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langfuse/mcp-server-langfuse

by Various

Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.

L

MCP

langfuse/mcp-server-langfuse

Added 1 June 2026

#langfuse #llm #llmops #mcp #model-context-protocol #prompt-management #prompting

Overview

A Model Context Protocol (MCP) server that enables access and management of Langfuse prompts through the MCP interface. It connects Langfuse's prompt management features to MCP-compatible clients, allowing programmatic interaction with prompts.

Best for

Best for
Developers already using Langfuse who need MCP-based prompt management and automation

Use cases

  • Manage Langfuse prompts from MCP-compatible tools
  • Integrate prompt versioning and deployment into automated workflows
  • Access prompt content and metadata through standard MCP requests

Notes

A Model Context Protocol (MCP) server that enables access and management of Langfuse prompts through the MCP interface. It connects Langfuse’s prompt management features to MCP-compatible clients, allowing programmatic interaction with prompts.

167 stars on GitHub. Last updated 2025-02-16. Licensed MIT.

Use cases

  • Manage Langfuse prompts from MCP-compatible tools
  • Integrate prompt versioning and deployment into automated workflows
  • Access prompt content and metadata through standard MCP requests

Pros

  • Provides a standardized MCP interface for Langfuse prompt operations
  • Leverages existing Langfuse infrastructure for prompt versioning and tracking
  • Open source TypeScript implementation with active community (167 stars)

Cons

  • Tied to the Langfuse platform (no alternative prompt backends)
  • Requires running a dedicated MCP server, adding operational overhead
  • Adoption limited to environments that support the Model Context Protocol

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Provides a standardized MCP interface for Langfuse prompt operations
  • Leverages existing Langfuse infrastructure for prompt versioning and tracking
  • Open source TypeScript implementation with active community (167 stars)

Cons

  • Tied to the Langfuse platform (no alternative prompt backends)
  • Requires running a dedicated MCP server, adding operational overhead
  • Adoption limited to environments that support the Model Context Protocol