ncbi-datasets-mcp
An MCP server that gives Claude access to NCBI Datasets v2 — search genome assembly metadata, retrieve taxonomy records, and download data packages without leaving your conversation.
README
ncbi-datasets-mcp
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 — 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) |
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 |
Installation
Option 1 — Desktop Extension (recommended for Claude Desktop users)
- Download
ncbi-datasets.mcpbfrom the Releases page. - Double-click the file and click Install in Claude Desktop.
- 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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.