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sha256:d64ca8ced977ce47cc48a01fd58268204b33dd8abaa81bad3477d8f65bb8c34a
What it is
What a remote MCP server returned when asked what it offers: 12 tools

The blob, as servednamed by its sha256

{ "instructions": "CAN-IMMUNE is a cancer neoantigen database (COSMIC + DepMap/CCLE + PubMed) of mutations, mutant peptides, cell lines, tissues and predicted MHC binding. Use these tools to look up genes, cell lines, tissues/cancer types, a gene's mutations, and cached MHC-I binding predictions. All data is read-only.", "tools": [ { "description": "Get the headline size of the CAN-IMMUNE database in one call.\n\n Returns total counts of mutations, genes, and unique mutant peptides, plus how\n many cell lines, tissues, and cancer types are covered, and the data sources\n (COSMIC, DepMap/CCLE, PubMed). Use this first to size the resource or to answer\n \"how big is the database / how many X are there\" questions. No parameters.", "inputSchema": { "properties": {}, "title": "database_overviewArguments", "type": "object" }, "name": "database_overview", "outputSchema": null }, { "description": "Fetch the full record for an id returned by `search` (ChatGPT connector interface).\n\n Takes an id like 'gene:TP53' or 'cell_line:MDA-MB-231' and returns\n {id, title, text, url, metadata} where `text` is the full JSON profile (same data\n as get_gene / get_cell_line). Always call `search` first to obtain a valid id.", "inputSchema": { "properties": { "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'.", "title": "Id", "type": "string" } }, "required": [ "id" ], "title": "fetchArguments", "type": "object" }, "name": "fetch", "outputSchema": null }, { "description": "Get the full profile for one cancer cell line by exact name.\n\n Returns tissue of origin, cancer type, total mutations, unique mutant peptides and\n genes, data sources, Cellosaurus and DepMap model IDs, gender, category / cell\n type, and the top ~15 most-mutated genes in that line, plus a link to its page.\n Use after `search_cell_lines`, or when the exact name is known, for a deep dive on\n one line. Returns an error field if the name is not found.", "inputSchema": { "properties": { "name": { "description": "Exact cell-line name, e.g. 'MDA-MB-231', 'A549'. Use search_cell_lines first if unsure of the exact name.", "title": "Name", "type": "string" } }, "required": [ "name" ], "title": "get_cell_lineArguments", "type": "object" }, "name": "get_cell_line", "outputSchema": null }, { "description": "Get the full profile for one gene by exact symbol.\n\n Returns total mutations and how they split between cell lines vs tissues, unique\n mutant peptides, sample and transcript counts, UniProt accession / name / reviewed\n status, the top ~15 recurrent mutations in that gene, and a link to the gene page.\n Use this after `search_genes` (or when you already know the symbol) to answer\n detailed questions about a single gene. Returns an error field if the symbol is\n not found.", "inputSchema": { "properties": { "symbol": { "description": "Exact HGNC gene symbol, e.g. 'TP53', 'KRAS', 'EGFR'. Use search_genes first if unsure of the exact symbol.", "title": "Symbol", "type": "string" } }, "required": [ "symbol" ], "title": "get_geneArguments", "type": "object" }, "name": "get_gene", "outputSchema": null }, { "description": "List individual mutations in a gene (a bounded sample of rows).\n\n Each row gives the CAN-IMMUNE mutation ID (CANLIB...), the amino-acid change, the\n CDS change, mutation type (missense / complex substitution), data source, the\n sample it came from, its primary site, and the mutant peptide. Ordered by mutation\n ID. Capped at `limit` rows (max 100) for speed - for the complete table of a\n heavily-mutated gene, link the user to the gene page on the website.", "inputSchema": { "properties": { "gene": { "description": "Exact gene symbol whose mutations you want, e.g. 'TP53'.", "title": "Gene", "type": "string" }, "limit": { "default": 50, "description": "Max mutation rows to return (1-100). Default 50. This is a bounded sample, not the full list.", "title": "Limit", "type": "integer" } }, "required": [ "gene" ], "title": "get_gene_mutationsArguments", "type": "object" }, "name": "get_gene_mutations", "outputSchema": null }, { "description": "Look up a CACHED MHC-I binding prediction for a peptide + HLA allele.\n\n Returns the NetMHCpan result (best binding core, %Rank_EL, binder level\n SB/WB/NB, and neoepitope %Rank_Neo when computed) for predictions already stored\n in the cache. This tool does NOT run new predictions - it only reads cached ones;\n if nothing is cached it returns cached=false with a note. To generate a new\n prediction, use the interactive button on the mutation page of the website.", "inputSchema": { "properties": { "allele": { "description": "HLA class-I allele in NetMHCpan format, e.g. 