hlydecker/ucsc-genome-mcp
by Various
An MCP server to interact with the UCSC Genome Browser API
MCP
hlydecker/ucsc-genome-mcp
Added 1 June 2026
Overview
An MCP server that provides a programmatic interface to the UCSC Genome Browser API. It enables AI agents and tools to query genomic data through the Model Context Protocol, using Python to translate requests into API calls.
Best for
Best for
Developers building AI agents or tools that need to query genomic data from UCSC
Use cases
- Fetching genomic sequences and annotations for analysis
- Integrating UCSC genome data into AI-driven research workflows
- Automating retrieval of gene tracks and regulatory features
How to use
Install
pip install -e . Tools exposed
find_genomelist_public_hubslist_ucsc_genomeslist_genark_genomeslist_hub_genomeslist_fileslist_trackslist_chromosomeslist_schemaget_sequenceget_track_datasearch_genome
Tested with
Claude Desktop
Example client config
{\n "mcpServers": {\n "ucsc-genome-browser": {\n "command": "/Users/You/.local/bin/uv",\n "args": [\n "--directory",\n "/Users/Path/To/Repository/ucsc-genome-mcp",\n "run",\n "ucsc-genome-mcp.py"\n ],\n "env": {},\n "metadata": {\n "description": "UCSC Genome Browser API",\n "version": "1.0.0"\n }\n }\n }\n} Notes
An MCP server that provides a programmatic interface to the UCSC Genome Browser API. It enables AI agents and tools to query genomic data through the Model Context Protocol, using Python to translate requests into API calls.
5 stars on GitHub. Last updated 2025-11-13. Licensed MIT.
Use cases
- Fetching genomic sequences and annotations for analysis
- Integrating UCSC genome data into AI-driven research workflows
- Automating retrieval of gene tracks and regulatory features
Pros
- Simplifies access to UCSC Genome Browser data via the MCP standard
- Written in Python, easy to extend or embed in existing projects
- Open source with a permissive license for customization
Cons
- Very early stage with only 5 GitHub stars, limited community validation
- Documentation and error handling may be sparse
- Depends on UCSC API availability and rate limits
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simplifies access to UCSC Genome Browser data via the MCP standard
- Written in Python, easy to extend or embed in existing projects
- Open source with a permissive license for customization
Cons
- Very early stage with only 5 GitHub stars, limited community validation
- Documentation and error handling may be sparse
- Depends on UCSC API availability and rate limits
Pairs with
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