Corollary — scientific AI models, tools and databases

com.corollary-labsPublished by corollary-labs.comOfficial publisherv1.0.0Updated Oct 26, 2026

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

VerifiedStreamable HTTPWeb executableKnowledge & MemoryAI & ML

Overview

AI-generated overview

Remote MCP server that lets an assistant search and compare open scientific AI models, bioinformatics tools and databases, and find how to run science tasks…

What you can do
  • Search the catalogue of open scientific AI models, bioinformatics programs and scientific databases
  • Read full reference details for one entry by name, id or site URL
  • Compare every model or tool listed for a task such as protein design, docking or single-cell work
  • Get step-by-step guidance on how a scientific task is done on Corollary
  • List all scientific analyses Corollary has a page and method for, with URLs
  • List the task categories Corollary compares models and tools in
When to use it
Useful when you need to pick a model or tool for a biology or chemistry task, check licences and whether something runs online, or find a documented method for a specific analysis. It is a discovery and guidance layer, not a compute service.
Requirements
A remote streamable HTTP endpoint at corollary-labs.com; no packages, environment variables or headers are declared. No authentication is declared, though the homepage developer docs may describe access conditions.
Before you install
The manifest declares no authentication, so check the provider's terms before relying on it. Results are catalogue and guidance content from a third party; verify licences and citations before using a model or tool. No write, payment or credential-handling tools are listed.

Installation

In SourceWeft

  1. Open Corollary — scientific AI models, tools and databases in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.corollary-labs%2Fcorollary/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "corollary-scientific-ai-models-tools-and": {
      "type": "http",
      "url": "https://corollary-labs.com/mcp"
    }
  }
}

Tools

6

search_scientific_ai

Search scientific AI models, tools, databases, pipelines and datasets

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.

Parameterskindlimitqueryrequired

get_scientific_ai_details

Explain one model, tool, database, pipeline or dataset

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.

Parametersrefrequired

compare_scientific_ai_for_task

Compare the models or tools for a 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.

Parameterstaskrequired

how_to_run_science_task

How to do a scientific analysis on Corollary

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.

Parameterstaskrequired

list_science_tasks

List the analyses Corollary runs

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

Takes no parameters.

list_scientific_ai_tasks

List the task categories

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

Takes no parameters.

Version history

1
  1. v1.0.0LatestOct 20, 2026

Score

83% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.