_ registry / mcp streamable-http · checked 1h ago

CAN-IMMUNE

https://canelib.erc.monash.edu

Registry code: ec0dbe4e24c44a1c

api record

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.

endpoint
https://canelib.erc.monash.edu/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
1,132ms

last good check

priced tools
0

of 12 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 12 tools
2 open 10 never probed 2 of 12 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • list_cancer_types open 1h ago

    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.

    mcp-tool

    {
      "type": "object",
      "title": "list_cancer_typesArguments",
      "properties": {
        "limit": {
          "type": "integer",
          "title": "Limit",
          "default": 50,
          "description": "Max cancer types to return (1-100). Default 50."
        }
      }
    }
    arguments 12 lines
  • list_tissues open 1h ago

    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`.

    mcp-tool

    {
      "type": "object",
      "title": "list_tissuesArguments",
      "properties": {
        "limit": {
          "type": "integer",
          "title": "Limit",
          "default": 50,
          "description": "Max tissues to return (1-100). Default 50."
        }
      }
    }
    arguments 12 lines
  • search unknown never probed

    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.

    mcp-tool

    {
      "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'."
        }
      }
    }
    arguments 14 lines
  • database_overview unknown never probed

    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.

    mcp-tool

    {
      "type": "object",
      "title": "database_overviewArguments",
      "properties": {}
    }
    arguments 5 lines
  • search_genes unknown never probed

    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).

    mcp-tool

    {
      "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."
        }
      }
    }
    arguments 20 lines
  • get_gene unknown never probed

    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.

    mcp-tool

    {
      "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."
        }
      }
    }
    arguments 14 lines
  • search_cell_lines unknown never probed

    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).

    mcp-tool

    {
      "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."
        }
      }
    }
    arguments 20 lines
  • get_cell_line unknown never probed

    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.

    mcp-tool

    {
      "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."
        }
      }
    }
    arguments 14 lines
  • top_genes_in_cell_line unknown never probed

    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.

    mcp-tool

    {
      "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."
        }
      }
    }
    arguments 20 lines
  • get_gene_mutations unknown never probed

    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.

    mcp-tool

    {
      "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."
        }
      }
    }
    arguments 20 lines
  • get_mhc_binding unknown never probed

    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.

    mcp-tool

    {
      "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)."
        }
      }
    }
    arguments 20 lines
  • fetch unknown never probed

    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.

    mcp-tool

    {
      "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'."
        }
      }
    }
    arguments 14 lines
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.