Product Information
What is Mcpcat?
MCPcat is an analytics platform for MCP server owners. It captures user intent and behavior patterns to help you understand what AI users truly need from your tools—eliminating guesswork and accelerating product development with first-line code.
Why use MCPcat? MCPcat assists developers and product owners in building, improving, and monitoring their MCP servers by capturing user analytics and tracking tool interactions.
Use MCPcat for:
**User Session Replay**: Follow along with your users to uncover why they use the MCP server, what features they’re missing, and which clients they originate from.
**Debugging with Tracking**: Identify where users get stuck, trace when LLMs are confused by APIs, and debug across all deployments of your MCP server.
**Existing Platform Support**: Get logging and tracing out of the box with compatibility for existing observability platforms (OpenTelemetry, Datadog, Sentry)—removing the hassle of implementing telemetry yourself.
How to use Mcpcat?
MCPcat is an analytics platform designed for MCP server owners. It captures user intent and behavior patterns to assist developers and product leads in understanding AI user needs, thereby enhancing and monitoring MCP servers and accelerating product development.
Core Functions of Mcpcat
User session recording
Model Context Protocol (MCP) support
AI-Driven
Usage Scenarios of Mcpcat
- Replay user sessions to understand how users interact with MCP servers and identify missing features.
- Perform trace debugging to identify user bottlenecks and LLM API confusion issues, and debug sessions across deployments.
- Provide out-of-the-box logging and tracing for existing observability platforms like OpenTelemetry, Datadog, and Sentry.
- Capture user intent and tool usage to understand behavior and discover needed features.
Common Questions about Mcpcat
What does MCPcat do?
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