Corollary — scientific AI models, tools and databases

Measured conclusion: Deep-tested. L2 outcome: tools_ok.

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

Add to your agent

Copy this into your MCP client config:

{
  "mcpServers": {
    "Corollary — scientific AI models, tools and databases": {
      "url": "https://corollary-labs.com/mcp",
      "transport": "streamable-http"
    }
  }
}

Measured tools (6)

• search_scientific_ai read-only

  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.

  Parameters:

  • query (required) — string — Name or task, e.g. 'ESMFold', 'protein-ligand binding affinity', 'phage annotation'.
  • kind — string — Restrict to one kind. Default: any.
  • limit — integer — Default 10.

  Hints: read-only yes · destructive not declared · idempotent not declared · open-world no

• get_scientific_ai_details read-only

  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.

  Parameters:

  • ref (required) — string — Name, id or Corollary page URL.

  Hints: read-only yes · destructive not declared · idempotent not declared · open-world no

• compare_scientific_ai_for_task read-only

  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.

  Parameters:

  • task (required) — string — The task, in plain words.

  Hints: read-only yes · destructive not declared · idempotent not declared · open-world no

• how_to_run_science_task read-only

  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.

  Parameters:

  • task (required) — string — The work the user wants done, in plain words.

  Hints: read-only yes · destructive not declared · idempotent not declared · open-world no

• list_science_tasks read-only

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

  Hints: read-only yes · destructive not declared · idempotent not declared · open-world no

• list_scientific_ai_tasks read-only

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

  Hints: read-only yes · destructive not declared · idempotent not declared · open-world no

Publisher website

Measured by MCPYP probing. Untested fields are omitted, never estimated. Listing is always free; MCPYP never proxies calls or stores user tokens.