Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Description from the maker (original English)
Read-only Open Targets: targets, diseases, drugs and evidence by name or ID. No API key needed.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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-mcpPaste 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.
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.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account nickzren, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.7.0) reached the registry 29 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Mirobody, FHIR MCP Server, Google Health MCP
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
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
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.
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.
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:
spawn uvx ENOENT, use the full path from which uvx.opentargets-mcp@latest as the argument to pick up new releases.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.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.
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.
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.
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.
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.
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/.