mshegolev/jaeger-mcp

What it does

mshegolev/jaeger-mcp is an MCP (Model Context Protocol) server that integrates Jaeger distributed tracing capabilities into AI tools and applications. It provides programmatic access to trace data, service information, and system dependencies through five core tools: list_services, list_operations, search_traces, get_trace, and get_dependencies.

How to set up

Installation is straightforward via PyPI. Install the package using pip, configure it with your Jaeger instance HTTP API v3 endpoint, and register it as an MCP server in your AI tool configuration. The tool works with any standard Jaeger deployment, whether self-hosted or cloud-based.

Key features

• List all services and their operations in your Jaeger instance
• Search traces with flexible filtering and query capabilities
• Retrieve detailed trace information for debugging and analysis
• View service dependencies and system topology
• Compatible with any Jaeger HTTP API v3 implementation
• Available on PyPI and MCP Registry for easy discovery