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How to let an AI agent search and compare On Co cancer records with On Co

Connect an agent to the On Co MCP server to search, fetch and compare cancer records with sources.

  • Top pick
  • Research
  • Intermediate
  • 30 minutes
  • From the README
  • Any agent

Reverse engineering. The MCP server returns general oncology information that the README says is work in progress and not medical advice, so outputs must not guide treatment decisions.

Who it is forAn AI agent builder or a researcher whose agent needs cited oncology facts about a specific cancer, treatment or trial.

The problemGeneral language models often state oncology facts without checkable sources or country-specific approval status.

The outcomeThe agent answers from On Co records, with a TL;DR, approval status for a chosen country and primary source links for each claim.

What you need first

  • Node.js and npm (inferred, needed for the repository scripts)
  • Git and a GitHub account for cloning the repository or opening issues and pull requests
  • An MCP-capable client or agent for the MCP server (optional)

Steps

  1. Install Node.js so that npx is available. (inferred, check the README)
  2. Add an MCP server entry to your client that runs npx -y onco-mcp.
  3. Ask the agent to search On Co for a cancer type, then fetch one treatment record.
  4. Ask the agent to compare two treatments and list the primary source link for each fact.
  5. Open each source link and confirm it matches the claim before using the answer.

Prompt for your agent

Using the OnCo MCP server started with `npx -y onco-mcp` from the judegomila/OnCo repository, search for <cancer type>, fetch the treatment record for <treatment name>, and return its TL;DR, its approval status for <country>, and every primary source link. Verify that each link resolves before reporting, and state any field the record marks as no data.

Caveat. The README says facts may be incomplete, out of date or wrong, so every answer needs checking against the primary source linked on each page.

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