MCP Server Langfuse
Access and manage LLM application prompts created with Langfuse Prompt Management.
Que pouvez-vous faire avec MCP Server Langfuse ?
get-prompts: List available promptsget-prompt: Retrieve and compile a specific prompt
Installation
Les étapes d'installation sont dans la documentation ci-dessous. Documentation
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Langfuse Prompt Management MCP Server
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.
Demo
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
Features
MCP Prompt
This server implements the MCP Prompts specification for prompt discovery and retrieval.
prompts/list: List all available prompts- Optional cursor-based pagination
- Returns prompt names and their required arguments, limitation: all arguments are assumed to be optional and do not include descriptions as variables do not have specification in Langfuse
- Includes next cursor for pagination if there's more than 1 page of prompts
prompts/get: Get a specific prompt- Transforms Langfuse prompts (text and chat) into MCP prompt objects
- Compiles prompt with provided variables
Tools
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- Optional
cursorparameter for pagination - Returns a list of prompts with their arguments
- Optional
get-prompt: Retrieve and compile a specific prompt- Required
nameparameter: Name of the prompt to retrieve - Optional
argumentsparameter: JSON object with prompt variables
- Required
Development
npm install
# build current file
npm run build
# test in mcp inspector
npx @modelcontextprotocol/inspector node ./build/index.js
Usage
Step 1: Build
npm install
npm run build
Step 2: Add the server to your MCP servers:
Claude Desktop
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.
Cursor
Add new server to Cursor:
- Name:
Langfuse Prompts - Type:
command - 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
Limitations
The MCP Server is a work in progress and has some limitations:
- Only prompts with a
productionlabel in Langfuse are returned - All arguments are assumed to be optional and do not include descriptions as variables do not have specification in Langfuse
- List operations require fetching each prompt individually in the background to extract the arguments, this works but is not efficient
Contributions are welcome! Please open an issue or a PR (repo) if you have any suggestions or feedback.
Questions fréquentes
Qu'est-ce que MCP Server Langfuse ?
Access and manage LLM application prompts created with Langfuse Prompt Management.
Comment installer MCP Server Langfuse ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
MCP Server Langfuse est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient MCP Server Langfuse ?
Il est publié par langfuse. AI.tn le référence sans le maintenir ni le recommander.
Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.