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BioOntology MCP Server

BioOntology MCP Server

Local
github.com/Augmented-NatureScience & Education10Updated 44w ago

About BioOntology MCP Server

An unofficial MCP server that connects to the BioOntology API for researchers and developers working with biological ontologies. It offers term and ontology search, text annotation, recommendations, class details, and analytics across BioPortal’s ontology collection.

Key features

  1. 01Search terms, properties, and ontologies
  2. 02Annotate single or multiple texts
  3. 03Recommend ontologies from text or keywords
  4. 04Retrieve ontology and class details
  5. 05Access usage and popularity analytics

Use cases

  1. 01Find ontology terms for biomedical research
  2. 02Annotate clinical or biological text
  3. 03Choose an ontology for a topic
  4. 04Review ontology usage and quality metrics

MCP support

Exposes BioOntology API search, annotation, navigation, and analytics through MCP tools, with resource templates for direct data access. MCP-compatible clients connect to the stdio server; a BioOntology API key is required.

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 BioOntology MCP Server

A production-ready Model Context Protocol (MCP) server that provides comprehensive access to the BioOntology API for searching, annotating, and exploring over 1,200 biological ontologies.

Features

Search & Discovery
  • search_terms - Search across ontology terms with advanced filtering options
  • search_properties - Search ontology properties by labels and IDs
  • search_ontologies - Find ontologies by name, description, or domain
  • get_ontology_info - Get detailed information about specific ontologies
Text Analysis
  • annotate_text - Analyze text and identify relevant ontology terms
  • recommend_ontologies - Get ontology recommendations for text or keywords
  • batch_annotate - Process multiple texts for annotation efficiently
Ontology Navigation
  • get_class_info - Get detailed information about ontology classes
Analytics & Metadata
  • get_ontology_metrics - Get usage statistics and quality metrics
  • get_analytics_data - Get visitor statistics and popularity trends

Installation

  1. Clone or download this server
  2. Install dependencies:
    npm install
    
  3. Build the server:
    npm run build
    

Configuration

You need a BioOntology API key to use this server. Get one from BioPortal:

  1. Create an account at https://bioportal.bioontology.org/
  2. Generate an API key from your account settings
  3. Set the environment variable:
    export BIOONTOLOGY_API_KEY=your_api_key_here
    

Usage

Running the Server
node build/index.js

The server runs on stdio and implements the MCP protocol for communication with MCP-compatible clients.

Resource Templates

The server provides several resource templates for direct data access:

  • bioontology://ontology/{acronym} - Complete ontology information
  • bioontology://class/{ontology}/{class_id} - Ontology class details
  • bioontology://search/{query} - Term search results
  • bioontology://annotations/{text} - Text annotation results
  • bioontology://recommendations/{input} - Ontology recommendations
  • bioontology://analytics/{ontology} - Analytics data
Example Tool Calls

Search for terms:

{
  "tool": "search_terms",
  "arguments": {
    "query": "diabetes",
    "ontologies": "NCIT,DOID",
    "require_definitions": true,
    "pagesize": 10
  }
}

Annotate text:

{
  "tool": "annotate_text",
  "arguments": {
    "text": "The patient has diabetes mellitus and hypertension",
    "ontologies": "NCIT,DOID,HP",
    "longest_only": true
  }
}

Get ontology recommendations:

{
  "tool": "recommend_ontologies",
  "arguments": {
    "input": "cancer treatment protocols",
    "input_type": 1,
    "output_type": 1
  }
}

Batch annotate multiple texts:

{
  "tool": "batch_annotate",
  "arguments": {
    "texts": ["diabetes mellitus", "cardiac arrest", "lung cancer"],
    "ontologies": "NCIT",
    "longest_only": true
  }
}

Supported Ontologies

The server works with all ontologies available in BioPortal (1,200+), including:

Medical/Clinical:

  • NCIT - NCI Thesaurus (cancer terminology)
  • DOID - Disease Ontology
  • HP - Human Phenotype Ontology
  • MESH - Medical Subject Headings

Biological/Chemical:

  • GO - Gene Ontology
  • UBERON - Anatomy ontology
  • CHEBI - Chemical entities of biological interest

And 1,190+ more specialized ontologies

Integration with MCP Clients

This server is compatible with any MCP-enabled client. Popular options include:

  • Claude Desktop - Add to your MCP configuration
  • VSCode Extensions - Use with MCP-compatible extensions
  • Custom Applications - Integrate via the MCP protocol
MCP Configuration Example

Add to your MCP client configuration:

{
  "servers": {
    "bioontology": {
      "command": "node",
      "args": ["/path/to/bioontology-server/build/index.js"],
      "env": {
        "BIOONTOLOGY_API_KEY": "your_api_key_here"
      }
    }
  }
}

Advanced Features

Input Validation
  • Comprehensive parameter validation with proper error messages
  • Type checking for all inputs
  • Range validation for numeric parameters
  • Enum validation for restricted values
Error Handling
  • Graceful handling of API errors
  • Structured error responses
  • Network timeout management
  • Authentication error reporting
Performance
  • Efficient API request handling
  • Proper timeout management
  • Memory usage optimization
  • Concurrent request support

API Documentation

For detailed BioOntology API documentation, see: https://data.bioontology.org/documentation

Production Use

This server has been thoroughly tested and is ready for production use. It provides:

  • Reliable API integration with robust error handling
  • Comprehensive input validation for all tools
  • Full MCP protocol compliance for seamless integration
  • Support for 1,200+ ontologies across all biological domains
  • High performance with optimized response times

License

MIT License - see LICENSE file for details.

Citation

If you use this project in your research or publications, please cite it as follows:

@misc{yourproject2025,
  author       = {Moudather Chelbi},
  title        = {Augmented Nature BioOntology MCP Server},
  year         = {2025},
  howpublished = {https://github.com/Augmented-Nature/BioOntology-MCP-Server},
}

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