geo-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@geo-mcpsearch for GEO datasets related to breast cancer"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Gene Expression Omnibus (GEO) MCP
Status: Beta. The MCP stdio and HTTP servers are both functional and in day-to-day use. The public tool surface is stable for the 0.1.x line; internal APIs and config defaults may still evolve. Please open an issue if you hit a regression.
A Model Context Protocol (MCP) server for accessing GEO (Gene Expression Omnibus) data through NCBI E-Utils API. The tool will enable you to search for GEO datasets, series, samples, platforms, and profiles for your LLM. Tested with Claude Desktop, chatGPT has no out of the box support for this tool yet. Claude will automatically use the tools if it fits the context.
Quick Install (pip)
install from pip
pip install geo-mcpinstall from source
git clone https://github.com/MCPmed/GEOmcp
cd GEOmcp
pip install -e .Related MCP server: WormBase MCP Server
Configuration
Run init to create a config file
geo-mcp --initBy default this writes to $XDG_CONFIG_HOME/geomcp/config.json
(typically ~/.config/geomcp/config.json). If you already have a legacy
~/.geo-mcp/config.json from an older install, that location is still
honored and --init will update it in place so nothing gets orphaned.
The file contains:
{
"base_url": "https://eutils.ncbi.nlm.nih.gov/entrez/eutils",
"email": "your_email@example.com",
"api_key": "YOUR_API_KEY",
"download_dir": "~/.local/share/geomcp/downloads"
}emailis required by NCBI.api_keyis optional but recommended for higher rate limits (get one here).
You can also skip the config file entirely and pass values via env vars
(GEOMCP_EMAIL, GEOMCP_API_KEY, GEOMCP_BASE_URL, GEOMCP_DOWNLOAD_DIR)
or CLI flags (--email, --api-key, --download-dir, ...). Precedence,
highest wins: CLI flags → env vars → config.json → built-in defaults.
Running the Server
MCP stdio mode:
geo-mcpHTTP mode:
geo-mcp --http --port 8001
Claude Desktop Integration
Common Issue: spawn geo-mcp ENOENT
This error means Claude Desktop cannot find the geo-mcp command. This is usually a PATH issue.
Solution
Find the full path to the executable:
which geo-mcpExample output:
/Users/youruser/miniforge3/bin/geo-mcpUpdate your Claude config: Instead of just
"geo-bio-mcp", use the full path:{ "mcpServers": { "geo-mcp": { "command": "/Users/youruser/miniforge3/bin/geo-mcp", "env": { "CONFIG_PATH": "/Users/youruser/.geo-mcp/config.json" } } } }(Optional) Use a Conda Environment:
Activate your conda env and run
which geo-mcpto get the correct path.Use that path in your Claude config as above.
Restart Claude Desktop after updating the config.
Troubleshooting
If you see
command not found: geo-mcp, make sure you installed into the Python environment whosebindirectory is on yourPATH, or invoke the server with its full path.If the config file is missing,
geo-mcp --initwill create one. You can also run without a config by settingGEOMCP_EMAILin the environment.
HTTP API
With the server running via geo-mcp --http (default port 8001), the
following endpoints are exposed:
GET /— server statusGET /health— health checkGET /tools— list all registered MCP toolsPOST /tools/call— execute a tool with argumentsGET /events— server-sent events stream of tool callsGET /docs— interactive Swagger UI
Examples
# List available tools
curl http://localhost:8001/tools
# Search GEO Series
curl -X POST http://localhost:8001/tools/call \
-H "Content-Type: application/json" \
-d '{
"name": "search_geo_series",
"arguments": {"term": "breast cancer", "retmax": 5}
}'Available Tools
This MCP server provides access to all major GEO databases through the following tools:
Search Tools
search_geo- Universal GEO search across GSE/GSM/GPL/GDS records, with results bucketed by accession type. Passrecord_typesto filter.Example searches: "breast cancer", "GSE12345", "RNA-seq time course"
search_geo_profiles- Search gene expression profiles across different biological contextsExample searches: "cancer", "breast cancer", "p53", "apoptosis"
search_geo_datasets- Search curated gene expression datasetsExample searches: "diabetes", "Alzheimer's disease", "drug response", "tissue specific"
search_geo_series- Search original submitter-supplied gene expression seriesExample searches: "GSE12345", "microarray", "RNA-seq", "time course"
search_geo_samples- Search individual gene expression samplesExample searches: "GSM123456", "human", "mouse", "tumor", "normal"
search_geo_platforms- Search microarray platform definitionsExample searches: "Affymetrix", "Illumina", "Agilent", "GPL96"
Search Parameters
Each tool accepts:
term(required): Search term or query stringretmax(optional, default: 20): Maximum number of results to return
Example usage
For now just chat with claude desktop and it will use the tools automatically if it fits the context.
User: find a small brain dataset
Assistant: I'll help you find a small brain dataset from the GEO database. Let me search for brain-related datasets with a maximum of one result.
Assistant (system): search_geo_datasets
Assistant: I found a brain-related dataset for you:
Dataset: GSE290848
Title: Maternal Stress Triggers Early-Life Eczema via Fetal Mast Cell Reprogramming [10x Genomics Multiome ATAC + Gene Expression]
Species: Mouse (Mus musculus)
Samples: 8
Data type: ATAC-seq & gene expression (10x Genomics Multiome)
Publication date: 21 Jun 2025
This small dataset explores how prenatal stress affects neuro-immune circuits and mast-cell development.
Would you like me to download this dataset or search for others?
User: download GSE290848
Assistant: I'll download the GSE290848 dataset for you.
Assistant (system): download_geo_data
Assistant: Download complete.
Downloaded files
GSE290848_family.soft.gz— series, platform & sample infoGSE290848_metadata.xml— detailed study metadata
Location: ~/.local/share/geomcp/downloads/gse/GSE290848
Total size: 0.01 MB
The dataset is ready for analysis. Let me know if you’d like to explore it further.
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