Genomics MCP server

Genomics MCP

<!-- mcp-name: io.github.rewire-bio/genomics-mcp -->

An MCP server for finding genomic datasets, retrieving bounded data at a locus, and looking up versioned, source-attributed reference evidence. It runs on your machine. Research use only; no clinical verdicts.

Status: 0.1.0, release prepared, not yet published. All 23 tools are implemented and tested. The first release will be a GitHub release and a GHCR container image. Current publication state: docs/registry-ledger.md.

What it does

• Discovery: EGA, ENA, ENCODE, GEO and NCBI Datasets studies, datasets, samples, phenotypes (as the archive supplies them) and files.
• Genomics: reads, coverage, pileup, variants, sequence, features and signal from indexed BAM/CRAM, VCF/BCF, FASTA, BED/GFF3/GTF and bigWig/bigBed files on local disk, HTTPS or S3. EGA regions come through EGA's htsget.
• Transfers: bounded, resumable, checksummed downloads to a local workspace. Files are returned as paths, never as bytes in MCP text.
• Composition: inspectlocus and comparesamples across several files.
• Reference: HGNC, Ensembl, ClinVar (germline, somatic clinical impact and oncogenicity kept separate), gnomAD, UniProt, Open Targets, and optional AlphaGenome Atlas precomputed predictions with your own key.

Intervals are 0-based half-open with an explicit assembly. Nothing is lifted over silently. CRAM needs a reference whose MD5 matches the header. Default limits: 1 Mb region, 10,000 records, 1 MiB response, 30 s deadline, 100 MiB transfer.

Install

Full options, platform notes and Windows (WSL2/container): docs/install.md.

Container (linux/amd64)

After the release is published:

docker run --rm -i \
  --mount type=bind,source="$HOME/genomics-data",target=/data,readonly \
  --mount type=volume,source=genomics-mcp-work,target=/work \
  ghcr.io/rewire-bio/genomics-mcp:0.1.0

Only /data is readable as local input; /work holds downloads and indexes (bounded to 10 GiB).

Python (macOS, Linux)

Needs Python 3.12, uv, a C compiler, and libcurl and zlib development files. pyBigWig is built from source because the published Linux wheel has no remote-file support.

git clone https://github.com/rewire-bio/genomics-mcp
cd genomics-mcp
uv sync --locked --no-dev
uv run genomics-mcp --check-config

Use

stdio (default)

{
  "mcpServers": {
    "genomics": {
      "command": "uv",
      "args": ["--directory", "/path/to/genomics-mcp", "run", "genomics-mcp"],
      "env": { "GENOMICS_MCP_ALLOWED_ROOTS": "/path/to/your/data" }
    }
  }
}

For the container, use "command": "docker" with the run arguments above.

Streamable HTTP

HTTP needs a bearer token of at least 32 characters and binds to 127.0.0.1 unless configured otherwise. There is no hosted service.

export GENOMICS_MCP_HTTP_TOKEN="$(python3 -c 'import secrets; print(secrets.token_urlsafe(32))')"
uv run genomics-mcp --transport http --port 8765
# endpoint: http://127.0.0.1:8765/mcp  header: Authorization: Bearer $GENOMICS_MCP_HTTP_TOKEN

Configuration

Copy config.example.toml and pass it with --config or GENOMICSMCPCONFIG. genomics-mcp --check-config prints a summary without secrets.

• Local files are readable only under paths.allowed_roots.
• Ambient cloud credentials (AWS_*, ~/.aws, instance metadata) are never used. For private S3 or MinIO, add a [storage.profiles.] entry that names the environment variables holding your keys.
• EGA controlled files need your own EGA account. GENOMICSMCPEGAPUBLICTEST_ACCOUNT=1 uses EGA's documented public test account.
• Values derived from files you have not marked public are sent to external APIs only when a call sets allowexternalannotation.

Tools

Shortened. The full README is on GitHub.