'HLA-A*02:11', 'HLA-B*07:02'.", "title": "Allele", "type": "string" }, "peptide": { "description": "The peptide sequence, e.g. 'FLDGNQIVT' (single-letter amino acids).", "title": "Peptide", "type": "string" } }, "required": [ "peptide", "allele" ], "title": "get_mhc_bindingArguments", "type": "object" }, "name": "get_mhc_binding", "outputSchema": null }, { "description": "List cancer types (histology) ranked by mutation burden.\n\n Returns each cancer type / histology with its total mutations, unique samples, and\n unique genes, most-mutated first. Use to see which cancer types dominate the\n database or to pick one for further drill-down on the website.", "inputSchema": { "properties": { "limit": { "default": 50, "description": "Max cancer types to return (1-100). Default 50.", "title": "Limit", "type": "integer" } }, "title": "list_cancer_typesArguments", "type": "object" }, "name": "list_cancer_types", "outputSchema": null }, { "description": "List primary tissues ranked by mutation burden.\n\n Returns each tissue (COSMIC primary-tissue samples only, kept separate from cell\n lines) with its total mutations, unique samples, and unique genes, most-mutated\n first. Use for tissue-level questions; for cell lines use `search_cell_lines`.", "inputSchema": { "properties": { "limit": { "default": 50, "description": "Max tissues to return (1-100). Default 50.", "title": "Limit", "type": "integer" } }, "title": "list_tissuesArguments", "type": "object" }, "name": "list_tissues", "outputSchema": null }, { "description": "Search CAN-IMMUNE for genes and cell lines (ChatGPT connector interface).\n\n Returns {results: [{id, title, url}]} combining matching genes and cell lines,\n each with a stable `id` (like 'gene:TP53' or 'cell_line:MDA-MB-231'). Pass that\n `id` to `fetch` to retrieve the full record. This is the generic search endpoint\n ChatGPT expects; MCP-native clients can also use the more specific `search_genes`\n / `search_cell_lines` tools.", "inputSchema": { "properties": { "query": { "description": "Free-text query matching a gene symbol/name or a cell-line name, e.g. 'BRAF' or 'MDA-MB-231'.", "title": "Query", "type": "string" } }, "required": [ "query" ], "title": "searchArguments", "type": "object" }, "name": "search", "outputSchema": null }, { "description": "Find cancer cell lines by name, ranked by mutation burden.\n\n Returns each matching cell line with its tissue of origin, cancer type, total\n mutations, unique mutant peptides, data sources (COSMIC / DepMap-CCLE / PubMed),\n and Cellosaurus ID. Covers only cell-line models (kept separate from primary\n tissue samples). Use before `get_cell_line` or `top_genes_in_cell_line`. Ordered\n by mutation count (most mutated first).", "inputSchema": { "properties": { "limit": { "default": 20, "description": "Max rows to return (1-100). Default 20.", "title": "Limit", "type": "integer" }, "query": { "description": "Cell-line name or fragment, e.g. 'MDA-MB-231', 'HeLa', 'A549'. Case-insensitive, partial matches allowed; hyphen/spacing variants are normalized.", "title": "Query", "type": "string" } }, "required": [ "query" ], "title": "search_cell_linesArguments", "type": "object" }, "name": "search_cell_lines", "outputSchema": null }, { "description": "Find genes by symbol or full name, ranked by how mutated they are.\n\n Matches the gene symbol OR the full gene name (partial, case-insensitive) and\n returns each hit with its total mutation count, unique mutant-peptide count,\n sample count, and UniProt accession. Use it to locate a gene before calling\n `get_gene`, or to rank a set of genes by mutation burden. Results are ordered by\n mutation count (most mutated first).", "inputSchema": { "properties": { "limit": { "default": 20, "description": "Max rows to return (1-100). Default 20.", "title": "Limit", "type": "integer" }, "query": { "description": "Gene symbol or part of a gene name, e.g. 'TP53', 'BRAF', or 'kinase'. Case-insensitive, partial matches allowed.", "title": "Query", "type": "string" } }, "required": [ "query" ], "title": "search_genesArguments", "type": "object" }, "name": "search_genes", "outputSchema": null }, { "description": "Rank the most-mutated genes within one specific cell line.\n\n Answers \"what is the top mutated gene in <cell line>\" / \"which genes are most\n altered in <cell line>\". Returns genes with their mutation counts for that line,\n highest first, from precomputed per-cell-line stats (fast). For the whole profile\n of the line use `get_cell_line` instead.", "inputSchema": { "properties": { "limit": { "default": 15, "description": "How many top genes to return (1-100). Default 15.", "title": "Limit", "type": "integer" }, "name": { "description": "Exact cell-line name, e.g. 'MDA-MB-231'.", "title": "Name", "type": "string" } }, "required": [ "name" ], "title": "top_genes_in_cell_lineArguments", "type": "object" }, "name": "top_genes_in_cell_line", "outputSchema": null } ] }
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