Claude Code
claude mcp add --transport http ai-scite-mcp 'https://api.scite.ai/mcp'
// .cursor/mcp.json
{
  "mcpServers": {
    "ai-scite-mcp": {
      "url": "https://api.scite.ai/mcp"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ai-scite-mcp": {
      "type": "http",
      "url": "https://api.scite.ai/mcp"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.ai-scite-mcp]
url = "https://api.scite.ai/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-scite-mcp": {
      "type": "remote",
      "url": "https://api.scite.ai/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ai-scite-mcp --url 'https://api.scite.ai/mcp' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  ai-scite-mcp:
    url: "https://api.scite.ai/mcp"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ai-scite-mcp": {
      "Transport": "http",
      "Url": "https://api.scite.ai/mcp"
    }
  }
}
# add to Vellum
assistant mcp add ai-scite-mcp -t streamable-http -u 'https://api.scite.ai/mcp'
// mcp.json
{
  "mcpServers": {
    "ai-scite-mcp": {
      "type": "http",
      "url": "https://api.scite.ai/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 9 Sept 26 +3
    • Endpoint reachability: not serving MCP → behind authorisation ▼ security
    • Transport: pass → unverified ▼ security
    • Authorization: unverified → pass ▲ security
    • First check of Authorization: partial security
    • Tool safety: Tool safety blocked by authentication: the endpoint requires auth we don't have to read its tools. security
    • Tool coverage: Tool coverage blocked by authentication: the endpoint requires auth we don't have to read its tools. functional
    • Schema quality: Schema blocked by authentication: the endpoint requires auth we don't have to read it. functional
    • Capabilities: Capabilities blocked by authentication: the endpoint requires auth we don't have to read them. functional
  • 26 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 24 Aug 26 0
    • Endpoint reachability: reachable → not serving MCP ▼ security
    • Stability: fail → unverified ▼ security
    • Authorization: fail → unverified ▼ security
    • Schema quality: 100 → unverified ▼ functional
    • Capabilities: pass → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
  • 23 Aug 26 0
    • Authorization: unverified → fail ▼ critical
    • Stability: unverified → fail ▼ security
    • Endpoint reachability: not serving MCP → reachable ▲ functional
    • Tool coverage: unverified → 100 ▲ functional
    • Schema quality: unverified → 100 ▲ functional
    • MCP protocol: unverified → pass ▲ functional
    • Schema quality: good → excellent functional
  • 11 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 7 Aug 26 0
    • Endpoint reachability: reachable → not serving MCP ▼ security
    • Stability: fail → unverified ▼ security
    • Authorization: fail → unverified ▼ security
    • Schema quality: 100 → unverified ▼ functional
    • Capabilities: pass → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Oct 2026 · Probed https://api.scite.ai/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=*.scite.ai CN=Amazon RSA 2048 M04,O=Amazon,C=US 1 Oct 2026 16 Apr 2027 RSA 2048 SHA256-RSA b8de20ed28ed5055e7ee19414ec580c
SANs: *.scite.ai, scite.ai
CN=Amazon RSA 2048 M04,O=Amazon,C=US (CA) CN=Amazon Root CA 1,O=Amazon,C=US 23 Aug 2022 23 Aug 2030 RSA 2048 SHA256-RSA 773124f2a952e3ed18a58bdb85d1bc0ce5f27
CN=Amazon Root CA 1,O=Amazon,C=US (CA) CN=Starfield Services Root Certificate Authority - G2,O=Starfield Technologies\, Inc.,L=Scottsdale,ST=Arizona,C=US 25 May 2015 31 Dec 2037 RSA 2048 SHA256-RSA 67f944a2a27cdf3fac2ae2b01f908eeb9c4c6

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of api.scite.ai. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
ai. present 3799 8 Verified
scite.ai. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Enforced and verified

The endpoint asked for a token and published valid RFC 9728 metadata describing how to get one.

Result Enforced and verified
Enforced On connection
HTTP status 401

WWW-Authenticate challenge Bearer resource_metadata="https://api.scite.ai/.well-known/oauth-protected-resource"

Bearer resource_metadata="https://api.scite.ai/.well-known/oauth-protected-resource"
Header Value
www-authenticate Bearer resource_metadata="https://api.scite.ai/.well-known/oauth-protected-resource"

Protected resource metadata

Document https://api.scite.ai/.well-known/oauth-protected-resource
Retrieved Yes
Resource https://api.scite.ai/mcp
Authorisation server https://api.scite.ai

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://api.scite.ai/mcp Auth required 401
http (plaintext) http://api.scite.ai/mcp HTTPS enforced 301 https://api.scite.ai/mcp
MCP tools · 25 exposed · ~9,655 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
add_dois_to_collection ~199

Add DOIs to a Collection. Works on both DOI-list and saved-search Collections. Requires EDITOR or ADMIN access. For a DOI-list Collection the DOIs are added to the list. For a saved-search Collection they are force-included (added to the manual include list) so they appear even if the search would not return them. DOIs already present are ignored. Use `create_collection` to make a new Collection or `remove_dois_from_collection` to take DOIs out. **Parameters:** - slug: The Collection slug (required). - dois: List of DOI strings to add (required, non-empty). **Returns:** The updated Collection with id, slug, name, and DOI counts.

