MCP server: One MCP server.

Opentargets

@nickzrenMCP server · External

Read-only Open Targets: targets, diseases, drugs and evidence by name or ID. No API key needed.

Biology & genomicsv0.7.0MITPython
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

PyPIopentargets-mcpv0.7.0

Run

uvx opentargets-mcp

MCP client config

{
  "mcpServers": {
    "opentargets": {
      "command": "uvx",
      "args": [
        "opentargets-mcp"
      ]
    }
  }
}
README3 min read

Open Targets MCP Server

CI PyPI Python MCP Registry License: MIT

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

bash
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:

json
{
  "mcpServers": {
    "opentargets": {
      "command": "uvx",
      "args": ["opentargets-mcp"]
    }
  }
}

VS Code

bash
code --add-mcp '{"name":"opentargets","command":"uvx","args":["opentargets-mcp"]}'

Codex

bash
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 from which uvx.
  • Use opentargets-mcp@latest as the argument to pick up new releases.
  • On Apple Silicon, a cryptography build error can indicate uv picked an Intel (Rosetta) Python. uv python find is 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.

AreaExamples
Targetsget_target_info, get_target_known_drugs
Diseasesget_disease_info, get_disease_associated_targets
Drugsget_drug_info, get_drug_adverse_events
Evidenceget_target_disease_evidence
Variants and studiesget_variant_info, get_credible_sets
Search and lookupsearch_entities, map_ids
Workflowget_drug_repurposing_candidates
Raw GraphQLgraphql_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

mermaid
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):

VariableFlagDefault
MCP_TRANSPORT--transportstdio (also http, sse)
FASTMCP_SERVER_HOST--host0.0.0.0
FASTMCP_SERVER_PORT--port8000
OPEN_TARGETS_API_URL--apihttps://api.platform.opentargets.org/api/v4/graphql
OPEN_TARGETS_RATE_LIMIT_RPS--rate-limit-rps0 (off); limits incoming MCP requests
OPEN_TARGETS_RATE_LIMIT_BURST--rate-limit-burst20

Proxies are read from HTTPS_PROXY, HTTP_PROXY and NO_PROXY.

Self-host

From source:

bash
git clone https://github.com/nickzren/opentargets-mcp
cd opentargets-mcp
uv run opentargets-mcp

With Docker (HTTP on port 8000), from the clone:

bash
docker compose up -d --build

Connect your MCP client to http://localhost:8000/mcp.

Development

bash
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

MIT

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