MCPcat
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MCPcat is an analytics platform for MCP server owners 🐱. It captures user intentions and behavior patterns to help you understand what AI users actually need from your tools — eliminating guesswork and accelerating product development all with one-line of code.
Cost / License
- Freemium
- Open Source
Platforms
- Self-Hosted
- Python
- Typescript
- Online
- Software as a Service (SaaS)
MCPcat
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Features
- User Session Recording
- Model Context Protocol (MCP) Support
- AI-Powered
Tags
- typescript-sdk
- python-sdk
- Session Replay
- MCP Servers
- trace-analysis
- datadog
- opentelemetry
- analytics
- sentry
MCPcat information
Developed by
MCPCat Licensing
Open Source (MIT) and Freemium product.Pricing
free version with limited functionality.Written in
Alternatives
0 alternatives listedSupported Languages
- English
AlternativeTo Category
AI Tools & ServicesGitHub repository
- 88 Stars
- 6 Forks
- 1 Open Issues
- Updated
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Post comment/reviewWhat is MCPcat?
MCPcat is an analytics platform for MCP server owners 🐱. It captures user intentions and behavior patterns to help you understand what AI users actually need from your tools — eliminating guesswork and accelerating product development all with one-line of code.
Why use MCPcat?
MCPcat helps developers and product owners build, improve, and monitor their MCP servers by capturing user analytics and tracing tool calls.
Use MCPcat for:
- User session replay: Follow alongside your users to understand why they're using your MCP servers, what functionality you're missing, and what clients they're coming from.
- Trace debugging: See where your users are getting stuck, track and find when LLMs get confused by your API, and debug sessions across all deployments of your MCP server.
- Existing platform support: Get logging and tracing out of the box for your existing observability platforms (OpenTelemetry, Datadog, Sentry) — eliminating the tedious work of implementing telemetry yourself.