NameTypeReqDescription
doisarrayyesList of DOIs to add, e.g. ['10.1038/s41586-020-2649-2']
slugstringyesThe Collection slug

No output schema declared.

No examples provided.

create_collection ~325

Create a new Collection owned by the signed-in user. Use this to start a Collection from a list of DOIs the user wants to group, track, and analyze together. The caller becomes the Collection ADMIN. The returned `slug` identifies the Collection for `get_collection`, `update_collection`, `add_dois_to_collection`, and the other Collection tools. **DOI validation.** Provided DOIs are validated and resolved against scite; unknown DOIs are dropped and surfaced via the `unmatchedDoiCount` in the response. An empty `dois` list creates an empty Collection the user can add to later. **Scope.** This tool creates DOI-list Collections. Collections backed by a saved search query are created in the scite web app, not via MCP. **Parameters:** - name: Collection name (required). - description: Optional free-text description. - dois: Optional list of DOI strings to seed the Collection. - is_public: If true, anyone with the slug can view the Collection (default: false). **Returns:** The created Collection with id, slug, name, description, isPublic, doiQueryType, accessType, and DOI counts.

NameTypeReqDescription
descriptionstring–Optional description
doisarray–Optional list of DOIs to seed the Collection, e.g. ['10.1038/s41586-020-2649-2']
is_publicboolean–If true, anyone with the slug can view (default: false)
namestringyesCollection name

No output schema declared.

No examples provided.

delete_collection ~82

Permanently delete a Collection. Requires ADMIN access on the Collection. This cannot be undone. The Collection and its DOI membership are removed. Only the Collection ADMIN may delete it. **Parameters:** - slug: The Collection slug (required). **Returns:** `{deleted: true, slug: "..."}` on success.

NameTypeReqDescription
slugstringyesThe Collection slug

No output schema declared.

No examples provided.

get_510k_summary ~171

Fetch the full text of a single FDA 510(k) summary PDF by document ID. Use this after `search_510k_summaries` or `search_device510k` when you need the complete narrative text of a 510(k) summary, not just search snippets or structured metadata. Returns the full extracted text organized by page. **Parameters:** - id: Document identifier (the K number, e.g. `K192757`). Can be obtained from either `search_510k_summaries` or `search_device510k` results. **Returns:** The full-text content of the 510(k) summary PDF, organized by page, with file metadata and ontology tags.

NameTypeReqDescription
idstringyesDocument identifier, e.g. K192757.

No output schema declared.

No examples provided.

get_clinical_trial ~219

Fetch full details for a single clinical trial by NCT id. Use this after `search_clinical_trials` when you need the complete record for a specific trial, including the full `description`, study `design`, `enrollment`, `outcomes` (primary/secondary), full `eligibility` inclusion/exclusion criteria, `reportedEvents` (adverse events when the trial has posted results), principal investigator (`pi`), `contacts`, `citations` (related publications), and `resultsUrl`. The search tool returns a slim summary to save tokens; call this tool for a specific NCT id when you need those verbose fields for deeper analysis or patient-trial matching. **Parameters:** - id: NCT identifier (e.g. `NCT02986230`). **Returns:** A compact detail record preserving all trial fields except the low-signal `ontology` classifications.

NameTypeReqDescription
idstringyesNCT identifier of the clinical trial, e.g. NCT02986230.

No output schema declared.

No examples provided.

get_collection ~127

Fetch a single Collection (a saved, named set of papers) by its slug. Use the `slug` returned by `create_collection` or `search_collections`. Returns the Collection's identity, sharing, access level, and DOI counts. The caller must have at least VIEWER access (own it, be shared on it, or it is public). **Parameters:** - slug: The Collection slug (required). **Returns:** The Collection with id, slug, name, description, isPublic, accessType, and DOI counts.

NameTypeReqDescription
slugstringyesThe Collection slug

No output schema declared.

No examples provided.

get_device510k ~211

Fetch full details for a single FDA 510(k) clearance by K number. Use this after `search_device510k` when you need the complete record for a specific clearance, including the full `summaryText` (the complete 510(k) summary statement, often very long), full `applicant` details (address, contact, country), `registration` info (FEI and registration numbers), and the complete `decision` object (code, description, committee, review flags). The search tool returns a brief highlighted snippet of the summary text; call this tool for a specific K number when you need the full text or detailed applicant/registration information. **Parameters:** - id: K number identifier (e.g. `K210674`). **Returns:** A compact detail record with full summary text, complete applicant information, registration details, and decision metadata.

