variomeanalytics

variomeanalytics / bioinformatics-agent-skills

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MCP server for bioinformatics agent skills — query a knowledge graph of 78 bioinformatics workflows directly from Claude Code

29
3
100% credibility
Found Apr 20, 2026 at 29 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A hosted service offering AI coding agents access to a knowledge graph of 78 bioinformatics workflows, tools, and pipeline transitions for tasks like single-cell analysis and variant calling.

How It Works

1
🧬 Discover the biology guide

You stumble upon a smart library of proven steps for analyzing biology data, perfect for lab scientists using AI helpers.

2
🤖 Link your AI assistant

You give your AI coding buddy a quick instruction to connect to this vast collection of biology workflows.

3
🔄 Restart your AI session

You close and reopen your AI helper so it loads the new connection fresh.

4
✅ Confirm it's connected

You check a simple list and see your AI is now linked to the biology knowledge base.

5
❓ Start asking questions

You chat naturally with your AI, like 'What tools for single-cell analysis?' or 'Best path from raw data to results?'

6
📊 Get instant workflow insights

Your AI draws from 78 detailed biology pipelines, tools, and connections to give spot-on advice with evidence from real studies.

🎉 Build perfect experiments

Now you chain together reliable analysis steps for your lab work, saving time and avoiding mistakes.

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AI-Generated Review

What is bioinformatics-agent-skills?

This repo hosts an MCP server for bioinformatics agent skills, letting Claude Code (or any MCP client like mcp github copilot vscode or intellij) query a knowledge graph of 78 workflows covering single-cell analysis, variant calling, RNA-seq, and drug discovery. Add it via `claude mcp add` with a URL—no local install or data downloads—and restart your session to access tools like `get_skill`, `find_path`, or `search_skills` mid-conversation. It's a hosted service on AWS, exposing pipeline transitions, tool lists, and SKILL.md docs over HTTP MCP protocol.

Why is it gaining traction?

Unlike static docs or local graphs, this MCP server claude integrates seamlessly into your AI workflow, answering queries like "shortest path from WGS alignment to pathway enrichment" with data-type flows and paper-backed edges. Developers dig the zero-setup hook: point mcp github copilot at the live endpoint from mcp github docs or mcp server list, and get interactive results without scripting. With a public explorer at skillgraph.pipette.bio, it's easy to test mcp server examples before committing.

Who should use this?

Wet-lab biologists scripting pipelines in Claude Code, bioinformaticians chaining tools like Scanpy or GATK via agents, or teams building mcp github n8n automations around bioinformatics agent skills. Ideal for those prototyping RNA-seq or metagenomics flows who want graph-guided next steps, not manual PubMed dives.

Verdict

Add it to your mcp server python or typescript setup if bioinformatics is your domain—29 stars and 1.0% credibility score signal early days with just solid README docs, but the hosted reliability and live graph make it usable now. Skip if you're not in agent-driven bio workflows.

(178 words)

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