io.github.sanjaysgk/can-immune

Query CAN-IMMUNE: cancer neoantigen mutations, peptides, cell lines, MHC-I binding. Read-only.

Endpointhttps://canelib.erc.monash.edu/mcp (streamable-http)
Registry version1.0.0
Now12 tools · grade A (94) · pin ts_2c2826379e05d12272a1cc3c5e8ec07e · protocol 2025-06-18
First / last listed2026-11-01 03:10 UTC / 2026-11-01 03:10 UTC
Grade over time2026-11-01: A (94), 12 tools

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Timeline

First listing · 2026-11-01 03:10 UTC
12 tools, grade A (94)

Tools: database_overview search_genes get_gene search_cell_lines get_cell_line top_genes_in_cell_line list_cancer_types list_tissues get_gene_mutations get_mhc_binding search fetch

Current tools (12)

database_overviewGet the headline size of the CAN-IMMUNE database in one call. Returns total counts of mutations, genes, and unique mutant peptides, plus how many cell lines, tissues, and cancer types are covered, and the data sources (COSMIC, DepMap/CCLE, PubMed). Use this first to size the resource or to answer "how big is the database / how many X are there" questions. No parameters.
params: none
search_genesFind genes by symbol or full name, ranked by how mutated they are. Matches the gene symbol OR the full gene name (partial, case-insensitive) and returns each hit with its total mutation count, unique mutant-peptide count, sample count, and UniProt accession. Use it to locate a gene before calling `get_gene`, or to rank a set of genes by mutation burden. Results are ordered by
params: query*, limit
get_geneGet the full profile for one gene by exact symbol. Returns total mutations and how they split between cell lines vs tissues, unique mutant peptides, sample and transcript counts, UniProt accession / name / reviewed status, the top ~15 recurrent mutations in that gene, and a link to the gene page. Use this after `search_genes` (or when you already know the symbol) to answer det
params: symbol*
search_cell_linesFind cancer cell lines by name, ranked by mutation burden. Returns each matching cell line with its tissue of origin, cancer type, total mutations, unique mutant peptides, data sources (COSMIC / DepMap-CCLE / PubMed), and Cellosaurus ID. Covers only cell-line models (kept separate from primary tissue samples). Use before `get_cell_line` or `top_genes_in_cell_line`. Ordered by
params: query*, limit
get_cell_lineGet the full profile for one cancer cell line by exact name. Returns tissue of origin, cancer type, total mutations, unique mutant peptides and genes, data sources, Cellosaurus and DepMap model IDs, gender, category / cell type, and the top ~15 most-mutated genes in that line, plus a link to its page. Use after `search_cell_lines`, or when the exact name is known, for a deep dive
params: name*
top_genes_in_cell_lineRank the most-mutated genes within one specific cell line. Answers "what is the top mutated gene in <cell line>" / "which genes are most altered in <cell line>". Returns genes with their mutation counts for that line, highest first, from precomputed per-cell-line stats (fast). For the whole profile of the line use `get_cell_line` instead.
params: name*, limit
list_cancer_typesList cancer types (histology) ranked by mutation burden. Returns each cancer type / histology with its total mutations, unique samples, and unique genes, most-mutated first. Use to see which cancer types dominate the database or to pick one for further drill-down on the website.
params: limit
list_tissuesList primary tissues ranked by mutation burden. Returns each tissue (COSMIC primary-tissue samples only, kept separate from cell lines) with its total mutations, unique samples, and unique genes, most-mutated first. Use for tissue-level questions; for cell lines use `search_cell_lines`.
params: limit
get_gene_mutationsList individual mutations in a gene (a bounded sample of rows). Each row gives the CAN-IMMUNE mutation ID (CANLIB...), the amino-acid change, the CDS change, mutation type (missense / complex substitution), data source, the sample it came from, its primary site, and the mutant peptide. Ordered by mutation ID. Capped at `limit` rows (max 100) for speed - for the complete table of a
params: gene*, limit
get_mhc_bindingLook up a CACHED MHC-I binding prediction for a peptide + HLA allele. Returns the NetMHCpan result (best binding core, %Rank_EL, binder level SB/WB/NB, and neoepitope %Rank_Neo when computed) for predictions already stored in the cache. This tool does NOT run new predictions - it only reads cached ones; if nothing is cached it returns cached=false with a note. To generate a new
params: peptide*, allele*
searchSearch CAN-IMMUNE for genes and cell lines (ChatGPT connector interface). Returns {results: [{id, title, url}]} combining matching genes and cell lines, each with a stable `id` (like 'gene:TP53' or 'cell_line:MDA-MB-231'). Pass that `id` to `fetch` to retrieve the full record. This is the generic search endpoint ChatGPT expects; MCP-native clients can also use the more specific `s
params: query*
fetchFetch the full record for an id returned by `search` (ChatGPT connector interface). Takes an id like 'gene:TP53' or 'cell_line:MDA-MB-231' and returns {id, title, text, url, metadata} where `text` is the full JSON profile (same data as get_gene / get_cell_line). Always call `search` first to obtain a valid id.
params: id*

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