NameTypeReqDescription
idstringyesK number identifier of the 510(k) clearance, e.g. K210674.

No output schema declared.

No examples provided.

get_drug ~245

Fetch full details for a single FDA drug record by ID. Use this after `search_drugs` when you need the complete record for a specific drug, including every approved product (product number, applicant, approval date, dosage form, route, active ingredients, TE code) and the full Structured Product Label text sections. The search tool returns a slim view; this tool adds detail-only fields. **Parameters:** - id: Drug record ID (the UUID from search_drugs results, e.g. `4dd865ec-8889-49ac-8c8f-4438875937ac`). **Returns:** A detailed drug record with the application's products and the main label sections (indications and usage, dosage and administration, contraindications, boxed warning, warnings and cautions, adverse reactions, drug interactions, use in specific populations, pharmacology, clinical studies, how supplied, overdosage, description).

NameTypeReqDescription
idstringyesDrug record ID (UUID from search_drugs results, e.g. '4dd865ec-8889-49ac-8c8f-4438875937ac')

No output schema declared.

No examples provided.

get_faers_report ~208

Fetch full details for a single FAERS adverse event report by ID. Use this after `search_faers` when you need the complete record for a specific report, including patient demographics, full drug dosage details, the reporting source, and any duplicate-report references. The search tool returns a slim view; this tool adds detail-only fields. **Parameters:** - id: FAERS safety report ID (e.g. `26185565`). Obtained from search_faers results. **Returns:** A detailed FAERS report with patient demographics (sex, age group, onset age, weight, death date), report dates (receiveDate, receiptDate, transmissionDate), expedited flag, primarySource (reporter qualification and country), reportDuplicates, and enriched drugs (dosage text, start/end dates, NDC, application number, pharmacologic class).

NameTypeReqDescription
idstringyesFAERS safety report ID (e.g. '26185565')

No output schema declared.

No examples provided.

get_grant ~291

Fetch full details for a single grant by id. Call this after `search_grants` only when you need something the search result does not already have. Specifically, this returns: - Full `abstract` (search returns only a ~300-char highlighted preview; the full text is typically 1-3 KB). - Source-specific identifiers that search does not include: `awardYear`, `agencyTrackingNumber`, `contract`, `nihProgramCode`, `nihrApplicationId`. All other fields (title, agency, organization, piName, country, dates, awardAmount, tags, externalLink, etc.) are already present in search results — don't call `get_grant` just to get those. Also use this to pull siblings listed in `siblingGrantIds` on a search result: call `get_grant` once per sibling id you need. **Parameters:** - id: Grant identifier returned by `search_grants` (e.g. `5201339`, `nsf.0646294`, `wellcome.214402.Z.18.Z`). **Returns:** A compact detail record with the full abstract and the source-specific identifiers listed above; drops the low-signal `categories` ontology.

NameTypeReqDescription
idstringyesGrant identifier returned by search_grants, e.g. 5201339 or nsf.0646294.

No output schema declared.

No examples provided.

get_maude_report ~194

Fetch full details for a single MAUDE adverse event report by ID. Use this after `search_maude` when you need the complete record for a specific report, including the full narrative text (MDR text with text type codes), reporter information, device availability, patient treatment, and tags. The search tool returns truncated text snippets; this tool returns the full narratives which can be much longer. **Parameters:** - id: MAUDE report ID (e.g. `17343805`). Obtained from search_maude results. **Returns:** A detailed MAUDE report with full narrative text entries (with text type codes like "Description of Event or Problem"), reporter occupation, health professional flag, device medical specialty and availability, patient treatment, product problem flag, and tags.

NameTypeReqDescription
idstringyesMAUDE report ID (e.g. '17343805')

No output schema declared.

No examples provided.

get_mhra_alert ~127

Fetch the full text of a single MHRA alert or publication by document ID. Use this after `search_mhra` when you need the complete text of an alert, including the full article body (contentHtml), not just search snippets. Returns the full extracted text organized by page. **Parameters:** - id: Document identifier from `search_mhra` results. **Returns:** The full-text content of the MHRA alert, including headline, description, article body, tags, and per-page content.

NameTypeReqDescription
idstringyesDocument identifier from search_mhra results.

No output schema declared.

No examples provided.

remove_dois_from_collection ~197

Remove DOIs from a Collection. Works on both DOI-list and saved-search Collections. Requires EDITOR or ADMIN access. For a DOI-list Collection the DOIs are dropped from the list. For a saved-search Collection they are excluded (added to the exclude list) so they no longer appear even if the search would return them. DOIs not present are ignored. This removes papers from the Collection; it does not delete the Collection itself (use `delete_collection` for that). **Parameters:** - slug: The Collection slug (required). - dois: List of DOI strings to remove (required, non-empty). **Returns:** The updated Collection with id, slug, name, and DOI counts.

