Skip to main content
Cevoid MCP connects your workspace analytics to AI clients that support the Model Context Protocol. After connecting, you can ask questions about metrics, dimensions, filters, and reports directly in tools like Claude, ChatGPT, Cursor, or another MCP-compatible client. Use MCP when you want to explore your analytics conversationally instead of opening and comparing reports manually.

​
What you can ask

MCP is useful for questions like:
  • Which posts performed best in the last 30 days?
  • Which reports track Instagram performance?
  • What conversion metrics are available?
  • How did widget engagement change compared with the previous period?
  • Which content sources drove the most activity?
The AI client can query analytics directly, inspect available metrics and dimensions, browse curated reports, and run a saved report when a preset is the best fit.

​
How it works

Cevoid’s MCP server exposes Analytics tools for your workspace. Your AI client connects to Cevoid, authenticates with OAuth, and then uses the available tools to answer questions using your report data. The connection is workspace-scoped, so the AI client only works with the workspace or workspaces you authorize.

​
Connect an AI client

  • Open your AI client’s MCP settings.
  • Add the Cevoid MCP server endpoint:
https://mcp.cevoid.com/mcp
  • Follow your AI client’s authentication flow.
  • Ask a question about your Cevoid Analytics data.
Each AI client has its own MCP setup flow. Use your client’s MCP documentation for the exact configuration steps.

​
Technical reference

The generated MCP developer docs document the available tools, auth model, resources, rate limits, and setup details.