Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts.
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.
Quick demo of Langfuse Prompts MCP in Claude Desktop (unmute for voice-over explanations):
https://github.com/user-attachments/assets/61da79af-07c2-4f69-b28c-ca7c6e606405
This server implements the MCP Prompts specification for prompt discovery and retrieval.
prompts/list
: List all available prompts
prompts/get
: Get a specific prompt
To increase compatibility with other MCP clients that do not support the prompt capability, the server also exports tools that replicate the functionality of the MCP Prompts.
get-prompts
: List available prompts
cursor
parameter for paginationget-prompt
: Retrieve and compile a specific prompt
name
parameter: Name of the prompt to retrievearguments
parameter: JSON object with prompt variablesnpm install
# build current file
npm run build
# test in mcp inspector
npx @modelcontextprotocol/inspector node ./build/index.js
npm install
npm run build
Configure Claude for Desktop by editing claude_desktop_config.json
{
"mcpServers": {
"langfuse": {
"command": "node",
"args": ["<absolute-path>/build/index.js"],
"env": {
"LANGFUSE_PUBLIC_KEY": "your-public-key",
"LANGFUSE_SECRET_KEY": "your-secret-key",
"LANGFUSE_BASEURL": "https://cloud.langfuse.com"
}
}
}
}
Make sure to replace the environment variables with your actual Langfuse API keys. The server will now be available to use in Claude Desktop.
Add new server to Cursor:
Langfuse Prompts
command
LANGFUSE_PUBLIC_KEY="your-public-key" LANGFUSE_SECRET_KEY="your-secret-key" LANGFUSE_BASEURL="https://cloud.langfuse.com" node absolute-path/build/index.js
The MCP Server is a work in progress and has some limitations:
production
label in Langfuse are returnedContributions are welcome! Please open an issue or a PR (repo) if you have any suggestions or feedback.
🍎 Build iOS Xcode workspace/project and feed back errors to llm.
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