NameTypeReqDescription
doisarrayyesList of DOIs to remove, e.g. ['10.1038/s41586-020-2649-2']
slugstringyesThe Collection slug

No output schema declared.

No examples provided.

search_510k_summaries ~321

Search the full text of FDA 510(k) summary PDF documents. This dataset contains OCR'd full-text content from FDA 510(k) premarket notification summary PDFs. Unlike `search_device510k` which returns structured clearance metadata (device class, applicant, decision codes), this tool searches the actual narrative text of 510(k) submissions and returns matching page-level snippets. Use this tool when the question involves the *content* of a 510(k) submission rather than its metadata. Common triggers: test results, performance data, biocompatibility, substantial equivalence comparisons, indications for use, predicate device comparisons, sterilization methods, software descriptions, bench testing, or clinical study summaries. When you already have a K number from `search_device510k`, use `get_510k_summary` to read the full document instead of searching again. **Parameters:** - q: Search query (technical terms, device descriptions, test methods, etc.) - f: Space-delimited filters in `field:"value"` format - p: Page number (default: 1) **Returns:** Documents with id, filename, tags, and page-level content snippets showing where the query matched within each 510(k) summary PDF.

NameTypeReqDescription
fstring–Space-delimited filters in `field:"value"` format.
pinteger–Page number (default: 1)
qstring–Search query (technical terms, device descriptions, test methods, etc.)

No output schema declared.

No examples provided.

search_clinical_trials ~380

Search clinical trials from the scite clinical trials database (ClinicalTrials.gov). Use this tool to find clinical trials related to diseases, interventions, sponsors, or research topics. Returns trials with titles, brief descriptions, sponsors, facilities, conditions, interventions, phase, and dates. Highlighted `<strong>...</strong>` snippets indicate which fields matched the query. **Parameters:** - q: Search query string (keywords, condition, intervention, sponsor, NCT id, etc.) - f: Space-delimited filters in `field:"value"` format (e.g. `conditions:"Cancer" trialState.phase:"Phase III"`) - p: Page number (default: 1) - s: Sort field (default: _relevance). Options: - _relevance: relevance score (sortDir ignored) - dates.startDate: trial start date - dates.completedDate: trial completed date - dates.lastUpdatedDate: last update date - sortDir: Sort direction, asc or desc (default: desc). Ignored when s is _relevance. **Returns:** Clinical trials with nctId, title, briefDescription, phase, sponsors, facilities, conditions, interventions, tags, startDate, completedDate, and publicationCount.

NameTypeReqDescription
fstring–Space-delimited filters in `field:"value"` format. Example: 'conditions:"Cancer" trialState.phase:"Phase III"'
pinteger–Page number (default: 1)
qstring–Search query (keywords, condition, intervention, sponsor, NCT id, etc.)
sstring–Sort field (default: _relevance)
sortDirstring–Sort direction (default: desc). Ignored when s is _relevance.

No output schema declared.

No examples provided.

search_collections ~142

List the Collections the signed-in user can access, with an optional name filter. Returns Collections the user owns, is shared on, or that are shared with their organization. Pass `q` to filter by a case-insensitive substring of the Collection name. This is a filter over the caller's own Collections, not a full-text search of all Collections. **Parameters:** - q: Optional case-insensitive name substring to filter by. **Returns:** `{collections: [...], total: N}` where each Collection has id, slug, name, accessType, and DOI counts.

NameTypeReqDescription
qstring–Optional case-insensitive name substring filter

No output schema declared.

No examples provided.

search_device510k ~474

Search FDA 510(k) premarket notification clearances from the scite device database. Use this tool to find medical device clearances by device name, product code, applicant, clearance type, or K number. Returns clearances with device details, decision info, applicant information, and regulatory classifications. 510(k) is the FDA's premarket notification process -- manufacturers must demonstrate that their device is substantially equivalent to a legally marketed device before it can be sold. **Parameters:** - q: Search query string (device name, product code, applicant, K number, etc.) - f: Space-delimited filters in `field:"value"` format (e.g. `device.deviceClass:"2" decision.decisionCode:"SESE"`) - p: Page number (default: 1) - s: Sort field (default: _relevance). Options: - _relevance: relevance score (sortDir ignored) - device.device_class: device risk classification - device.date_received: date FDA received the submission - decision.decision_date: date of FDA decision - sortDir: Sort direction, asc or desc (default: desc). Ignored when s is _relevance. **Returns:** Device 510(k) clearances with kNumber, title, summaryText, device info (name, class, productCode, clearanceType, regulationNumber), decision info (code, description, date, committee), applicant details, and tags. **Note:** This tool returns structured clearance metadata only. For the actual narrative content of 510(k) summary documents (test results, substantial equivalence reasoning, indications for use, performance data), use `search_510k_summaries` instead.

