tfbs-mcp

sproft/tfbs-mcp

★ 0 stars Python AI/LLM Updated today

MCP server and Python library for transcription factor binding site analysis: 33 LLM-callable tools from peak download to genome-browser tracks.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "tfbs-mcp": {
      "command": "uvx",
      "args": [
        "tfbs-mcp"
      ]
    }
  }
}

Or install with pip: pip install tfbs-mcp

README Excerpt

A Python library and Model Context Protocol (MCP) server for transcription factor binding site analysis. The library packages neural network architectures, ChIP-seq data pipelines, attribution and motif analysis, and structure-based binding-energy scoring. The MCP server exposes 33 of these operations as tools that a large language model client can call directly, so an LLM can compose a full TFBS analysis from a natural-language goal.

Tools (15)

TFBSTFBS_CLINVAR_VCFTFBS_FOLDX_PDBTFBS_GENOME_FASTATFBS_MOTIF_FILEdevequinetfoldxgenomicsmcpmcpServerstfbstfbs_load_modeltrackingviz

tfbs-mcp

Quick Install

README Excerpt

Tools (15)

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