Langfuse MCP Observability Server

Example Use Cases

• 1

  List, retrieve, and delete detailed traces with filtering and pagination.

• 2

  Query and manage observations, including generations, spans, and events with usage metrics.

• 3

  Create, list, and manage evaluation scores and datasets for AI model assessments.

Description

This MCP server extends Langfuse's capabilities by offering comprehensive tools for managing and querying observability data such as traces, observations, scores, datasets, and sessions. It supports both Langfuse Cloud and self-hosted instances, enabling AI assistants to access detailed telemetry and evaluation data. The server complements Langfuse's built-in prompt management MCP server and is designed for integration within the Langfuse ecosystem.