MCP-Server
can-immune
io.github.sanjaysgk/can-immune
Was dieses MCP kann
Queries the CAN-IMMUNE cancer neoantigen database for genes, mutations, cell lines, peptides, cancer types, tissues, and cached MHC-I binding predictions.
Funktionen
Tools
12
Tools
database_overview
Get 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.
Eingabeschema
{'type': 'object', 'title': 'database_overviewArguments', 'properties': {}}
fetch
Fetch 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.
Eingabeschema
{'type': 'object', 'title': 'fetchArguments', 'required': ['id'], 'properties': {'id': {'type': 'string', 'title': 'Id', 'description': "An id from a `search` result, formatted 'gene:<SYMBOL>' or 'cell_line:<NAME>', e.g. 'gene:TP53' or 'cell_line:MDA-MB-231'."}}}
get_cell_line
Get 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 on
one line. Returns an error field if the name is not found.
Eingabeschema
{'type': 'object', 'title': 'get_cell_lineArguments', 'required': ['name'], 'properties': {'name': {'type': 'string', 'title': 'Name', 'description': "Exact cell-line name, e.g. 'MDA-MB-231', 'A549'. Use search_cell_lines first if unsure of the exact name."}}}
get_gene
Get 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
detailed questions about a single gene. Returns an error field if the symbol is
not found.
Eingabeschema
{'type': 'object', 'title': 'get_geneArguments', 'required': ['symbol'], 'properties': {'symbol': {'type': 'string', 'title': 'Symbol', 'description': "Exact HGNC gene symbol, e.g. 'TP53', 'KRAS', 'EGFR'. Use search_genes first if unsure of the exact symbol."}}}
get_gene_mutations
List 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
heavily-mutated gene, link the user to the gene page on the website.
Eingabeschema
{'type': 'object', 'title': 'get_gene_mutationsArguments', 'required': ['gene'], 'properties': {'gene': {'type': 'string', 'title': 'Gene', 'description': "Exact gene symbol whose mutations you want, e.g. 'TP53'."}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 50, 'description': 'Max mutation rows to return (1-100). Default 50. This is a bounded sample, not the full list.'}}}
get_mhc_binding
Look 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
prediction, use the interactive button on the mutation page of the website.
Eingabeschema
{'type': 'object', 'title': 'get_mhc_bindingArguments', 'required': ['peptide', 'allele'], 'properties': {'allele': {'type': 'string', 'title': 'Allele', 'description': "HLA class-I allele in NetMHCpan format, e.g. 'HLA-A*02:11', 'HLA-B*07:02'."}, 'peptide': {'type': 'string', 'title': 'Peptide', 'description': "The peptide sequence, e.g. 'FLDGNQIVT' (single-letter amino acids)."}}}
list_cancer_types
List 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.
Eingabeschema
{'type': 'object', 'title': 'list_cancer_typesArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50, 'description': 'Max cancer types to return (1-100). Default 50.'}}}
list_tissues
List 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`.
Eingabeschema
{'type': 'object', 'title': 'list_tissuesArguments', 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 50, 'description': 'Max tissues to return (1-100). Default 50.'}}}
search
Search 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 `search_genes`
/ `search_cell_lines` tools.
Eingabeschema
{'type': 'object', 'title': 'searchArguments', 'required': ['query'], 'properties': {'query': {'type': 'string', 'title': 'Query', 'description': "Free-text query matching a gene symbol/name or a cell-line name, e.g. 'BRAF' or 'MDA-MB-231'."}}}
search_cell_lines
Find 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 mutation count (most mutated first).
Eingabeschema
{'type': 'object', 'title': 'search_cell_linesArguments', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 20, 'description': 'Max rows to return (1-100). Default 20.'}, 'query': {'type': 'string', 'title': 'Query', 'description': "Cell-line name or fragment, e.g. 'MDA-MB-231', 'HeLa', 'A549'. Case-insensitive, partial matches allowed; hyphen/spacing variants are normalized."}}}
search_genes
Find 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
mutation count (most mutated first).
Eingabeschema
{'type': 'object', 'title': 'search_genesArguments', 'required': ['query'], 'properties': {'limit': {'type': 'integer', 'title': 'Limit', 'default': 20, 'description': 'Max rows to return (1-100). Default 20.'}, 'query': {'type': 'string', 'title': 'Query', 'description': "Gene symbol or part of a gene name, e.g. 'TP53', 'BRAF', or 'kinase'. Case-insensitive, partial matches allowed."}}}
top_genes_in_cell_line
Rank 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.
Eingabeschema
{'type': 'object', 'title': 'top_genes_in_cell_lineArguments', 'required': ['name'], 'properties': {'name': {'type': 'string', 'title': 'Name', 'description': "Exact cell-line name, e.g. 'MDA-MB-231'."}, 'limit': {'type': 'integer', 'title': 'Limit', 'default': 15, 'description': 'How many top genes to return (1-100). Default 15.'}}}
Verlauf
Letzte Tool-Änderungen
Hinzugefügt
fetch
17. September 2026 12:52
Hinzugefügt
search
17. September 2026 12:52
Hinzugefügt
get_mhc_binding
17. September 2026 12:52
Hinzugefügt
get_gene_mutations
17. September 2026 12:52
Hinzugefügt
list_tissues
17. September 2026 12:52
Hinzugefügt
list_cancer_types
17. September 2026 12:52
Hinzugefügt
top_genes_in_cell_line
17. September 2026 12:52
Hinzugefügt
get_cell_line
17. September 2026 12:52
Hinzugefügt
search_cell_lines
17. September 2026 12:52
Hinzugefügt
get_gene
17. September 2026 12:52
Hinzugefügt
search_genes
17. September 2026 12:52
Hinzugefügt
database_overview
17. September 2026 12:52
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