can-immune

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

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
93%
命名品質
97%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~2,228Token(工具定義)
~809 B典型回應大小
中等的注意力影響(128k 上下文的 1.74%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "can-immune": {
      "url": "https://canelib.erc.monash.edu/mcp"
    }
  }
}

遠端端點

https://canelib.erc.monash.edu/mcpstreamable-http

它能做什麼

工具清單

工具(12)

🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢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.

輸入結構描述

{
  "type": "object",
  "properties": {},
  "title": "database_overviewArguments"
}
🟡search_genes(query, limit)

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).

輸入結構描述

{
  "type": "object",
  "properties": {
    "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"
    },
    "limit": {
      "default": 20,
      "description": "Max rows to return (1-100). Default 20.",
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_genesArguments"
}
🟢get_gene(symbol)

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.

輸入結構描述

{
  "type": "object",
  "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"
}
🟢search_cell_lines(query, limit)

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).

輸入結構描述

{
  "type": "object",
  "properties": {
    "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"
    },
    "limit": {
      "default": 20,
      "description": "Max rows to return (1-100). Default 20.",
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_cell_linesArguments"
}
🟢get_cell_line(name)

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.

輸入結構描述

{
  "type": "object",
  "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"
}
⚪top_genes_in_cell_line(name, limit)

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.

輸入結構描述

{
  "type": "object",
  "properties": {
    "name": {
      "description": "Exact cell-line name, e.g. 'MDA-MB-231'.",
      "title": "Name",
      "type": "string"
    },
    "limit": {
      "default": 15,
      "description": "How many top genes to return (1-100). Default 15.",
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "name"
  ],
  "title": "top_genes_in_cell_lineArguments"
}
🟢list_cancer_types(limit)

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.

輸入結構描述

{
  "type": "object",
  "properties": {
    "limit": {
      "default": 50,
      "description": "Max cancer types to return (1-100). Default 50.",
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "list_cancer_typesArguments"
}
🟢list_tissues(limit)

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`.

輸入結構描述

{
  "type": "object",
  "properties": {
    "limit": {
      "default": 50,
      "description": "Max tissues to return (1-100). Default 50.",
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "list_tissuesArguments"
}
🟢get_gene_mutations(gene, limit)

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.

輸入結構描述

{
  "type": "object",
  "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"
}
🟢get_mhc_binding(peptide, allele)

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.

輸入結構描述

{
  "type": "object",
  "properties": {
    "peptide": {
      "description": "The peptide sequence, e.g. 'FLDGNQIVT' (single-letter amino acids).",
      "title": "Peptide",
      "type": "string"
    },
    "allele": {
      "description": "HLA class-I allele in NetMHCpan format, e.g. 'HLA-A*02:11', 'HLA-B*07:02'.",
      "title": "Allele",
      "type": "string"
    }
  },
  "required": [
    "peptide",
    "allele"
  ],
  "title": "get_mhc_bindingArguments"
}
🟢search(query)

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.

輸入結構描述

{
  "type": "object",
  "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"
}
🟢fetch(id)

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.

輸入結構描述

{
  "type": "object",
  "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"
}

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