Langfuse FAQs

Question 1

What types of Langfuse data can I access with this server?

Accepted Answer

You can access a wide range of data, including searching traces, viewing full trace and observation details, extracting prompt versions, getting aggregated metrics, and seeing complete pipeline views.

Question 2

What are the benefits of using natural language to query Langfuse data?

Accepted Answer

Using natural language to query Langfuse data streamlines debugging, performance analysis, and prompt engineering by allowing you to intuitively ask questions about your LLM application's behavior without writing complex queries.

Question 3

Does it support multiple Langfuse projects?

Accepted Answer

Yes, Langfuse MCP Server is designed to manage and query multiple Langfuse projects (e.g., development, staging, production) from a single server instance, simplifying your workflow.

Question 4

How can I integrate Langfuse MCP Server with my tools or team?

Accepted Answer

It offers flexible integration with three transport modes: stdio for local tools like Claude Code/Cursor, and SSE or Streamable HTTP with API key authentication for remote access and easy zero-configuration sharing with your team via a URL.

Question 5

What is Langfuse MCP Server?

Accepted Answer

Langfuse MCP (Model Context Protocol) Server enables large language models like Claude and Cursor to directly query your Langfuse traces, prompts, and metrics using natural language commands.

Langfuse

Langfuse

主要功能

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主要功能

使用案例