MCPulse offers a robust open-source platform for analytics and observability tailored for Model Context Protocol (MCP) servers. It provides comprehensive insights into server usage, performance, errors, and critical business metrics, empowering users with the visibility needed for effective server management.
MCPulse - MCP Analytics Platform
MCPulse is a robust open-source analytics and observability platform designed explicitly for Model Context Protocol (MCP) servers. This platform offers comprehensive insights into the usage, performance, errors, and business metrics of MCP servers, enabling organizations to optimize their operations and decision-making.
Key Features
- Analytics and Observability: Gain detailed visibility into critical metrics and server performance.
- Self-Hosted Solution: Deploy your instance of MCPulse to suit your infrastructure needs.
- Zero-Code Integration: With MCPulse Proxy, analytics can be seamlessly added to any MCP server without the need for code changes.
Screenshots

Quick Start
Easily set up MCPulse using Docker with the following instructions:
# Download configuration files
curl -O https://raw.githubusercontent.com/sirrobot01/mcpulse/main/docker-compose.yml
curl -o config.yaml https://raw.githubusercontent.com/sirrobot01/mcpulse/main/config.yaml.example
# Start MCPulse
docker compose up -d
Access the dashboard at http://localhost:8080.
Integration Options
- MCPulse Proxy: Add analytics to any MCP server without code changes, using stdio, HTTP, or SSE.
- SDKs Available: Integrate with Python, Go, and upcoming Node.js/TypeScript SDKs for direct analytics access.
Documentation
For further guidance and in-depth information, refer to the User Guide.
MCPulse empowers users with the tools necessary for effective server monitoring and analytics, making it an essential solution for organizations utilizing MCP servers.
No comments yet.
Sign in to be the first to comment.