Unofficial Reactome MCP Server
Access Reactome pathway and systems biology data via its live API.

Unofficial Reactome MCP Server ๐งฌ
Model Context Protocol server for accessing Reactome pathway and systems biology data.
Developed by Augmented Nature - Advancing AI for Scientific Discovery
โ Verified Features
All 8 tools working with live Reactome API data:
- ๐ Pathway Search - Search biological pathways by name, process, keywords
- ๐ Pathway Details - Comprehensive pathway information and components
- ๐งฌ Gene-to-Pathways - Find pathways containing specific genes/proteins
- ๐ฆ Disease Pathways - Disease-associated biological mechanisms
- ๐ฒ Pathway Hierarchy - Parent/child relationships and pathway structure
- ๐งช Pathway Participants - All molecules participating in pathways
- โ๏ธ Biochemical Reactions - Detailed reaction information
- ๐ Protein Interactions - Molecular interactions within pathways
๐ Quick Start
# Install and build
npm install
npm run build
# Run the server
node build/index.js
๐ MCP Client Configuration
Claude Desktop
{
"mcpServers": {
"reactome-server": {
"command": "node",
"args": ["/path/to/reactome-server/build/index.js"]
}
}
}
Other MCP Clients
node /path/to/reactome-server/build/index.js
๐ ๏ธ Available Tools
๐ search_pathways
Search for biological pathways by name, description, or keywords
{
"name": "search_pathways",
"arguments": {
"query": "cell cycle", // Pathway name, process, or keywords
"type": "pathway", // Optional: pathway, reaction, protein, complex, disease
"size": 20 // Optional: 1-100 results (default: 20)
}
}
Example Results:
- Cell Cycle (R-HSA-1640170) - Cell cycle progression and regulation
- Cell Cycle Checkpoints (R-HSA-69620) - Quality control mechanisms
- Mitotic G1-G1/S phases (R-HSA-453279) - G1 phase progression
๐ get_pathway_details
Get comprehensive information about a specific pathway
{
"name": "get_pathway_details",
"arguments": {
"id": "R-HSA-1640170" // Reactome pathway stable identifier
}
}
๐งฌ find_pathways_by_gene
Find all pathways containing a specific gene or protein
{
"name": "find_pathways_by_gene",
"arguments": {
"gene": "BRCA1", // Gene symbol or UniProt ID
"species": "Homo sapiens" // Optional: species (default: Homo sapiens)
}
}
๐ฆ find_pathways_by_disease
Find disease-associated pathways and mechanisms
{
"name": "find_pathways_by_disease",
"arguments": {
"disease": "cancer", // Disease name or DOID identifier
"size": 25 // Optional: 1-100 pathways (default: 25)
}
}
๐ฒ get_pathway_hierarchy
Get hierarchical structure and parent/child relationships
{
"name": "get_pathway_hierarchy",
"arguments": {
"id": "R-HSA-1640170" // Reactome pathway stable identifier
}
}
๐งช get_pathway_participants
Get all molecules (proteins, genes, compounds) in a pathway
{
"name": "get_pathway_participants",
"arguments": {
"id": "R-HSA-1640170" // Reactome pathway stable identifier
}
}
โ๏ธ get_pathway_reactions
Get all biochemical reactions within a pathway
{
"name": "get_pathway_reactions",
"arguments": {
"id": "R-HSA-1640170" // Reactome pathway stable identifier
}
}
๐ get_protein_interactions
Get protein-protein interactions within pathways
{
"name": "get_protein_interactions",
"arguments": {
"pathwayId": "R-HSA-1640170", // Reactome pathway stable identifier
"interactionType": "all" // Optional: protein-protein, regulatory, catalysis, all
}
}
๐ Resource Templates
Access Reactome data through standardized URIs:
reactome://pathway/{id}- Complete pathway informationreactome://reaction/{id}- Detailed reaction informationreactome://protein/{id}- Protein details and associationsreactome://disease/{id}- Disease-associated pathwaysreactome://search/{query}- Search results
๐งช Real-World Examples
Systems Biology Workflow
# 1. Search for DNA repair pathways
{"name": "search_pathways", "arguments": {"query": "DNA repair", "size": 10}}
# 2. Get detailed pathway information
{"name": "get_pathway_details", "arguments": {"id": "R-HSA-5696394"}}
# 3. Find all pathways containing BRCA1
{"name": "find_pathways_by_gene", "arguments": {"gene": "BRCA1"}}
# 4. Get pathway participants
{"name": "get_pathway_participants", "arguments": {"id": "R-HSA-5696394"}}
Disease Mechanism Research
# 1. Search for cancer-related pathways
{"name": "find_pathways_by_disease", "arguments": {"disease": "cancer", "size": 15}}
# 2. Get pathway hierarchy for oncogenic signaling
{"name": "get_pathway_hierarchy", "arguments": {"id": "R-HSA-5637815"}}
# 3. Analyze biochemical reactions
{"name": "get_pathway_reactions", "arguments": {"id": "R-HSA-5637815"}}
Drug Discovery Pipeline
# 1. Find pathways for drug target
{"name": "find_pathways_by_gene", "arguments": {"gene": "EGFR"}}
# 2. Get protein interactions in pathway
{"name": "get_protein_interactions", "arguments": {"pathwayId": "R-HSA-177929"}}
# 3. Analyze pathway participants
{"name": "get_pathway_participants", "arguments": {"id": "R-HSA-177929"}}
๐ฌ Data Coverage
Reactome provides curated data for:
- 25,000+ reactions across all major biological processes
- 14,000+ proteins with detailed functional annotations
- 2,500+ pathways covering cellular and molecular processes
- 20+ species including human, mouse, rat, and model organisms
- Cross-references to UniProt, ChEMBL, Ensembl, and other databases
Key Biological Areas:
- Signal transduction pathways
- Metabolic processes and networks
- Gene regulation and expression
- Cell cycle and DNA repair
- Immune system responses
- Disease mechanisms and drug action
- Developmental biology processes
๐๏ธ Architecture
- TypeScript implementation with robust type safety
- Reactome Content Service API 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://reactome.org/ContentService - Version: Reactome v79 (latest)
- Rate Limits: Generous for research use
- Authentication: None required
- Format: REST API with JSON responses
๐ค Contributing
- Fork the repository
- Make your changes
- Submit a pull request
Citation
If you use this project in your research or publications, please cite it as follows:
author = {Moudather Chelbi},
title = {Reactome MCP Server},
year = {2025},
howpublished = {https://github.com/Augmented-Nature/Reactome-MCP-Server},
note = {Accessed: 2025-06-29}
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