About Opentargets MCP
Opentargets MCP is an MCP server published by nickzren in the AI category: mCP server for Open Targets data.
The repository has 19 stars and 8 forks, with the last commit 8 days ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
git clone https://github.com/nickzren/opentargets-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Opentargets MCP
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- ✓Tests presentA test suite exists in the repository.
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Releases
README
Open Targets MCP Server
A read-only MCP server for exploring targets, diseases, drugs and genetic evidence through the Open Targets Platform. Use names or IDs, retrieve supporting evidence, and explore drug-repurposing candidates. No Open Targets API key required.
Install
Requires uv.
Claude Code
claude mcp add opentargets -- uvx opentargets-mcp
Claude Desktop and Cursor: add this to claude_desktop_config.json (Settings → Developer → Edit Config) or ~/.cursor/mcp.json, then restart:
{
"mcpServers": {
"opentargets": {
"command": "uvx",
"args": ["opentargets-mcp"]
}
}
}
VS Code
code --add-mcp '{"name":"opentargets","command":"uvx","args":["opentargets-mcp"]}'
Codex
codex mcp add opentargets -- uvx opentargets-mcp
Any other stdio MCP client works the same way: command uvx, argument opentargets-mcp.
Tips:
- If the client reports
spawn uvx ENOENT, use the full path fromwhich uvx. - Use
opentargets-mcp@latestas the argument to pick up new releases. - On Apple Silicon, a
cryptographybuild error can indicate uv picked an Intel (Rosetta) Python.uv python findis a first clue; cached tool environments and desktop clients may use a different interpreter.
What you can ask
- "Which drugs target EGFR, and how far along are they?"
- "Which genes are most strongly associated with asthma?"
- "Show the evidence linking BRAF to melanoma."
- "Suggest drug repurposing candidates for type 2 diabetes."
Use names or IDs: gene symbols, disease and drug names, rsIDs, or Ensembl, MONDO and ChEMBL IDs. If a name matches several entities, the tool lists the candidates so you can pick one.
Tools
68 tools. Run uvx opentargets-mcp --list-tools for the full list.
| Area | Examples |
|---|---|
| Targets | get_target_info, get_target_known_drugs |
| Diseases | get_disease_info, get_disease_associated_targets |
| Drugs | get_drug_info, get_drug_adverse_events |
| Evidence | get_target_disease_evidence |
| Variants and studies | get_variant_info, get_credible_sets |
| Search and lookup | search_entities, map_ids |
| Workflow | get_drug_repurposing_candidates |
| Raw GraphQL | graphql_query, graphql_schema |
Many tools accept fields (dot-paths such as ["target.approvedSymbol"]) to return only what you need. For anything the curated tools don't cover, use graphql_query.
Evidence results include datasource IDs and PubMed references where available. Use get_api_metadata to record the Open Targets API and data release with your analysis. clinicalReportCount counts report records, not unique trials; use graphql_query for full reports.
How it works
flowchart LR
A(["AI agent<br/>Claude · Codex · VS Code · Cursor"])
subgraph S["opentargets-mcp"]
direction TB
S1["1. Resolve names to IDs"]
S2["2. Run read-only queries"]
S3["3. Return structured JSON"]
S1 --> S2 --> S3
end
subgraph O["Open Targets Platform"]
direction TB
API["GraphQL API"]
DB[("ChEMBL · GWAS Catalog<br/>ClinVar · Europe PMC · more")]
API --- DB
end
A <-->|MCP| S
S <-->|GraphQL| O
classDef client fill:#e8f0fe,stroke:#4285f4,color:#1f2328
classDef step fill:#ffffff,stroke:#34a853,color:#1f2328
classDef data fill:#ffffff,stroke:#f9ab00,color:#1f2328
class A client
class S1,S2,S3 step
class API,DB data
style S fill:#e6f4ea,stroke:#34a853,color:#1f2328
style O fill:#fef7e0,stroke:#f9ab00,color:#1f2328
Ask in plain language; the server turns names into Open Targets IDs, runs read-only queries and returns structured results. No API key needed.
Configuration
The defaults work for local use. To change them, set environment variables or pass flags (uvx opentargets-mcp --help):
| Variable | Flag | Default |
|---|---|---|
MCP_TRANSPORT |
--transport |
stdio (also http, sse) |
FASTMCP_SERVER_HOST |
--host |
0.0.0.0 |
FASTMCP_SERVER_PORT |
--port |
8000 |
OPEN_TARGETS_API_URL |
--api |
https://api.platform.opentargets.org/api/v4/graphql |
OPEN_TARGETS_RATE_LIMIT_RPS |
--rate-limit-rps |
0 (off); limits incoming MCP requests |
OPEN_TARGETS_RATE_LIMIT_BURST |
--rate-limit-burst |
20 |
Proxies are read from HTTPS_PROXY, HTTP_PROXY and NO_PROXY.
Self-host
From source:
git clone https://github.com/nickzren/opentargets-mcp
cd opentargets-mcp
uv run opentargets-mcp
With Docker (HTTP on port 8000), from the clone:
docker compose up -d --build
Connect your MCP client to http://localhost:8000/mcp.
Development
uv sync --extra dev
uv run ruff check src tests
uv run pytest -m "not live" # offline
uv run pytest -m live # calls the Open Targets API
Example scripts are in examples/.
License
README fetched from the repository 2 hours ago. The original is authoritative.