NameTypeReqDescription
fstring–Space-delimited filters in `field:"value"` format. Example: 'device.deviceClass:"2" decision.decisionCode:"SESE"'
pinteger–Page number (default: 1)
qstring–Search query (device name, product code, applicant, K number, etc.)
sstring–Sort field (default: _relevance)
sortDirstring–Sort direction (default: desc). Ignored when s is _relevance.

No output schema declared.

No examples provided.

search_drugs ~530

Search FDA drug records: Structured Product Labels, the Orange Book, and Drugs@FDA. Each result bundles an FDA drug application (approved products, applicant, approval dates, marketing status) with its Structured Product Label (indications, warnings, pharmacology, etc.). Use this to find approved drugs by name, active substance, manufacturer, pharmacologic class, or indication. **Parameters:** - q: Search query (brand name, generic name, active substance, indication, etc.) - f: Space-delimited filters in `field:"value"` format. Facet fields: labels.brand_name, labels.generic_name, labels.substance_name, labels.manufacturer_name, labels.product_type, labels.route, labels.pharm_class_epc, labels.pharm_class_moa, labels.pharm_class_cs, labels.rxcui, labels.unii, labels.product_ndc, labels.package_ndc, application.application_number, application.sponsor_name, application.products.marketing_status, application.products.dosage_form, application.products.route, application.products.product_type, application.products.te_code, tags, categories. Date range: use labels.effective_time or application.products.approval_date with gte/lt suffix (e.g. labels.effective_timegte:"2024-01-01"). - p: Page number (default: 1) **Returns:** Drug records, each bundling an FDA application (approved products, applicant, approval dates, marketing status) with its Structured Product Label (indications, warnings, pharmacology). Sorted by relevance only.

NameTypeReqDescription
fstring–Space-delimited filters in `field:"value"` format. Facet fields: labels.brand_name, labels.generic_name, labels.substance_name, labels.manufacturer_name, labels.product_type, labels.route, labels.pha…
pinteger–Page number (default: 1)
qstring–Search query (brand name, generic name, active substance, indication, etc.)

No output schema declared.

No examples provided.

search_faers ~767

Search FDA FAERS (FDA Adverse Event Reporting System) drug adverse event reports. Use this tool to find adverse event and medication error reports submitted to the FDA for drugs and therapeutic biologics. Each report links one or more suspect/concomitant drugs to the patient reactions that were observed. Returns reports with the drugs involved, patient reactions (MedDRA preferred terms), seriousness, and report metadata. **Parameters:** - q: Search query string (drug brand or generic name, active substance, reaction term, etc.) - f: Space-delimited filters in `field:"value"` format - Facet filters: - `drug.medicinalproduct` -- reported drug name (e.g. "IBUPROFEN") - `drug.brand_name` / `drug.generic_name` / `drug.substance_name` -- product names - `drug.manufacturer_name` -- manufacturer/labeler - `drug.drugindication` -- reported reason for use (e.g. "Pain") - `drug.pharm_class_epc` / `drug.pharm_class_moa` -- pharmacologic class - `reaction.reactionmeddrapt` -- patient reaction MedDRA term (e.g. "Nausea") - `reaction.reactionoutcome` -- reaction outcome (e.g. "Recovered/Resolved", "Fatal") - `event.reporttype` -- report type (e.g. "Spontaneous") - `event.seriousness_type` -- seriousness category (e.g. "Death", "Hospitalization") - `event.occurcountry` -- country where the event occurred - `event.patientsex` -- patient sex - `primarysource.qualification` -- reporter type (e.g. "Physician", "Consumer") - Date range filters on `event.receivedate`, `event.receiptdate`, `drug.drugstartdate`, `drug.drugenddate`: - Suffix notation: append `gte` (>=) or `lt` (<) to the field name. Example for H1 2024: `event.receivedategte:"2024-01-01" event.receivedatelt:"2024-07-01"` - p: Page number (default: 1) **Returns:** FAERS reports with safetyReportId, title, reportType, serious flag, seriousnessType, receiveDate, occurCountry, reactions (reaction term + outcome), and drugs (medicinalProduct, brandName, genericNam…

NameTypeReqDescription
fstring–Space-delimited filters in `field:"value"` format. Facet fields: drug.medicinalproduct, drug.brand_name, drug.generic_name, drug.substance_name, drug.manufacturer_name, drug.drugindication, drug.phar…
pinteger–Page number (default: 1)
qstring–Search query (drug name, active substance, reaction term, etc.)

No output schema declared.

