INDIVIDUAL MCP TOOL

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.

corollary-labs.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://corollary-labs.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for get_scientific_ai_details and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: corollary
Remote MCP URL: https://corollary-labs.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "corollary",
  "transport": "streamable-http",
  "url": "https://corollary-labs.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

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.
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_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.
list_science_tasks — Every scientific analysis Corollary has a page and a method for, with its URL.
list_scientific_ai_tasks — The task categories Corollary compares models and tools in, with a page URL for each.