Convai Analytics

Overview

Convai Analytics is a Model Context Protocol (MCP) server: Analyze Convai sessions, latency, reliability, usage, and provider telemetry via API key. Because it speaks the Model Context Protocol, AI assistants can use Convai Analytics as a set of callable tools instead of you copy-pasting between apps.

It runs locally: the npm package @convai/analytics-mcp speaks MCP over stdio on your machine. Configuration happens through environment variables — you'll need CONVAI_API_KEY. The current release is v0.2.5, with source at Conv-AI/convai-analytics on GitHub.

On mcp.site, Convai Analytics sits in the Development category. Any MCP client can use it — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed among them — via the install snippets below. If you maintain Convai Analytics for Conv-AI, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "convai_analytics": {
      "command": "npx",
      "args": [
        "-y",
        "@convai/analytics-mcp"
      ],
      "env": {
        "CONVAI_API_KEY": "<convai-api-key>"
      }
    }
  }
}

Requires CONVAI_API_KEY