reviewpaper.ai
REMOTE · REVIEWPAPER.AI
Review forms for 29 ML/NLP/CV venues, AI conference deadlines and ICLR acceptance odds.
Available components
Last scanned (10 hours ago)
Scores higher than 82% of remote servers
Reachable. Last reached 24 Oct 2026.
Category Education and Research
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 Security80
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability73
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 919 tokens (~131/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management40
- Stability observed for 12 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage97
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 92% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
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.
- 24 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.
- 22 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.
- 20 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Oct 26 +1
- The server rewrote its instructions, which are the text every model session reads security
- 13 Oct 26 +1
- Stability: unverified → 0.03 ▲ functional
- 12 Oct 26 73
First indexed and scored.
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 24 Oct 2026 · Probed https://reviewpaper.ai/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=*.reviewpaper.ai | CN=YR2,O=Let's Encrypt,C=US | 11 Oct 2026 | 9 Jan 2027 | RSA 2048 | SHA256-RSA | 670cb933b74fe02a80786490a09e234a9c0 |
| SANs: *.reviewpaper.ai, reviewpaper.ai | ||||||
| CN=YR2,O=Let's Encrypt,C=US (CA) | CN=Root YR,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | RSA 2048 | SHA256-RSA | 4ebd24947e24d394802d84a52fd5b319 |
| CN=Root YR,O=ISRG,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | RSA 4096 | SHA256-RSA | f24b6d17f9d9ad7cb1c9fea78782699f |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of reviewpaper.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 3799 | 8 | Verified |
| reviewpaper.ai. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=63072000 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://reviewpaper.ai/mcp | Verified | 200 | |
| http (plaintext) | http://reviewpaper.ai/mcp | HTTPS enforced | 308 | https://reviewpaper.ai/mcp |
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 →
convert_score Convert a review score across venues ~94
Map an overall review score at one venue to the same position on other venues' scales, keeping its distance from each venue's rough acceptance bar. A heuristic for intuition, not an official equivalence.
| Name | Type | Req | Description |
|---|---|---|---|
| score | number | yes | Overall score on that venue's scale. |
| to | array | – | Target venues (default: all). |
| venue | string | yes | Venue the score is from, e.g. 'neurips'. |
No output schema declared.
No examples provided.
get_deadline Get one conference's deadlines ~94
Full timeline for one conference edition: abstract/registration, paper, author response and decision dates (AoE + ISO), plus links to its review form. Accepts 'cvpr-2027', 'CVPR 2027' or just 'CVPR' (next upcoming edition).
| Name | Type | Req | Description |
|---|---|---|---|
| conference | string | yes | e.g. 'cvpr-2027', 'ICML 2027', 'neurips'. |
No output schema declared.
No examples provided.
get_llm_policy Get a venue's LLM / AI-use policy ~57
What a venue allows authors and reviewers to do with LLMs, with the official policy link. Use before advising someone on AI use for a submission or a review.
| Name | Type | Req | Description |
|---|---|---|---|
| venue | string | yes | Venue slug, name or alias. |
No output schema declared.
No examples provided.
get_review_form Get a venue's reviewer form ~109
The exact reviewer form for a venue: every field in order with guidance, each score scale with its official labels, the author checklist, the area-chair meta-review, the rough acceptance bar and the venue's LLM policy. Accepts a slug, name or alias (e.g. 'iclr', 'NeurIPS', 'ACL Rolling Review', 'cvpr').
| Name | Type | Req | Description |
|---|---|---|---|
| venue | string | yes | Venue slug, name or alias, e.g. 'iclr' or 'CVPR'. |
No output schema declared.
No examples provided.
iclr_acceptance_odds ICLR acceptance odds from review scores ~105
Historical ICLR acceptance rate for papers with similar reviewer ratings, from public OpenReview decisions (kernel estimate over past score profiles). Give 3–6 ratings as the reviewers gave them. Not a prediction of any decision.
| Name | Type | Req | Description |
|---|---|---|---|
| scores | array | yes | Reviewer ratings, e.g. [6, 6, 8, 4]. |
| year | integer | – | Reference year: 2026, 2025, 2024 (default: latest). |
No output schema declared.
No examples provided.
list_deadlines List upcoming AI conference deadlines ~183
Upcoming paper and abstract deadlines for ~64 ML, CV, NLP, robotics, speech, data-mining and AI conferences, soonest first, in AoE and ISO-8601 UTC. Projected (not yet announced) dates are excluded unless include_estimated is true.
| Name | Type | Req | Description |
|---|---|---|---|
| area | string | – | Area code: ML (Machine learning), CV (Computer vision), NLP (Natural language processing), RO (Robotics), SP (Speech and signal processing), DM (Data mining), AP (Applications (health, bio, finance…)… |
| include_estimated | boolean | – | Include dates projected from last year. |
| limit | integer | – | – |
| within_days | integer | – | Only deadlines within this many days. |
No output schema declared.
No examples provided.
list_venues List venues with review forms ~68
List the 29 ML / NLP / CV / data-mining venues whose reviewer forms reviewpaper.ai models, with the overall score scale, whether the form is official or modeled, and links. Use get_review_form for the full form.
| Name | Type | Req | Description |
|---|---|---|---|
| area | string | – | Optional venue area filter. |
No output schema declared.
No examples provided.
How do I install the reviewpaper.ai MCP server?
reviewpaper.ai is a hosted endpoint at https://reviewpaper.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 · reviewpaper.ai
claude mcp add --transport http ai-reviewpaper-reviewpaper 'https://reviewpaper.ai/mcp'
What is the reviewpaper.ai MCP server?
reviewpaper.ai is an MCP server listed in the public MCP registry as ai.reviewpaper/reviewpaper. Review forms for 29 ML/NLP/CV venues, AI conference deadlines and ICLR acceptance odds. This page covers its hosted endpoint (https://reviewpaper.ai/mcp).
Is the reviewpaper.ai MCP server safe to use?
reviewpaper.ai scores 79 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 reviewpaper.ai MCP server expose?
reviewpaper.ai exposes 7 tools: list_venues, get_review_form, list_deadlines, get_deadline, iclr_acceptance_odds, and 2 more. Their descriptions and schemas cost roughly 710 tokens of context every time the server is loaded.
Does the reviewpaper.ai MCP server require authentication?
No. We connected to reviewpaper.ai without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the reviewpaper.ai MCP server still maintained?
reviewpaper.ai is still listed as active in the MCP registry. We last reached this channel on 24 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.