MCPmed Bioinformatics Web Services

SkillWeb & browsing

Model Context Protocol (MCP) server for bioinformatics web services like GEO, STRING, and UCSC Cell Browser.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the MCPmed Bioinformatics Web Services skill

What this skill tells your AI

The instructions your AI receives, as published by freedomintelligence/openclaw-medical-skills in skills/mcpmed-bioinformatics-server/SKILL.md and read by ahel’s review.

Adapts the Model Context Protocol (MCP) to bioinformatics web server backends. This creates a standardized, machine-actionable layer for LLMs to interact with external biological resources, matching the 2026 standard for agentic tools.

When to Use This Skill

  • "Query STRING database for protein-protein interactions via MCP"
  • "Fetch dataset metadata from GEO using MCPmed"
  • "Access UCSC Cell Browser data through MCP"

Core Capabilities

  1. GEO Integration: Search and retrieve Gene Expression Omnibus metadata autonomously.
  2. STRING DB Access: Query protein-protein interaction networks contextually.
  3. UCSC Cell Browser: Programmatic access to single-cell datasets.

Workflow

  1. Step 1: Start the MCPmed server to expose the bioinformatics backend tools.
  2. Step 2: Connect the LLM client using MCP to query the integrated databases.

Example Usage

User: "Query the STRING database for interactions with TP53."

Agent Action:

python3 -m mcpmed.cli query string --gene TP53
Advanced
Item type
skill
Key
mcpmed-bioinformatics-server
Source
github.com/freedomintelligence/openclaw-medical-skills