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Opentargets

by nickzrenversion 0.7.0i★ –iRuns on your computer
Registry nameio.github.nickzren/opentargets

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Clinics & health

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add opentargets -- uvx opentargets-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "opentargets": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "opentargets-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account nickzren, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Clinics & healthi

  • More stars than 0% of the other 1022 servers in this category
  • Published to the registry more recently than 51% of the other 1022 servers in this category
  • Basic checks equal to or better than 100% of the other 1022 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Opentargets safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.7.0) reached the registry 29 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Mirobody, FHIR MCP Server, Google Health MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Mirobody

by thetahealth

Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.

Runs on your computer★ 1,408Apache-2.0Updated today
Install

MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications

Runs on your computer★ 137Apache-2.0Updated 9 days ago
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Google Health MCP

by davidmosiah

Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents

Runs on your computer★ 79MITUpdated 4 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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 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

flowchart LR

A(["AI agent 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 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:

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

MIT

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