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HoneyHive documentation is available as a Model Context Protocol (MCP) server. Connect it to your AI agent or IDE so it can search our docs, find code examples, and answer questions about HoneyHive, without leaving your workflow. MCP Server URL: 
https://docs.honeyhive.ai/mcp
The server exposes a search_honey_hive_ai_docs tool that performs semantic search across all HoneyHive documentation, returning relevant content with direct links to the source pages.

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Setup

  1. Open Settings → Cursor Settings
  2. Click MCP in the sidebar
  3. Click Add new global MCP server
  4. Paste the following configuration into mcp.json:
{
  "mcpServers": {
    "honeyhive-docs": {
      "url": "https://docs.honeyhive.ai/mcp"
    }
  }
}
  1. Restart Cursor

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Usage Examples

Once connected, your agent can query HoneyHive documentation in natural language. For example:
  • “How do I set up tracing with the Python SDK?”
  • “Show me how to create an experiment with custom evaluators”
  • “What enrichment fields can I add to a span?”
  • “How does distributed tracing work across services?”

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Resources

Tracing Quickstart

Get started with HoneyHive tracing in minutes

SDK Reference

Full Python and TypeScript SDK documentation

API Reference

Explore the HoneyHive REST API

Model Context Protocol

Learn more about MCP