cellosaurus-mcp-server
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., "@cellosaurus-mcp-serverget cell line CVCL_0030"
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.
cellosaurus-mcp-server
MCP server for the SIB Cellosaurus API — the reference knowledge resource on cell lines (~169,000 cell lines: cancer lines, hybridomas, iPSC/ESC, patient-derived, etc.), each keyed by a stable CVCL_ accession and cross-referenced to ~100 other databases (CCLE/DepMap, Cosmic, ATCC, ChEMBL, PubMed, NCBI Taxonomy, NCIt disease, …).
Upstream API: https://api.cellosaurus.org (OpenAPI: https://api.cellosaurus.org/openapi.json)
Upstream site / docs: https://www.cellosaurus.org
Auth: none
License: CC BY 4.0 (surfaced as verifiable
_meta.citationon everycellosaurus_executeresult)Response format: JSON by default (adapter sends
Accept: application/json);format=xml|txt|tsvreturned as{ text }Release at build time: v56.0 (~168,970 cell lines)
Endpoints (curated from the upstream OpenAPI)
Only three GET methods exist upstream; all are curated in src/spec/catalog.ts:
GET /cell-line/{ac}— fetch one record by CVCL accession (categorycell-line)GET /search/cell-line— Solr search (q=,start,rows,fields,sort) (categorysearch)GET /release-info— dataset version / counts (categoryrelease)
REST only. Cellosaurus also serves SPARQL/RDF (https://sparql.cellosaurus.org) — noted as a future option, not wired here.
Related MCP server: Ensembl MCP Server
Tools (Code Mode only)
cellosaurus_search— discover the 3 curated endpoints + usage notes from the catalogcellosaurus_execute— run sandboxed JavaScript against the API viaapi.get()(carries_meta.citation)cellosaurus_query_data— SQL over staged responsescellosaurus_get_schema— inspect staged-dataset schemas
Large, well-annotated records (e.g. HeLa CVCL_0030 ≈ 450 KB, Caco-2 CVCL_0025 ≈ 130 KB compact JSON — verified live) auto-stage past the 30 KB inline threshold into CellosaurusDataDO; child arrays (comment-list, xref-list, reference-list, sequence-variation-list, …) become SQLite tables. Trim payloads with fields= (or a small rows=) to keep responses inline.
Example (Code Mode)
// Resolve HeLa and list its cross-references (dr = xref-list)
const resp = await api.get('/cell-line/{ac}', { ac: 'CVCL_0030', fields: 'id,ac,ox,di,dr' });
const cl = resp.Cellosaurus['cell-line-list'][0];
return {
name: cl['name-list'].find(n => n.type === 'identifier')?.value,
accession: cl['accession-list'].find(a => a.type === 'primary')?.value,
xrefs: (cl['xref-list'] || []).map(x => `${x.database}:${x.accession}`),
};// Find human cell lines that have a Cosmic-CLP cross-reference
const resp = await api.get('/search/cell-line', {
q: 'ox:9606 AND dr:Cosmic-CLP', rows: 20, fields: 'id,ac,di',
});
return resp.Cellosaurus['cell-line-list'].map(c => c['accession-list'][0].value);This server cannot be installed
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