Opentargets
NPM · @PIPEWORX/MCP-OPENTARGETS · 2 COMPONENTS
Open Targets MCP — disease/target/drug knowledge graph.
Available components
Last scanned (6 hours ago)
Scores higher than 72% of npm servers
Category Health and Science
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency97
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Cryptographically verified build provenance (signed, bound to pipeworx-io/mcp-opentargets). View diagnostics → Pass
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 1 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability67
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 797 tokens (~113/item across 7 items; 7 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage86
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 58% 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 supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Checks we ran (16)
- Malware scan
- Known CVEs
- Install scripts
- Dependency health
- Source repository
- Provenance
- License
- Maintenance
- Security disclosure
- Schema quality
- Stability
- Tool coverage
- Injection markers
- Destructive annotations
- Judged manipulation
- MCP protocol
Does not apply to this package (2)
- Endpoint SecurityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
- Transport & ReachabilityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
The score does not measure everything. What the score does not measure →
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.
- 5 Nov 26 +16
- Malware scan: unverified → pass ▲ security
- 4 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- Package version: 0.2.0 → 0.2.1 functional
- 3 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 1 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 30 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 0 to 3. That category is still filling its 30-day observation window: 0 days of observed history at the previous scan, 1 at this one. The score rises as the window fills, whether or not the server changes.
- 29 Oct 26 78
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 5 Nov 2026 · Analysed npm/@pipeworx/mcp-opentargets@0.2.1
Provenance Verified
A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.
| Result | Verified |
|---|---|
| Ecosystem | npm |
| Reason | Verified |
| Discovered via | Registry attestation endpoint |
| Source repo | pipeworx-io/mcp-opentargets |
| Certificate issuer | https://token.actions.githubusercontent.com |
| Certificate SAN | https://github.com/pipeworx-io/mcp-opentargets/.github/workflows/publish.yml@refs/heads/main |
| Rekor log index | 3685165458 |
| Predicate type | SLSA build provenance https://slsa.dev/provenance/v1 |
| Subject digest | sha512:b7e2bf3a241feb3e00c267feceab85aa9f58fc3f893af8c9216ba0bb4088c146f228dc4c482c85b6bbf65ee1afa8a76c20958ea7786e2550d00372873 |
Background: How many MCP packages publish verified provenance →
Dependencies 0 packages
| Packages resolved | 0 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
disease ~96
"Disease profile for [EFO_N]" / "look up disease [ID]" — fetch a disease profile from Open Targets by EFO (Experimental Factor Ontology) ID. Returns name, description, therapeutic areas, ontology cross-refs. Pair with `disease_associations` to find drug targets for the disease.
| Name | Type | Req | Description |
|---|---|---|---|
| efo_id | string | yes | e.g. "EFO_0000270" (asthma) |
No output schema declared.
No examples provided.
disease_associations ~82
"Best drug targets for [disease]" / "what genes are linked to [condition]" / "druggable targets in [disease]" — top drug-target candidates for a disease (EFO ID), scored by integrated evidence. Use for target discovery in a therapeutic area.
| Name | Type | Req | Description |
|---|---|---|---|
| efo_id | string | yes | – |
| size | number | – | – |
No output schema declared.
No examples provided.
drug ~101
"Drug info for [ChEMBL ID]" / "look up [drug] target info" / "[CHEMBL...] mechanism" — fetch a drug profile from Open Targets by ChEMBL ID. Returns name, mechanisms of action, indications, target genes, trade names, clinical-trial phase. Use for drug research, mechanism queries.
| Name | Type | Req | Description |
|---|---|---|---|
| chembl_id | string | yes | e.g. "CHEMBL1201583" (imatinib) |
No output schema declared.
No examples provided.
search ~146
"Find [disease / drug / gene target]" / "Open Targets lookup for [name]" / "what's the Open Targets ID for [X]" — text search across diseases, drug targets, and drugs in the Open Targets Platform (the leading drug-discovery knowledge graph). Returns ranked matches with their canonical IDs (ENSG... for targets, EFO_... for diseases, CHEMBL... for drugs). Use first to find IDs, then call target/disease/drug for details.
| Name | Type | Req | Description |
|---|---|---|---|
| entity | string | – | target | disease | drug (omit for all) |
| query | string | yes | – |
| size | number | – | 1-50 (default 10) |
No output schema declared.
No examples provided.
target ~107
"Drug target profile for [gene]" / "is [gene] a druggable target" / "[gene] target info" / "target ID [ENSG...]" — fetch a drug-target profile (Open Targets uses Ensembl gene IDs as target identifiers). Returns approved symbol, name, biotype, protein IDs, pathways, synonyms. Use for target characterization in drug discovery.
| Name | Type | Req | Description |
|---|---|---|---|
| ensembl_id | string | yes | e.g. "ENSG00000141510" (TP53) |
No output schema declared.
No examples provided.
target_associations ~109
"What diseases is [gene] involved in" / "diseases associated with [target]" / "what does [gene] cause" — top disease associations for a drug target (Ensembl gene ID), scored by integrated Open Targets evidence (genetics, expression, animal models, drugs, literature, pathways). Use to triage what diseases a candidate target might address.
| Name | Type | Req | Description |
|---|---|---|---|
| ensembl_id | string | yes | – |
| size | number | – | 1-50 (default 10) |
No output schema declared.
No examples provided.
target_known_drugs ~101
"What drugs target [gene]" / "approved drugs against [target]" / "clinical-trial drugs for [gene]" — drugs that have been clinically tested or approved against a drug target (Ensembl gene ID). Returns drug names, mechanisms, indications, clinical trial phases. Use for competitive landscape / drug-repositioning queries.
| Name | Type | Req | Description |
|---|---|---|---|
| ensembl_id | string | yes | – |
| size | number | – | 1-100 (default 25) |
No output schema declared.
No examples provided.
How do I install the Opentargets MCP server?
Opentargets runs locally as an npm package, launched with npx -y @pipeworx/mcp-opentargets. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @pipeworx/mcp-opentargets
claude mcp add pipeworx-io-opentargets -- npx -y @pipeworx/mcp-opentargets
What is the Opentargets MCP server?
Opentargets is an MCP server listed in the public MCP registry as io.github.pipeworx-io/opentargets. Open Targets MCP, disease/target/drug knowledge graph. This page covers its npm package (@pipeworx/mcp-opentargets).
Is the Opentargets MCP server safe to use?
Opentargets scores 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. 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 Opentargets MCP server expose?
Opentargets exposes 7 tools: target, disease, drug, search, target_associations, and 2 more. Their descriptions and schemas cost roughly 742 tokens of context every time the server is loaded.
Is the Opentargets MCP server still maintained?
Opentargets is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Opentargets MCP server under?
Opentargets declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.
What did VerifyMCP test on the Opentargets MCP server?
VerifyMCP ran 16 checks on Opentargets, covering Malware scan, Known CVEs, Install scripts, Dependency health and 12 more. Endpoint Security and Transport & Reachability do not apply to an npm package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.