Ncbi Datasets

NOTE: This is not affiliated with NCBI or NCBI Datasets, this is a user provided tool.

An MCP server that gives Claude access to NCBI Datasets v2 — discover what data NCBI Datasets offers, search genome assembly metadata, retrieve taxonomy records, and download data packages without leaving your conversation.

Tools

Tool	Transport	Description
ensure_cli	—	Install the NCBI CLI tools (run once, or set NCBI_AUTO_INSTALL=true)
list_data_types	—	Describe what kinds of data NCBI Datasets provides; optional per-type detail
genome_summary_by_taxon	REST	Search genome assemblies by organism name or tax ID
genome_summary_by_accession	REST	Fetch assembly metadata for known accessions
genome_download_by_taxon	CLI	Download a genome package by taxon
genome_download_by_accession	CLI	Download a genome package by accession
rehydrate_genome_package	CLI	Fetch sequence files for a dehydrated package
dataformat_genome_tsv	CLI	Convert a genome JSONL data report to TSV
taxonomy_summary	REST	Get lineage, rank, and names for a taxon
taxonomy_download	CLI	Download a taxonomy package

Discovering available data

Not sure what NCBI Datasets offers? Ask "what kind of data can I get from datasets?" and the server's list_data_types tool returns a readable catalog of every data report type — genes, genome assemblies, genome sequences, taxonomy, viruses, and more — along with which tools retrieve each one. Pass a specific type (e.g. genome-assembly) for its full field list and schema documentation link.

Installation

Option 1 — Desktop Extension (recommended for Claude Desktop users)

1. Download ncbi-datasets.mcpb from the Releases page.
2. Double-click the file and click Install in Claude Desktop.
3. Optionally enter your NCBI API key and download directory.

The NCBI CLI tools are downloaded automatically on first use (NCBI_AUTO_INSTALL=true is set by default in the extension).

Option 2 — JSON config (Claude Desktop / Claude Code)

Add to claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "ncbi-datasets": {
      "command": "uvx",
      "args": ["ncbi-datasets-mcp"],
      "env": {
        "NCBI_API_KEY": "your_key_here",
        "NCBI_DOWNLOAD_DIR": "/path/to/downloads",
        "NCBI_AUTO_INSTALL": "true"
      }
    }
  }
}

Requires uv (curl -LsSf https://astral.sh/uv/install.sh | sh).

Configuration

Variable	Default	Description
NCBI_API_KEY	(none)	NCBI API key — raises rate limit to 10 req/s
NCBI_DOWNLOAD_DIR	~/Downloads/ncbi_datasets	Default download location
NCBI_AUTO_INSTALL	false	Auto-install CLI tools on startup
NCBI_MAX_RESULTS	20	Cap for summary tool result counts
NCBI_REQUEST_TIMEOUT	300	Seconds before a download times out
NCBI_CLI_PATH	(auto)	Override path to datasets binary
NCBI_DATAFORMAT_PATH	(auto)	Override path to dataformat binary

Development

# Install with dev extras
pip install -e ".[dev]"

# Run unit tests
pytest

# Run all tests including live network calls
pytest -m integration

# Regenerate enums from the current NCBI OpenAPI spec
python scripts/gen_enums.py

# Run the server locally (stdio transport)
ncbi-datasets-mcp

Architecture

src/ncbi_datasets_mcp/
  server.py           FastMCP app — tool registrations only
  config.py           Pydantic-settings env config
  cli/
    locator.py        Find datasets/dataformat (config → PATH → cache)
    installer.py      Download binaries from NCBI FTP
    runner.py         Async subprocess wrapper
  rest/
    client.py         httpx client for metadata/summary endpoints
  domains/
    _generated_enums.py  Vendored enums from OpenAPI spec
    common.py         Shared utilities (output dir, filename sanitising)
    genome.py         Genome CLI arg builders + response shaping
    taxonomy.py       Taxonomy CLI arg builders
  models/
    responses.py      Shared DownloadResult dataclass

Summary tools (no file I/O) → REST API.
Download and format-conversion tools → NCBI CLI binaries.

Cite

If you use NCBI Datasets in your research, please cite:

NCBI Datasets. National Center for Biotechnology Information. https://www.ncbi.nlm.nih.gov/datasets/

License

MIT