Unified MCP server for querying OpenTelemetry traces across multiple backends (Jaeger, Tempo, Traceloop, etc.), enabling AI agents to analyze distributed traces for automated debugging and observability.
Unified MCP server for querying OpenTelemetry traces across multiple backends (Jaeger, Tempo, Traceloop, etc.), enabling AI agents to analyze distributed traces for automated debugging and observability.
pip install opentelemetry-mcp-serverAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"traceloop-opentelemetry-mcp-server-github": {
"command": "uvx",
"args": [
"pip install opentelemetry-mcp-server"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from opentelemetry?"
No configuration required. This server works out of the box.
"What resources are available in opentelemetry?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in opentelemetry"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in opentelemetry with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.