c3fst MCP Server
MCP server for c3fst biomedical search engine.
Datasets
| Source | Description | Records |
|---|---|---|
products |
FDA Orange Book — drug products, ingredients, manufacturers | 48,502 |
mesh |
MeSH medical subject headings — diseases, procedures, anatomy | 1,011,763 |
variants |
ClinVar genomic variants — genes, clinical significance, phenotypes | 9,029,235 |
Tools
search(source, query)— BM25-ranked full-text search across any datasetsources()— List available datasets with record counts
Remote Endpoint
This server runs remotely via SSE transport:
https://home.flamingyak.com/sse
To connect from an MCP client (Claude Desktop, Cursor, etc.), add to your MCP config:
{
"mcpServers": {
"c3fst": {
"url": "https://home.flamingyak.com/sse"
}
}
}
Local Usage
For local development, run the server directly:
pip install mcp
python server.py
Set environment variables as needed:
C3FST_BIN— path to c3fst binaryC3FST_DB— path to RocksDB databaseC3MCP_TRANSPORT—stdio(default),sse, orhttpC3MCP_PORT— port for SSE/HTTP transport (default: 3000)C3MCP_MAX_RESULTS— max results per search (default: 20)
License
MIT
1 maintainer
Release files for c3fst-mcp-server 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| c3fst_mcp_server-1.0.0.tar.gz | 4.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| c3fst_mcp_server-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.4 kB
Release files / c3fst_mcp_server-1.0.0.tar.gz
| Download URL | c3fst_mcp_server-1.0.0.tar.gz |
|---|---|
| Size | 4.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Release files / c3fst_mcp_server-1.0.0-py3-none-any.whl
| Download URL | c3fst_mcp_server-1.0.0-py3-none-any.whl |
|---|---|
| Size | 4.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
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