No examples provided.

search_grants ~604

Search research grants from the scite grants database (NIH RePORTER, NSF, SBIR/STTR, Wellcome, EU, and more). Use this tool to find grants by research topic, PI, organization, agency, or funding keywords. Returns grants with title, a short abstract preview, agency, organization, PI, country, dates, awardAmount, tags, and externalLink. Highlighted `<strong>...</strong>` fragments indicate which fields matched the query. **Grouping.** Resolute groups related grants under one shared slug (e.g. NIH subprojects of one center grant, or renewals of the same award). Each search result returns **only one representative grant** per group. `grantsInGroup` tells you how many total grants exist in the group; `siblingGrantIds` (when present) lists the other grant ids in the group. To pull the full record for a specific sibling, call `get_grant` with its id — do not re-search. **Abstract in search is a ~300-char highlighted preview, not the full text.** Call `get_grant` when you need the full abstract (often 1-3 KB) or source-specific identifiers (`awardYear`, `agencyTrackingNumber`, `contract`, `nihProgramCode`, `nihrApplicationId`). If the search result already contains the fields you need, do not call `get_grant`. **Parameters:** - q: Search query string (keywords, PI name, organization, agency, etc.) - f: Space-delimited filters in `field:"value"` format (e.g. `agency:"NIH" country:"United States"`) - p: Page number (default: 1) - s: Sort field (default: _relevance). Options: - _relevance: relevance score (sortDir ignored) - awardStartDate: grant start date - awardCloseDate: grant close date - awardNoticeDate: grant notice date - awardAmount: total award amount - employeeCount: PI employee count - sortDir: Sort direction, asc or desc (default: desc). Ignored when s is _relevance. **Returns:** Grants with id, title, abstract snippet, agency, organization, piName, country, award dates, awardAmount, tags, groupSlug, and grantsInGroup.

NameTypeReqDescription
fstring–Space-delimited filters in `field:"value"` format. Example: 'agency:"NIH" country:"United States"'
pinteger–Page number (default: 1)
qstring–Search query (keywords, PI name, organization, agency, etc.)
sstring–Sort field (default: _relevance)
sortDirstring–Sort direction (default: desc). Ignored when s is _relevance.

No output schema declared.

No examples provided.

search_literature ~1,919

Search scientific literature and read full-text content from peer-reviewed papers. Use `dois` (preferred) or `titles` with targeted `term` queries to extract full-text passages from specific papers. Each call returns up to 5 relevant excerpts (~500 chars each) — vary search terms across calls to read through a paper section by section. **IMPORTANT — keep `limit` small.** Use `limit: 10-50` with `offset` for pagination. Large limits with full citations and excerpts produce very large payloads that consume significant LLM context. **Calling with no parameters browses the corpus** (210M+ papers, relevance-sorted). This is allowed for broad exploration but rarely what you want — pass `term`, `dois`, `titles`, or other filters for targeted results. **What This Tool Returns:** - Paper metadata: title, authors (first 3), abstract, DOI, journal, year, volume, issue, page - `fulltextExcerpts`: up to 5 passages (~500 chars) from the paper matching your query (OA only) - `access`: resolved access link with source, type (open/institutional/purchase), content type, and pricing - `citations`: Smart Citation statements — actual quoted text from citing papers, classified as supporting/contrasting/mentioning/unclassified (unclassified = statement present but classifier hasn't assigned a type) - `tally`: citation metrics (total, supporting, contrasting, mentioning, citing publications) - `editorialNotices`: editorial notices (retraction, correction, concern, erratum), each with status, noticeDoi, date - `isOa`, `oaStatus`, `license`: open access information **Fetching Paper Metadata (no search term needed):** Pass `dois` or `titles` WITHOUT a `term` to retrieve metadata for specific papers. Example: `dois: ["10.1038/s41586-020-2012-7"]` **Full-Text Excerpts:** For OA papers, `fulltextExcerpts` contains passages matching your query. If empty, the full text is not indexed or terms didn't match — use the `access` field for the best link to the PDF or full text. **Smart Citati…

