bioportal-mcp
Click on "Deploy 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., "@bioportal-mcp Search for melanoma terms in BioPortal."
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.
bioportal-mcp
A Model Context Protocol (MCP) server for interacting with the BioPortal API to search and retrieve ontology terms.
Features
Search ontology terms: Search across BioPortal's extensive collection of biomedical ontologies
Search ontology properties: Find object properties, annotation properties, and datatype properties
Get ontology analytics: Access visitor statistics and usage analytics for ontologies
Flexible filtering: Filter by specific ontologies (e.g., NCIT, GO, HP, MONDO)
Exact matching: Option to require exact matches or allow fuzzy matching
Rich results: Returns term IDs, preferred labels, ontology information, and ontology page URLs
Related MCP server: BioOntology MCP Server
Installation
You can install the package from source:
pip install -e .Or using uv:
uv pip install -e .Setup
Before using this MCP server, you need to obtain a BioPortal API key:
Visit BioPortal
Create an account or sign in
Go to your account settings to get your API key
Set the API key as an environment variable:
export BIOPORTAL_API_KEY="your_api_key_here"Usage
As an MCP Server
Run the MCP server:
bioportal-mcpAvailable Tools
search_ontology_terms
Search for ontology terms in BioPortal.
Parameters:
query(str): The search term (e.g., "melanoma", "breast cancer", "neuron")ontologies(str, optional): Comma-separated list of ontology acronyms (e.g., "NCIT,GO,HP")max_results(int, default=10): Maximum number of results to returnrequire_exact_match(bool, default=False): Whether to require exact matchesapi_key(str, optional): BioPortal API key (uses environment variable if not provided)
Returns: List of tuples containing:
Term ID (e.g., "http://purl.obolibrary.org/obo/NCIT_C4872")
Preferred label (e.g., "Breast Cancer")
Ontology acronym (e.g., "NCIT")
Ontology URL (e.g., "https://bioportal.bioontology.org/ontologies/NCIT")
Examples:
# Search for cancer terms
results = search_ontology_terms("cancer")
# Search for cell types in Cell Ontology
results = search_ontology_terms("neuron", ontologies="CL")
# Search for exact matches only
results = search_ontology_terms("melanoma", require_exact_match=True)
# Limit results
results = search_ontology_terms("disease", max_results=5)search_ontology_properties
Search for ontology properties (object properties, annotation properties, datatype properties) by their labels and IDs.
Parameters:
query(str): The search term (e.g., "has part", "related to", "has dimension")ontologies(str, optional): Comma-separated list of ontology acronyms (e.g., "NCIT,GO,HP")max_results(int, default=10): Maximum number of results to returnrequire_exact_match(bool, default=False): Whether to require exact matches by property id, label, or generated labelrequire_definitions(bool, default=False): If True, only return properties that have definitionsproperty_types(str, optional): Comma-separated list of property types to filter by: "object", "annotation", "datatype"api_key(str, optional): BioPortal API key (uses environment variable if not provided)
Returns: List of tuples containing:
Property ID (e.g., "http://www.w3.org/2000/01/rdf-schema#label")
Property label (e.g., "label")
Ontology acronym (e.g., "NCIT")
Ontology URL (e.g., "https://bioportal.bioontology.org/ontologies/NCIT")
Examples:
# Search for properties containing "part"
results = search_ontology_properties("part")
# Search for object properties only
results = search_ontology_properties("related", property_types="object")
# Search for properties with definitions in specific ontologies
results = search_ontology_properties("has", ontologies="GO,CHEBI", require_definitions=True)get_ontology_analytics
Get visitor analytics for BioPortal ontologies using Google Analytics data.
Parameters:
ontology_acronym(str, optional): Ontology acronym to get analytics for (e.g., "NCIT", "GO"). If None, returns analytics for all ontologiesmonth(int, optional): Month number (1-12) to filter analytics. Only valid when ontology_acronym is Noneyear(int, optional): Year to filter analytics (e.g., 2024). Only valid when ontology_acronym is Noneapi_key(str, optional): BioPortal API key (uses environment variable if not provided)
Returns: Dictionary containing visitor statistics:
For all ontologies: dict with ontology acronyms as keys and visit counts
For single ontology: detailed analytics with monthly/yearly breakdowns
Examples:
# Get analytics for all ontologies
analytics = get_ontology_analytics()
# Get analytics for a specific ontology
analytics = get_ontology_analytics(ontology_acronym="NCIT")
# Get analytics for all ontologies in April 2024
analytics = get_ontology_analytics(month=4, year=2024)
# Get analytics for all ontologies in 2024
analytics = get_ontology_analytics(year=2024)Integration with AI Assistants
This MCP server can be integrated with AI assistants like Claude Desktop. Add the following to your MCP configuration:
{
"mcpServers": {
"bioportal": {
"command": "bioportal-mcp",
"env": {
"BIOPORTAL_API_KEY": "your_api_key_here"
}
}
}
}A streamable version of this MCP is also available from the following URL:
https://bioportal.fastmcp.app/mcpThis means it may be used through any agentic framework supporting HTTP streaming of MCPs.
API Endpoints Supported
This MCP server provides access to the following BioPortal API endpoints:
Search (
/search): Search for ontology terms/classes across all ontologiesProperty Search (
/property_search): Search for ontology properties (object, annotation, datatype)Analytics (
/analytics): Retrieve visitor statistics and usage analytics for ontologies
Supported Ontologies
BioPortal hosts hundreds of ontologies. Some popular ones include:
NCIT: NCI Thesaurus - comprehensive cancer terminology
GO: Gene Ontology - gene and protein functions
HP: Human Phenotype Ontology - phenotypes and clinical features
MONDO: Disease ontology
CHEBI: Chemical entities
UBERON: Anatomy ontology
CL: Cell Ontology
SO: Sequence Ontology
Development
Local Setup
# Clone the repository
git clone https://github.com/ncbo/bioportal-mcp.git
cd bioportal-mcp
# Install development dependencies
uv pip install -e ".[dev]"License
BSD-3-Clause
Available Tools
3 toolsget_ontology_analyticsA
Get visitor analytics for BioPortal ontologies.
This function retrieves Google Analytics data for ontology visits. You can get analytics for all ontologies, filter by month/year, or get detailed analytics for a specific ontology.
Inputs: year, month, api_key, ontology_acronym. Returns: object
search_ontology_propertiesA
Search for ontology properties in BioPortal.
This function searches for ontology properties (object properties, annotation properties, datatype properties) by their labels and IDs across BioPortal ontologies.
Inputs: query (required), api_key, ontologies, max_results, +3 more. Returns: result
search_ontology_termsB
Search for ontology terms in BioPortal.
This function searches across BioPortal ontologies for terms matching the given query. It returns a list of tuples containing the term ID, preferred label, ontology, and ontology URL.
Inputs: query (required), api_key, ontologies, max_results, +1 more. Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
Each tool targets a different aspect of BioPortal: analytics for usage data, properties search for ontology properties, and term search for ontology terms. There is no overlap in functionality.
All tool names follow a consistent verb_noun (snake_case) pattern: get_ontology_analytics, search_ontology_properties, search_ontology_terms.
Three tools is on the lower end but reasonable for a focused search and analytics server. The number is appropriate given the scope, though additional tools could be justified.
The server lacks essential operations for ontology management: no tool to list or retrieve ontologies, no term details beyond search, no mappings or annotations. This leaves significant gaps for typical BioPortal use cases.
Maintenance
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