Can Immune is answering right now. Last checked 14 min ago. It exposes 12 tools. Last commit 10 Aug 2026.
Query CAN-IMMUNE: cancer neoantigen mutations, peptides, cell lines, MHC-I binding. Read-only.
Uptime history
44 days of history · worst day 89%
44 days agonow
100.0%
Uptime 24h
91 of 91 checks
12
Tools
read from the server
1430 ms
Response time
average over 24h
0
Stars
last commit 10 Aug 2026
Can Immune missed one check this week
Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.
run in your terminal
claude mcp add can-immune --transport http https://canelib.erc.monash.edu/mcp~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"can-immune": {
"url": "https://canelib.erc.monash.edu/mcp"
}
}
}~/.codex/config.toml
[mcp_servers.can-immune]
url = "https://canelib.erc.monash.edu/mcp".cursor/mcp.json
{
"mcpServers": {
"can-immune": {
"url": "https://canelib.erc.monash.edu/mcp"
}
}
}.vscode/mcp.json
{
"mcpServers": {
"can-immune": {
"url": "https://canelib.erc.monash.edu/mcp"
}
}
}Available tools 12
Read directly from the server with tools/list, grouped by what they act on.
If a tool disappears, we record the date.
cell
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.
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).
gene
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.
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.
cancer
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.
database
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.
fetch
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.
genes
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).
mhc
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.
search
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.
tissues
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`.
top
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.
Endpoints
| URL | Transport | State | Latency | Checked |
|---|---|---|---|---|
| https://canelib.erc.monash.edu/mcp | streamable-http | answering | 1141 ms | 14 min ago |
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Can Immune — questions
Answers built from our own checks of this server.
What can Can Immune do?
It exposes 12 tools, read directly from the server on our last check. Among them: database_overview, fetch, get_cell_line, get_gene, get_gene_mutations, get_mhc_binding and 6 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README.
How MCP servers expose tools in the first place →
What is Can Immune mostly used for?
Its tools cluster around gene and cell. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is Can Immune working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 1430 ms. The bar chart above shows every period we have measured.
How do I connect Can Immune?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Can Immune need an API key?
No. Can Immune completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 12 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Can Immune?
It answers our handshake in 1430 ms on average, which is faster than 3% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Can Immune open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.