NameTypeReqDescription
abstractstring–Filter by text in publication abstract. Example: 'neural networks'
affiliationstring–Filter by author institutional affiliation. Example: 'Stanford University' or 'MIT'
authorstring–Filter by author name. Partial names work. Example: 'Einstein' or 'Albert Einstein'
citing_publications_frominteger–Minimum number of total citing publications (traditional citation count)
citing_publications_tointeger–Maximum number of total citing publications (traditional citation count)
collection_slugstring–Restrict the search to the papers in one of the user's Collections (a saved, named set of papers). Pass the Collection slug from `create_collection` or `search_collections`. Combine with `term` and o…
contrasting_frominteger–Minimum number of contrasting Smart Citations. Example: 5 = papers with at least 5 contrasting citations
contrasting_tointeger–Maximum number of contrasting Smart Citations. Example: 20 = papers with up to 20 contrasting citations
date_fromstring–Filter papers published from this date onwards. Format: YYYY-MM-DD or YYYY. Example: '2015-01-01' or '2015'
date_tostring–Filter papers published up to this date. Format: YYYY-MM-DD or YYYY. Example: '2023-12-31' or '2023'
doisarray–Filter results to specific DOIs. Use WITHOUT `term` to fetch paper metadata (title, abstract, citations, access URL). Use WITH `term` to search within those papers for full-text excerpts. Prefer DOIs…
has_concernboolean–Filter papers with editorial concerns. true = papers with concerns
has_correctionboolean–Filter papers with corrections. true = papers with published corrections
has_erratumboolean–Filter papers with errata. true = papers with published errata
has_retractionboolean–Filter papers with retraction notices. true = retracted papers only
has_tallyboolean–Filter papers with Smart Citations (tally > 0). true = papers that have been cited with context
journalstring–Filter by journal name. Example: 'Nature' or 'Science'
limitinteger–Maximum number of results to return. Default: 10, Maximum: 1000. For better performance, use smaller limits (10-50) and pagination.
mentioning_frominteger–Minimum number of mentioning Smart Citations. Example: 50 = papers with at least 50 mentioning citations
mentioning_tointeger–Maximum number of mentioning Smart Citations
offsetinteger–Pagination offset for result sets. Use with limit for pagination. Example: offset=20, limit=10 returns results 21-30.
paper_typestring–Filter by publication type. Examples: 'Article', 'Review', 'Clinical Trial', 'Meta-Analysis', 'Case Report'
publisherstring–Filter by publisher name. Example: 'Elsevier' or 'Springer'
supporting_frominteger–Minimum number of supporting Smart Citations. Example: 10 = papers with at least 10 supporting citations
supporting_tointeger–Maximum number of supporting Smart Citations. Example: 100 = papers with up to 100 supporting citations
termstring–Cross-field search query. Optional when `dois` or `titles` is provided (omit to fetch metadata only). IMPORTANT: Use domain-specific technical terms, not broad phrases — the index covers all academic…
titlestring–Filter by text in publication title. Example: 'climate change'
titlesarray–Filter results to papers matching these titles. Use WITHOUT `term` to fetch paper metadata, or WITH `term` to search within those papers. Use when DOIs are not available — prefer `dois` when possible…
topicstring–Filter by research topic/subject area. Example: 'Oncology' or 'Neuroscience'
yearinteger–Filter by specific publication year. Example: 2020. Cannot be combined with date_from/date_to.

No output schema declared.

No examples provided.

search_maude ~721

Search FDA MAUDE (Manufacturer and User Facility Device Experience) adverse event reports. Use this tool to find medical device adverse event reports, including device malfunctions, patient injuries, and deaths reported to the FDA. Returns reports with device information, event descriptions, patient problems, and narrative text snippets. **Parameters:** - q: Search query string (device name, manufacturer, event description, product code, etc.) - f: Space-delimited filters in `field:"value"` format - Facet filters: - `event_type` -- Injury, Death, Malfunction, Other, No answer provided - `device.device_class` -- device risk class: 1, 2, or 3 - `device.manufacturer_d_name` -- manufacturer (e.g. "Medtronic") - `device.device_report_product_code` -- FDA product code (e.g. "DTB") - `device.regulation_number` -- regulation number (e.g. "870.3680") - `report_source_code` -- Voluntary report, Manufacturer report, etc. - `product_problems` -- reported device problems (e.g. "High Capture Threshold") - `patient.problems` -- patient problems (e.g. "Death", "Atrial Fibrillation") - Date range filters on `date_received` or `date_report`: - Suffix notation: append `gte` (>=) or `lt` (<) to the field name. Example for H1 2024: `date_receivedgte:"2024-01-01" date_receivedlt:"2024-07-01"` - Comma notation: `date_received:"2024-01-01,2024-07-01"` (gte,lt) - p: Page number (default: 1) - s: Sort field (default: _relevance). Options: - _relevance: relevance score (sortDir ignored) - date_received: date FDA received the report - date_report: date of the original report - sortDir: Sort direction, asc or desc (default: desc). Ignored when s is _relevance. **Returns:** MAUDE reports with id, title, reportNumber, eventType, adverseEventFlag, productProblems, device info (brandName, genericName, manufacturer, deviceClass, productCode, modelNumber), patientProblems, dates, and narrative text snippets.

NameTypeReqDescription
fstring–Space-delimited filters in `field:"value"` format. Facet fields: event_type, device.device_class, device.manufacturer_d_name, device.device_report_product_code, device.regulation_number, report_sourc…
pinteger–Page number (default: 1)
qstring–Search query (device name, manufacturer, event description, product code, etc.)
sstring–Sort field (default: _relevance)
sortDirstring–Sort direction (default: desc). Ignored when s is _relevance.

No output schema declared.

