About Geneontology Mcp Server
Geneontology Mcp Server is an unofficial MCP server for querying Gene Ontology data, intended for AI systems and researchers working with gene function and ontology analysis. It offers term lookup, hierarchy exploration, gene annotations, identifier validation, and ontology statistics.
Key features
- 01Search terms by keyword or definition
- 02Retrieve details for a GO term
- 03Explore ontology hierarchies
- 04Access gene and protein annotations
- 05Validate GO identifiers and view statistics
Use cases
- 01Find terms related to a biological process
- 02Inspect a GO term and its parent-child relationships
- 03Check gene annotations during functional analysis
MCP support
Exposes Gene Ontology searches, term details, identifier validation, and ontology statistics as tools, with resource templates for terms, annotations, search results, and hierarchies.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project README
Unofficial Gene Ontology MCP Server
A comprehensive Model Context Protocol server for accessing Gene Ontology (GO) data, enabling AI systems to perform ontology-based analysis, gene annotation research, and functional enrichment studies.
Features
- Term Search & Lookup: Search GO terms by keyword, name, or definition
- Ontology Navigation: Explore hierarchical relationships between terms
- Gene Annotations: Access GO annotations for genes and proteins
- Validation: Validate GO identifiers and check term existence
- Statistics: Get comprehensive ontology statistics and metadata
Installation
npm install
npm run build
Usage
As an MCP Server
Add to your MCP client configuration:
{
"mcpServers": {
"go-server": {
"command": "node",
"args": ["/path/to/go-server/build/index.js"]
}
}
}
Available Tools
search_go_terms
Search across Gene Ontology terms by keyword, name, or definition.
{
"query": "apoptosis",
"ontology": "biological_process",
"size": 10
}
get_go_term
Get detailed information for a specific GO term.
{
"id": "GO:0006915"
}
validate_go_id
Validate GO identifier format and check if term exists.
{
"id": "GO:0008150"
}
get_ontology_stats
Get statistics about GO ontologies (term counts, recent updates).
{
"ontology": "all"
}
Resource Templates
go://term/{id}- Complete GO term informationgo://annotations/{gene}- Gene annotationsgo://search/{query}- Search resultsgo://hierarchy/{id}- Term hierarchy relationships
Examples
Search for apoptosis-related terms
# Using the search_go_terms tool
{
"query": "apoptosis",
"ontology": "biological_process",
"size": 5,
"include_obsolete": false
}
Get detailed information about a GO term
# Using the get_go_term tool
{
"id": "GO:0006915"
}
Validate a GO identifier
# Using the validate_go_id tool
{
"id": "GO:0008150"
}
Data Sources
This server integrates with:
- QuickGO API (https://www.ebi.ac.uk/QuickGO/) - Primary data source
- GO Consortium (https://geneontology.org/) - Official Gene Ontology
- AmiGO (http://amigo.geneontology.org/) - Additional browsing interface
Error Handling
The server includes comprehensive error handling for:
- Invalid GO identifiers
- Missing terms
- API timeouts
- Network errors
- Malformed requests
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
Citation
If you use this project in your research or publications, please cite it as follows:
author = {Moudather Chelbi},
title = {GeneOntology MCP Server},
year = {2025},
howpublished = {https://github.com/Augmented-Nature/GeneOntology-MCP-Server},
note = {Accessed: 2025-06-29}
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.