OpenTargets MCP Server
Uses GraphQL queries to efficiently retrieve data from the Open Targets platform API
Displays API version badges for the Open Targets platform integration
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@OpenTargets MCP Serversearch for targets related to breast cancer"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.

Unofficial Open Targets MCP Server ๐งฌ
Unofficial Model Context Protocol server for accessing Open Targets platform data for gene-drug-disease associations research.
Developed by Augmented Nature
โ Verified Features
All 6 tools working with live Open Targets API data:
๐ฏ Target Search - Gene symbols, names, descriptions (BRCA1, TP53, etc.)
๐ฆ Disease Search - Names, synonyms, descriptions (cancer, diabetes, etc.)
๐ Target-Disease Associations - Evidence scores from 20+ databases
๐ Disease Target Summaries - Prioritized therapeutic targets
๐งฌ Target Details - Comprehensive gene/protein information
๐ญ Disease Details - Complete disease profiles with ontologies
Related MCP server: Zenn MCP Server
๐ Quick Start
# Install and build
npm install
npm run build
# Run the server
node build/index.js๐ MCP Client Configuration
Claude Desktop
{
"mcpServers": {
"opentargets-server": {
"command": "node",
"args": ["/path/to/opentargets-server/build/index.js"]
}
}
}Other MCP Clients
node /path/to/opentargets-server/build/index.js๐ ๏ธ Available Tools
๐ฏ search_targets
Search therapeutic targets by gene symbol, name, or description
{
"name": "search_targets",
"arguments": {
"query": "BRCA1", // Gene symbol, name, or description
"size": 10 // Optional: 1-500 results (default: 25)
}
}Example Results:
BRCA1 (ENSG00000012048) - BRCA1 DNA repair associated
BRCA2 (ENSG00000139618) - BRCA2 DNA repair associated
BRIP1 (ENSG00000136492) - BRCA1 interacting DNA helicase 1
๐ฆ search_diseases
Search diseases by name, synonym, or description
{
"name": "search_diseases",
"arguments": {
"query": "breast cancer", // Disease name, synonym, or description
"size": 10 // Optional: 1-500 results (default: 25)
}
}๐ get_target_disease_associations
Get target-disease associations with evidence scores
{
"name": "get_target_disease_associations",
"arguments": {
"targetId": "ENSG00000012048", // Target Ensembl ID
"size": 10 // Optional: 1-500 results
}
}OR
{
"name": "get_target_disease_associations",
"arguments": {
"diseaseId": "EFO_0000305", // Disease EFO ID
"size": 10 // Optional: 1-500 results
}
}๐ get_disease_targets_summary
Get prioritized targets associated with a disease
{
"name": "get_disease_targets_summary",
"arguments": {
"diseaseId": "EFO_0000305", // Disease EFO ID (required)
"size": 20 // Optional: 1-500 targets (default: 50)
}
}๐งฌ get_target_details
Get comprehensive target information
{
"name": "get_target_details",
"arguments": {
"id": "ENSG00000012048" // Target Ensembl gene ID
}
}๐ญ get_disease_details
Get comprehensive disease information
{
"name": "get_disease_details",
"arguments": {
"id": "EFO_0000305" // Disease EFO ID
}
}๐ Resource Templates
Access Open Targets data through standardized URIs:
opentargets://target/{ensemblId}- Complete target informationopentargets://disease/{efoId}- Complete disease informationopentargets://drug/{chemblId}- Drug informationopentargets://association/{targetId}/{diseaseId}- Association evidenceopentargets://search/{query}- Search results
๐งช Real-World Examples
Cancer Research Workflow
# 1. Search for cancer-related targets
{"name": "search_targets", "arguments": {"query": "oncogene", "size": 10}}
# 2. Get detailed info for specific target
{"name": "get_target_details", "arguments": {"id": "ENSG00000012048"}}
# 3. Find all diseases associated with BRCA1
{"name": "get_target_disease_associations", "arguments": {"targetId": "ENSG00000012048"}}
# 4. Get top targets for breast cancer
{"name": "get_disease_targets_summary", "arguments": {"diseaseId": "EFO_0000305", "size": 20}}Drug Discovery Pipeline
# 1. Search for Alzheimer's disease
{"name": "search_diseases", "arguments": {"query": "Alzheimer", "size": 5}}
# 2. Get disease details
{"name": "get_disease_details", "arguments": {"id": "EFO_0000249"}}
# 3. Find prioritized therapeutic targets
{"name": "get_disease_targets_summary", "arguments": {"diseaseId": "EFO_0000249", "size": 30}}๐ฌ Data Sources & Standards
Open Targets integrates 20+ databases:
ChEMBL - Drug & compound data
Ensembl - Gene & protein annotations
EFO - Experimental Factor Ontology
ClinVar - Clinical variant data
GWAS Catalog - Genome-wide association studies
UniProt - Protein sequences & functions
Reactome - Biological pathways
And many more...
Standardized Identifiers:
Targets: Ensembl gene IDs (e.g., ENSG00000012048)
Diseases: EFO IDs (e.g., EFO_0000305)
Drugs: ChEMBL IDs (e.g., CHEMBL1234)
๐๏ธ Architecture
TypeScript implementation with robust type safety
GraphQL queries for efficient data retrieval
MCP Protocol compliant JSON-RPC communication
Error Handling with comprehensive validation
Production Ready with 30s timeouts and proper logging
๐ API Information
Base URL:
https://api.platform.opentargets.org/api/v4/graphqlVersion: Open Targets v25.0.1
Rate Limits: Generous for research use
Authentication: None required
Format: GraphQL queries, JSON responses
๐ค Contributing
This server is developed and maintained by Augmented Nature. For enhancements:
Fork the repository
Make your changes
Submit a pull request
Support
For issues with:
MCP Server: Check the server logs and error outputs
Open Targets API: Visit platform.opentargets.org
GraphQL Queries: Use the Open Targets GraphQL browser
Citation
If you use this project in your research or publications, please cite it as follows:
author = {Moudather Chelbi},
title = {OpenTargets MCP Server},
year = {2025},
howpublished = {https://github.com/Augmented-Nature/OpenTargets-MCP-Server},
note = {Accessed: 2025-06-29}Resources
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