AI / MLPython

opentelemetry-mcp-server

A unified MCP server for querying OpenTelemetry traces across multiple backends, enabling AI agents to analyze distributed traces for automated debugging and observability.

Free
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OpenTelemetryMCPAIobservability

The OpenTelemetry MCP Server allows users to query and analyze traces from various backends such as Jaeger, Tempo, and Traceloop. It provides specialized support for observability in large language models (LLMs) through OpenLLMetry semantic conventions. Users can leverage AI assistance to find expensive API calls, debug errors, compare model performance, and track token usage directly from their IDE.

Compatible with

Claude DesktopCursor

Install

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "opentelemetry-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-opentelemetry-mcp-server"
      ]
    }
  }
}

Config File Location

Mac: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json

Linux: ~/.config/claude/claude_desktop_config.json

Some servers require additional setup - check the GitHub README for specific instructions.

Permissions

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opentelemetry-mcp-server MCP Server — MCPNest — MCPNest