MCP server for bioinformatics agent skills — query a knowledge graph of 78 bioinformatics workflows directly from Claude Code
概览
By — Agentic bioinformatics for wet-lab biologists. Important: The Skill Graph front end server and this repo are maintained by Claude Opus 4.7 (somewhat autonomously). Query pipelines mid-conversation. No install. No data download. Just point your AI coding agent at a URL. 🔗 skillgraph.pipette.bio 🔗 pipette.bio MCP servers only load at startup. Fully exit and reopen your session. Claude will call the MCP tools automatically and use the results in its answer. - — scanpy, seurat, variant-calling, chipseq, atacseq, gwas-analysis, admet-prediction, molecular-docking, metagenome-binning, and more - — each annotated with the data types that flow between steps (BAM, VCF, H5AD, FASTQ, etc.
README
Bioinformatics Agent Skills
By Pipette.bio — Agentic bioinformatics for wet-lab biologists.
Important: The Skill Graph front end server and this repo are maintained by Claude Opus 4.7 (somewhat autonomously).
A hosted MCP server that gives Claude Code (and any MCP client) direct access to a knowledge graph of 78 bioinformatics workflows — single-cell, variant calling, RNA-seq, drug discovery, metagenomics, and more.
Query pipelines mid-conversation. No install. No data download. Just point your AI coding agent at a URL.
🔗 Live graph explorer: skillgraph.pipette.bio 🔗 Main site: pipette.bio
Quick start
1. Add the MCP server to Claude Code
claude mcp add --transport http --scope user skillgraph https://skillgraph.pipette.bio/mcp
Or edit ~/.claude.json manually:
{
"mcpServers": {
"skillgraph": {
"type": "http",
"url": "https://skillgraph.pipette.bio/mcp"
}
}
}
2. Restart Claude Code
MCP servers only load at startup. Fully exit and reopen your session.
3. Verify it’s connected
claude mcp list
You should see:
skillgraph: https://skillgraph.pipette.bio/mcp (HTTP) - ✓ Connected
4. Ask Claude anything
> What tools does the scanpy skill use?
> Find the shortest path from wgs-alignment to pathway-enrichment
> List all single-cell skills
> What comes after variant-calling in a typical pipeline?
> Search for CRISPR-related skills
Claude will call the MCP tools automatically and use the results in its answer.
What’s in the graph
- 78 bioinformatics skills — scanpy, seurat, variant-calling, chipseq, atacseq, gwas-analysis, admet-prediction, molecular-docking, metagenome-binning, and more
- 483 pipeline transitions — each annotated with the data types that flow between steps (BAM, VCF, H5AD, FASTQ, etc.), the number of supporting papers, and whether the edge was confirmed in a curated ground-truth graph
- ~300 tools across skills — Scanpy, Seurat, bwa, samtools, DESeq2, GATK, fastp, MultiQC, STAR, Salmon, Cell Ranger, AlphaFold, AutoDock, and many more
- Full SKILL.md documentation for each skill — triggers, required tools, input/output formats, workflow steps, critical rules, and output artifacts
Tools exposed by the MCP server
| Tool | What it does |
|---|---|
get_skill |
Returns full SKILL.md documentation for a skill, plus overview, tools, I/O, and connections |
list_skills |
Lists all available skills, optionally filtered by domain keyword |
search_skills |
Keyword search across skill IDs, trigger keywords, and tool names |
get_transitions |
Upstream and/or downstream skills with edge evidence (paper counts, data types) |
find_path |
Shortest pipeline path between two skills, annotated with data flow |
get_graph_stats |
Summary statistics: total skills, edges, domain breakdown |
Example prompts
Explore a specific skill:
What does the atacseq skill do? What tools does it need?
Build a multi-step workflow:
I have raw FASTQ files from a WGS experiment. What's the sequence of skills
I should run to get a list of pathway enrichments?
Understand the graph:
How many single-cell skills are in the graph? Give me a breakdown by domain.
Find related work:
Show me skills that produce VCF files as output. Which ones are most commonly
used downstream of variant-calling?
How it works
Claude Code
│ HTTPS POST
▼
skillgraph.pipette.bio/mcp
│ (CloudFront)
▼
API Gateway → AWS Lambda → in-memory graph + skill docs
Everything runs on our infrastructure. Your Claude Code client just speaks MCP over HTTPS. No install, no data download, no local dependencies.
About the data
The SkillGraph knowledge graph was built from open-access bioinformatics papers indexed in PubMed Central. Tool mentions were extracted with a fine-tuned PubMedBERT NER model, pipeline transitions were inferred from document-level tool ordering, and data-type compatibility was validated against the EDAM ontology. The full interactive graph explorer is at skillgraph.pipette.bio.
About us
Built by Variome Analytics / Pipette.bio. We build agentic bioinformatics for wet-lab biologists.
Issues and feedback
Found a bug? Want a new tool? Have a skill we should add to the graph? Open an issue.
License
MIT — see LICENSE.
推荐工具
换一个关键词,或者移除筛选条件。
安装
npx skillfish add variomeanalytics/bioinformatics-agent-skills