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The Calibrate MCP server lets AI assistants like Claude Code, Cursor, and Codex work with Calibrate’s evaluation API through the Model Context Protocol — so they can manage agents, tests, and evaluators, launch runs and benchmarks, and set up annotation tasks without leaving your editor. Every tool maps 1-to-1 to a public API operation.

What you can do

Ask your coding agent to:
  • Create and connect agents, and resolve friendly names to UUIDs
  • Author, bulk-upload, and update test cases
  • Create and version evaluators
  • Link tests, launch runs and benchmarks, and poll per-test-case results
  • Create annotation tasks, run evaluators over them, and check reviewer agreement

Quick start

1

Get your API key

Create one under Workspace settings → API keys — see the API keys guide.
2

Configure your MCP client

Add the Calibrate MCP server to your client’s config:
See Installation for config file locations per client and platform.
3

Restart your client

Fully quit and reopen your MCP-compatible app so it picks up the new server.
4

Start asking

Query your agent — “list my agents”, “run tests for support-bot”, “what’s the status of run abc123”.

Available tools

The Calibrate MCP server exposes 35 tools across 5 categories: See the Tools reference for each tool’s parameters and the API operation it calls.

Example queries

Once connected, you can ask your coding agent things like:
  • “List all my agents”
  • “Resolve the names support-bot and billing-bot to UUIDs”
  • “Create a test case for support-bot and link it”
  • “Run the tests for support-bot and give me the task id”
  • “Run tests for every agent in my workspace”
  • “What’s the status and results of run abc123?”
  • “Create an annotation task from that run and check reviewer agreement”

Requirements

  • Node.js 20+
  • A Calibrate API key
  • An MCP-compatible client (Claude Code, Cursor, Codex, Claude Desktop)

Support

Source

calibrate-mcp

API keys

Create and manage keys