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Langfuse MCP Server

by olivierteixeira
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    • Langfuse MCP Server

      robertmatuda
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      quality
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      Enables AI agents to query and debug trace, session, observation, and exception data, analyze latency and metrics, and manage prompts, datasets, and annotation queues. Supports selective tool-group loading, compact or file-dump output, and a read-only mode for safer access.
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    • Langfuse MCP Server

      ericortiz604
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      Enables AI agents to locally inspect and debug trace data, sessions, exceptions, routing decisions, prompts, datasets, annotation queues, scores, and metrics, with compact output, selective tool loading, and read-only mode.
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    • Langfuse MCP Server

      Susanne192
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      quality
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      Enables AI agents to locally query and debug traces, sessions, exceptions, route decisions, prompts, datasets, and metrics from any MCP client. Supports token-efficient output control, selective tool-group loading, and a read-only mode for safer access.
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    • Langfuse MCP Server

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      Enables AI agents and MCP clients to debug and observe LLM applications by querying traces, sessions, exceptions, prompts, datasets, scores, and metrics. Supports local stdio/HTTP access, selective tool loading, and read-only operation for safer observability workflows.
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    • Langfuse MCP Server

      HasanFontana78403
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      quality
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      Enables AI agents and MCP clients such as Claude Code, Codex, and Cursor to query and debug trace, session, and exception data locally, including route-decision analysis, metrics aggregation, prompts, datasets, and annotation queues. Offers selective tool loading and a read-only mode to control token overhead and write access.
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    • Langfuse MCP Server

      moniqueflores6030
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