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Unofficial Reactome MCP Server 🧬

Unofficial Reactome MCP Server 🧬

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github.com/Augmented-NatureScience & Education12Updated 44w ago

About Unofficial Reactome MCP Server 🧬

Unofficial Reactome MCP Server provides MCP clients with pathway and systems-biology data from Reactome. It offers tools for exploring pathways, genes, diseases, reactions, participants, and protein interactions.

Key features

  1. 01Search pathways and biological entities
  2. 02Retrieve pathway details and hierarchy
  3. 03Find pathways by gene or disease
  4. 04List pathway participants and reactions
  5. 05Query protein interactions

Use cases

  1. 01Explore pathways related to a biological process
  2. 02Find pathways containing a gene such as BRCA1
  3. 03Investigate disease mechanisms and pathway reactions
  4. 04Review interactions in a target pathway

MCP support

The server exposes Reactome data through eight tools and resource templates for pathways, reactions, proteins, diseases, and search results.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Logo

Unofficial Reactome MCP Server 🧬

Model Context Protocol server for accessing Reactome pathway and systems biology data.

API

Developed by Augmented Nature - Advancing AI for Scientific Discovery

βœ… Verified Features

All 8 tools working with live Reactome API data:

  • πŸ” Pathway Search - Search biological pathways by name, process, keywords
  • πŸ“Š Pathway Details - Comprehensive pathway information and components
  • 🧬 Gene-to-Pathways - Find pathways containing specific genes/proteins
  • 🦠 Disease Pathways - Disease-associated biological mechanisms
  • 🌲 Pathway Hierarchy - Parent/child relationships and pathway structure
  • πŸ§ͺ Pathway Participants - All molecules participating in pathways
  • βš—οΈ Biochemical Reactions - Detailed reaction information
  • πŸ”— Protein Interactions - Molecular interactions within pathways

πŸš€ Quick Start

# Install and build
npm install
npm run build

# Run the server
node build/index.js

πŸ“‹ 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

πŸ› οΈ Available Tools

πŸ” 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
πŸ“Š get_pathway_details

Get comprehensive information about a specific pathway

{
  "name": "get_pathway_details",
  "arguments": {
    "id": "R-HSA-1640170" // Reactome pathway stable identifier
  }
}
🧬 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)
  }
}
🦠 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)
  }
}
🌲 get_pathway_hierarchy

Get hierarchical structure and parent/child relationships

{
  "name": "get_pathway_hierarchy",
  "arguments": {
    "id": "R-HSA-1640170" // Reactome pathway stable identifier
  }
}
πŸ§ͺ 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
  }
}
βš—οΈ get_pathway_reactions

Get all biochemical reactions within a pathway

{
  "name": "get_pathway_reactions",
  "arguments": {
    "id": "R-HSA-1640170" // Reactome pathway stable identifier
  }
}
πŸ”— 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
  }
}

πŸ“š Resource Templates

Access Reactome data through standardized URIs:

  • reactome://pathway/{id} - Complete pathway information
  • reactome://reaction/{id} - Detailed reaction information
  • reactome://protein/{id} - Protein details and associations
  • reactome://disease/{id} - Disease-associated pathways
  • reactome://search/{query} - Search results

πŸ§ͺ 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"}}

πŸ”¬ 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

πŸ—οΈ 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

πŸ“Š 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

🀝 Contributing

  1. Fork the repository
  2. Make your changes
  3. 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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