Langfuse Prompt Management MCP Server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Langfuse Prompt Management MCP Serverget the welcome-email prompt and fill in name=Alice"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: Langfuse Prompt Management MCP Server
Features
MCP Prompt
This server implements the MCP Prompts specification for prompt discovery and retrieval.
prompts/list: List all available promptsOptional 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 promptTransforms 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 promptsOptional
cursorparameter for paginationReturns a list of prompts with their arguments
get-prompt: Retrieve and compile a specific promptRequired
nameparameter: Name of the prompt to retrieveOptional
argumentsparameter: JSON object with prompt variables
Development
npm install
# build current file
npm run build
# test in mcp inspector
npx @modelcontextprotocol/inspector node ./build/index.jsUsage
Step 1: Build
npm install
npm run buildStep 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 PromptsType:
commandCommand:
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 returnedAll 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.
This server cannot be deployed
Maintenance
Related MCP Connectors
Your prompt library in any MCP client: list, fetch, save and version prompt templates.
Generate contextual prompts and reusable agent skills, evaluate prompts with the 16-dimension Prompt Score, and manage saved work in PromptDrive. Twelve MCP tools also provide authorized access to private Memory for source-grounded answers. Connect over Streamable HTTP using OAuth 2.1 and PKCE. Generation consumes account quota and automatically saves successful results; Memory access follows account permissions and plan limits.
Self-hosted AI prompt library: prompts, collections, tags, teams, chains. 29 MCP tools for agents.
- PromptOTOAuthcom.promptot
Manage, version, and publish LLM prompts with blocks, variables, and evaluations.
Related MCP Servers
- FlicenseNot gradedqualityAmaintenanceEnables MCP clients to discover, retrieve, and compile Langfuse prompts, and provides equivalent tools for clients that lack prompt support.-
- FlicenseNot gradedqualityAmaintenanceEnables discovering, retrieving, and compiling Langfuse prompts with supplied variables, exposing them both as MCP prompts and as tools for clients that lack prompt support. Supports cursor-based pagination when listing prompts, limited to those carrying a production label.-
- FlicenseNot gradedqualityAmaintenanceEnables MCP clients to list and retrieve Langfuse prompts, including text and chat prompts, compiling them with user-supplied variables. It also exposes equivalent tools so clients without prompt capability can still discover and fetch prompts.-
- FlicenseNot gradedqualityAmaintenanceEnables users to discover, retrieve, and compile their Langfuse prompts through the Model Context Protocol, exposing both prompt primitives and equivalent tools so any MCP client can list prompts with pagination and fetch individual prompts with variables.-