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biocontext7 launch bioinformatics MCP

Introducing biocontext7: Deep Skill Bundles for AI Bioinformatics Agents

Jeff Jaureguy ·

Today we’re publicly launching biocontext7 — 2,000+ deep skill bundles for AI bioinformatics agents, served via MCP.

The Problem

Bioinformatics has an agent-reliability problem. There are thousands of tools spread across Bioconductor, PyPI, CRAN, Galaxy, and GitHub. When you ask a coding assistant to help with a workflow, it often hallucinates package names, suggests deprecated APIs, or conflates tools with similar names. The prompts that make it work are hand-crafted, fragile, and they rot as upstream tools change.

What biocontext7 Does

biocontext7 compiles structured, hash-verified documentation bundles from live upstream sources and serves them to agents via MCP:

  • 2,000+ deep skill bundles across 13 domains (genomics, transcriptomics, single-cell, metagenomics, systems biology, clinical genomics, ML, imaging, workflows, population genetics, utilities, and more)
  • SHA-256 provenance — every bundle is hash-verified and traceable to a specific upstream version
  • Execution-certified docs — snippets are compiled from real sources, not generated
  • Native MCP integration — Claude Code, Cursor, VS Code, JetBrains, and any MCP-compatible client
  • No hand-crafted prompts, no hallucinated tool APIs — agents work from canonical documentation, not guesses
  • Open access — no login, no registration, no payment, no tracking

Install

Add biocontext7 to Claude Code in one command:

claude mcp add biocontext7 -- npx @biocontext7/mcp

For Cursor, VS Code, or JetBrains, follow the client setup guide.

How It Works

biocontext7 exposes MCP tools that agents call at reasoning time:

  • resolve-library-id — look up a tool by name or keyword, returns matched IDs and metadata
  • get-library-docs — fetch versioned documentation for a specific tool with topic filtering and token budget control
  • find-skills — discover skill bundles for a workflow by capability
  • search-and-get — one-shot lookup that returns compiled, executable guidance

Because the bundles are compiled from live upstream sources and verified with SHA-256, agents don’t hallucinate APIs — they work from documentation that was present in the tool’s actual release.

Why Deep Skill Bundles

A bundle is more than a README. Each skill is an executable contract: what it does, what inputs it expects, what outputs it produces, the exact command line or Python/R API, and citations back to the original tool. That structure is what lets an agent chain multiple tools reliably — a CRISPR guide design workflow, a variant annotation pipeline, a single-cell atlas embedding — without inventing steps.

Open Source, Open Access

biocontext7 is MIT-licensed and reproducible end-to-end.

What’s Next

The registry expands weekly. Recent additions include batch-backfilled provenance manifests across all 2,061 skills, JOSS-ready documentation, and refreshed OG/branding assets. We’re grinding on:

  • Expanding coverage in imaging and clinical genomics
  • Tighter integration with Cursor and JetBrains
  • Community skill submissions via PR

biocontext7 is a Hordago Labs project. We’re all in on AI for biology.