rewire-bio/genomics-mcp

Overview

Provides a unified Model Context Protocol (MCP) interface to genomic archives, reference databases, and indexed sequencing files. It is written in Python and exposes these data sources through a standardized API for developers.

Best for

Best for
Developers needing MCP-based access to genomic data in Python workflows

Use cases

• Query genomic archives for variant or sequence data
• Retrieve reference genome sequences programmatically
• Access indexed sequencing files through MCP

How to use

Tested with

Claude Code

Example client config

{\n  "mcpServers": {\n    "genomics": {\n      "command": "docker",\n      "args": [\n        "run", "--rm", "-i",\n        "--mount", "type=bind,source=/path/to/your/data,target=/data,readonly",\n        "--mount", "type=volume,source=genomics-mcp-work,target=/work",\n        "ghcr.io/rewire-bio/genomics-mcp:0.1.0"\n      ]\n    }\n  }\n}

Notes

Provides a unified Model Context Protocol (MCP) interface to genomic archives, reference databases, and indexed sequencing files. It is written in Python and exposes these data sources through a standardized API for developers.

3 stars on GitHub. Last updated 2026-10-02. Licensed MIT.

Use cases

• Query genomic archives for variant or sequence data
• Retrieve reference genome sequences programmatically
• Access indexed sequencing files through MCP

Pros

• Unified interface across multiple genomic data sources
• Python-based, easy to integrate into data pipelines
• Open source with permissive access

Cons

• Very low star count indicates limited adoption
• May lack mature documentation or community support
• Early-stage project with potential instability

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.