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 π§¬
Unofficial Model Context Protocol server for accessing Open Targets platform data for gene-drug-disease associations research.
Developed by Augmented Nature
β Verified Features
All 6 tools working with live Open Targets API data:
π― Target Search - Gene symbols, names, descriptions (BRCA1, TP53, etc.)
π¦ Disease Search - Names, synonyms, descriptions (cancer, diabetes, etc.)
π Target-Disease Associations - Evidence scores from 20+ databases
π Disease Target Summaries - Prioritized therapeutic targets
𧬠Target Details - Comprehensive gene/protein information
π Disease Details - Complete disease profiles with ontologies
Related MCP server: Zenn MCP Server
π Quick Start
# Install and build
npm install
npm run build
# Run the server
node build/index.jsπ 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.jsπ οΈ Available Tools
π― 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
π¦ 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)
}
}π 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
}
}π 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)
}
}𧬠get_target_details
Get comprehensive target information
{
"name": "get_target_details",
"arguments": {
"id": "ENSG00000012048" // Target Ensembl gene ID
}
}π get_disease_details
Get comprehensive disease information
{
"name": "get_disease_details",
"arguments": {
"id": "EFO_0000305" // Disease EFO ID
}
}π 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
π§ͺ 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}}π¬ 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)
ποΈ 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
π 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
π€ 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}