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Tempo

bygrafana
•
12
Developer Tools
Analytics & Monitoring
Data Science & ML

Enables AI assistants to query and analyze distributed tracing data from Grafana Tempo through the Model Context Protocol.

About

Empower your AI assistants with real-time access to Grafana Tempo's distributed tracing data. This Go-based server implements the Model Context Protocol (MCP), providing AI clients with a `tempo_query` tool to explore traces, identify issues, and gain insights directly from conversational interfaces. It integrates seamlessly with popular AI tools like Claude Desktop, Cursor, and n8n, streamlining AI-driven observability workflows.

Key Features

  • Offers flexible configuration for Tempo URL and authentication via environment variables
  • Includes Docker support for easy deployment and testing
  • 5 GitHub stars
  • Go-based implementation of the Model Context Protocol (MCP)
  • Supports both standard I/O (stdin/stdout) and HTTP Server-Sent Events (SSE) communication
  • Provides a `tempo_query` tool for AI agents to interact with Grafana Tempo

Use Cases

  • Integrating Tempo query capabilities into AI-powered development environments like Cursor
  • Automating observability workflows by connecting AI agents to Tempo data via tools like n8n
  • Enabling AI assistants (e.g., Claude) to execute trace queries and analyze distributed system performance
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