No examples provided.

search_mhra ~604

Search MHRA (Medicines and Healthcare products Regulatory Agency) safety alerts and publications. This dataset contains full-text content from MHRA drug safety alerts, medical device alerts, field safety notices, and regulatory publications. Search covers headlines, descriptions, and page-level document content. Use this tool when the question involves UK drug safety communications, MHRA medical device alerts, field safety notices, drug recalls, or MHRA regulatory guidance. **Parameters:** - q: Search query (drug names, device types, safety issues, alert topics, etc.) - f: Space-delimited filters in `field:"value"` format. - Facet filters: `ontology.tags`, `ontology.categories`, `domain` - Date range filters on `attachments.file.createdAt` or `attachments.file.modifiedAt`: - Suffix notation: append `gte` (>=) or `lt` (<) to the field name. Example for Q4 2025: `attachments.file.createdAtgte:"2025-10-01" attachments.file.createdAtlt:"2026-01-01"` - Comma notation: `attachments.file.createdAt:"2025-10-01,2026-01-01"` (gte,lt) - Accepted date formats: YYYY-MM-DD, YYYY-MM-DDTHH:MM:SS, YYYY-MM-DDTHH:MM:SS+ZZZZ, or epoch milliseconds. - p: Page number (default: 1) **Example queries:** - Immunosuppressant alerts in Q4 2025: q="immunosuppressant", f='attachments.file.createdAtgte:"2025-10-01" attachments.file.createdAtlt:"2026-01-01"' - All drug safety updates since March 2025: q="drug safety update", f='attachments.file.createdAtgte:"2025-03-01"' - Medical device alerts from gov.uk: q="medical device alert", f='domain:"gov.uk"' **Returns:** Alerts with id, headline, description, tags, categories, date, and page-level content snippets showing where the query matched.

NameTypeReqDescription
fstring–Space-delimited filters in `field:"value"` format. Facet fields: ontology.tags, ontology.categories, domain. Date range: use attachments.file.createdAt or attachments.file.modifiedAt with gte/lt suff…
pinteger–Page number (default: 1)
qstring–Search query (drug names, device types, safety issues, etc.)

No output schema declared.

No examples provided.

search_patents ~338

Search patent families from the scite patents database. Use this tool to find patents related to scientific research topics. Returns patent families with titles, abstracts, inventors, assignees, filing status, and citation counts. **Parameters:** - q: Search query string (keywords, inventor name, assignee, etc.) - f: Space-delimited filters in key:value format (e.g. "assignee:Pfizer filing_status:granted") - p: Page number (default: 1) - s: Sort field (default: _relevance). Options: - _relevance: relevance score (sortDir ignored) - forwardCitationCount: number of forward citations - familySize: number of patents in the family - patents.publications.pubRef.date: publication date - patents.appRef.filingDate: application filing date - sortDir: Sort direction, asc or desc (default: desc). Ignored when s is _relevance. **Returns:** Patent families with metadata including title, abstract, inventors, assignees, classifications, and publication references.

NameTypeReqDescription
fstring–Space-delimited filters in key:value format. Example: 'assignee:Pfizer filing_status:granted'
pinteger–Page number (default: 1)
qstring–Search query (keywords, inventor, assignee, CPC code, etc.)
sstring–Sort field (default: _relevance)
sortDirstring–Sort direction (default: desc). Ignored when s is _relevance.

No output schema declared.

No examples provided.

update_collection ~259

Update a DOI-list Collection the signed-in user can edit. Partial update: only the fields you supply change; omitted fields keep their current values. Omitting `dois` leaves the DOI list untouched; supplying `dois` replaces it (unknown DOIs are dropped and surfaced via `unmatchedDoiCount`). Requires EDITOR or ADMIN access. Only DOI-list Collections can be updated here — saved-search Collections are managed in the scite web app. **Parameters:** - slug: The Collection slug (required). - name: New name (optional). - description: New description (optional). - dois: Replacement DOI list (optional; omit to leave DOIs unchanged). - is_public: New public flag (optional). **Returns:** The updated Collection with id, slug, name, accessType, and DOI counts.

NameTypeReqDescription
descriptionstring–New description
doisarray–Replacement DOI list (omit to leave DOIs unchanged), e.g. ['10.1038/s41586-020-2649-2']
is_publicboolean–If true, anyone with the slug can view
namestring–New Collection name
slugstringyesThe Collection slug

No output schema declared.

No examples provided.

Common questions

What is the Scite MCP server?

Scite is an MCP server listed in the public MCP registry as ai.scite/mcp. Ground answers in scientific literature. Search full text, evaluate trust, access full-text articles. This page covers its hosted endpoint (https://api.scite.ai/mcp).

Is the Scite MCP server safe to use?

Scite scores 36 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Scite MCP server expose?

Scite exposes 25 tools: search_literature, search_patents, search_clinical_trials, get_clinical_trial, search_grants, and 20 more. Their descriptions and schemas cost roughly 9,655 tokens of context every time the server is loaded.

Does the Scite MCP server require authentication?

Yes. Scite asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.

Is the Scite MCP server still maintained?

Scite is still listed as active in the MCP registry. We last reached this channel on 4 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.