MCP server

Corollary — scientific AI models, tools and databases

com.corollary-labs/corollary

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

corollary-labs.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 922 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add corollary https://corollary-labs.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"corollary","server_url":"https://corollary-labs.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"corollary","server_url":"https://corollary-labs.com/mcp"}

Tools

• compare_scientific_ai_for_task ~152 tokens
  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 betwe
• get_scientific_ai_details ~142 tokens
  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.
• how_to_run_science_task ~203 tokens
  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 stage
• list_science_tasks ~58 tokens
  Every scientific analysis Corollary has a page and a method for, with its URL.
• list_scientific_ai_tasks ~62 tokens
  The task categories Corollary compares models and tools in, with a page URL for each.
• search_scientific_ai ~305 tokens
  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-c

Browse

• Facebook tools
• Social media
• Weather

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