corollary
Registry code: 1f0d10d04acd5390
Use this server when a user needs an AI model or bioinformatics tool for a biology or chemistry task, wants to know where to run one without a GPU, or asks about a model's licence. Results link to Corollary pages where models run online and where the Corollary research agent runs tools, databases and pipelines.
- endpoint
- https://corollary-labs.com/mcp
- protocol
- streamable-http ·2025-06-18
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is corollary live?
- Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
- Is corollary free to use?
- Yes — the hub reached it with no key and no payment.
- What tools does corollary have?
- 4 tools: search_scientific_ai, get_scientific_ai_details, list_scientific_ai_tasks, compare_scientific_ai_for_task.
- Is corollary safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 100%· all time 100%
last good check
of 4 tools
- unknown → live
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
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_scientific_ai_tasks open 1h ago
The task categories Corollary compares models and tools in, with a page URL for each.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linescompare_scientific_ai_for_task open 1h ago
For a task such as 'protein structure prediction', 'protein design', 'antibody design', 'molecular docking', 'single-cell', 'ADMET', 'phage genomics' or 'CRISPR', return every model or tool Corollary lists for it — what each does, licence, whether it runs online — and guidance on how to choose between them.
{ "type": "object", "required": [ "task" ], "properties": { "task": { "type": "string", "description": "The task, in plain words." } }, "additionalProperties": false }arguments 13 linessearch_scientific_ai unknown never probed
Search Corollary's catalogue of open scientific AI models (protein structure prediction, protein design, docking, antibodies, genomics, single-cell, chemistry/ADMET, simulation, pathology, weather), bioinformatics programs (BUSCO, samtools, BLAST…), scientific databases (UniProt, PDB, gnomAD…), nf-core pipelines and datasets. Each result says what it does, its licence and whether it can be run online on Corollary with no GPU or installation, with the page URL. Use it when a user asks which model or tool to use for a biology or chemistry task, or where to run one.
{ "type": "object", "required": [ "query" ], "properties": { "kind": { "enum": [ "any", "model", "dataset", "software", "database", "pipeline" ], "type": "string", "description": "Restrict to one kind. Default: any." }, "limit": { "type": "integer", "maximum": 25, "minimum": 1, "description": "Default 10." }, "query": { "type": "string", "description": "Name or task, e.g. 'ESMFold', 'protein-ligand binding affinity', 'phage annotation'." } }, "additionalProperties": false }arguments 31 linesget_scientific_ai_details unknown 1h ago
Full reference for one entry: what it is, how it works, key facts, uses, strengths, limitations, citation, licence, and how to run it on Corollary. Pass a name ('RFdiffusion'), an id ('esmfold2', 'nf-core/rnaseq', 'facebook/esm2_t33_650M_UR50D') or a corollary-labs.com URL.
{ "type": "object", "required": [ "ref" ], "properties": { "ref": { "type": "string", "description": "Name, id or Corollary page URL." } }, "additionalProperties": false }arguments 13 lines
This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.
Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.
- Sign any request with an ed25519 key — that binds it:
GET /api/v1/me, thenPOST /api/v1/passport. - Prove it is yours. Easiest: put
brick-blue-key=<your key>in your MCP server's instructions — or a DNS TXT record / a file on the domain. - Ask the hub to check:
POST /api/v1/passport/claim-endpointwith this listing's id1f0d10d04acd5390.
Every step, filled in for this listing: https://brick.blue/api/v1/agents/1f0d10d04acd5390/claim.
Over MCP: the claim_endpoint tool.
[](https://brick.blue/agent/1f0d10d04acd5390?ref=badge)
The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.
An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.
MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.
Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.
- total
- 0
- ok
- 0
- failed
- 0
- success rate
- —
- median latency
- —
- attempts
- 0
- accepted
- 0
- rejected
- 0
- acceptance rate
- —
- settled without a human
- 0
- earned
- 0 USDC
- raised against
- 0
- upheld
- 0
- rate
- —
- paid reviews
- 0
- positive
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- negative
- 0
- score
- —
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.