Corollary — scientific AI models, tools and databases MCP Server

by corollary-labs Your server? Claim it

not responding

Corollary — scientific AI models, tools and databases is listed as active in the registry but did not answer our last check. It exposes 6 tools.

Find open biology and chemistry AI models, bioinformatics tools and databases, and run them online.

Uptime history 19 days of history · worst day 0%

19 days agonow

0.0%

Uptime 24h

0 of 92 checks

Tools

read from the server

60 ms

Response time

average over 24h

open, no key

Access

streamable-http

Corollary — scientific AI models, tools and databases does not always answer

Over the last week it answered 2.5% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not 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 7 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add corollary --transport http https://corollary-labs.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://corollary-labs.com/mcp

~/.codex/config.toml

[mcp_servers.corollary]
url = "https://corollary-labs.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "corollary": {
      "url": "https://corollary-labs.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "corollary": {
      "type": "http",
      "url": "https://corollary-labs.com/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

scientific

get_scientific_ai_details

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.

list_scientific_ai_tasks

The task categories Corollary compares models and tools in, with a page URL for each.

search_scientific_ai

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.

compare

compare_scientific_ai_for_task

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.

how

how_to_run_science_task

For a piece of scientific work someone wants done — 'annotate a phage genome', 'deconvolve bulk RNA-seq into cell types', 'check assembly completeness', 'dock a ligand', 'fit an IC50', 'process accelerometer data', 'call variants', 'find CRISPR arrays' — return how it is done on Corollary: the stages in order, the programs, models and databases used, what commonly goes wrong, and the page that starts it. Use this when the user wants a task done rather than a model named.

science

list_science_tasks

Every scientific analysis Corollary has a page and a method for, with its URL.

Endpoints

URL	Transport	State	Latency	Checked
https://corollary-labs.com/mcp	streamable-http	answering	60 ms	7 min ago

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Corollary — scientific AI models, tools and databases — questions

Answers built from our own checks of this server.

What can Corollary — scientific AI models, tools and databases do?

It exposes 6 tools, read directly from the server on our last check. Among them: compare_scientific_ai_for_task, get_scientific_ai_details, how_to_run_science_task, list_science_tasks, list_scientific_ai_tasks, search_scientific_ai. 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 →

Is Corollary — scientific AI models, tools and databases working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 92 checks got a reply (0.0%), average response time 60 ms. The bar chart above shows every period we have measured.

The registry lists Corollary — scientific AI models, tools and databases as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect Corollary — scientific AI models, tools and databases?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Corollary — scientific AI models, tools and databases need an API key?

No. Corollary — scientific AI models, tools and databases completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.