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 production customer-support prompt with user_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.
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
update-prompt: Create new prompt versions or update existing ones, with production promotionRequired
nameparameter: Name of the prompt to create or updateOptional
promptparameter: The prompt content (string for text prompts, array of message objects for chat prompts). Required when creating new versions, omit when only updating labels.Optional
versionparameter: Specific version number to update labels on. If provided, only labels will be updated. If omitted, creates a new version.Optional
typeparameter: Type of prompt ("text" or "chat", defaults to "text")Optional
configparameter: Configuration object for model parameters (e.g., temperature, model name)Optional
labelsparameter: Array of labels to assign to this prompt version (e.g., ["staging", "production"])Optional
tagsparameter: Array of tags to categorize the promptOptional
promoteToProductionparameter: Boolean to automatically add "production" label (defaults to false)
Related MCP server: PromptDB MCP Server
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
This server cannot be deployed
Maintenance
Related MCP Connectors
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.
- PromptOTOAuthcom.promptot
Manage, version, and publish LLM prompts with blocks, variables, and evaluations.
Professional prompt library over remote MCP: 13 verticals, free discovery scope.
Self-hosted AI prompt library: prompts, collections, tags, teams, chains. 29 MCP tools for agents.
Related MCP Servers
- AlicenseNot gradedqualityCmaintenanceProvides prompt management, resource management, and tool call capabilities (content analysis, article analysis) based on the MCP protocol.3MIT
- AlicenseAqualityDmaintenanceEnables storage, versioning, and retrieval of prompts with rich metadata via MCP tools, supporting stdio and SSE transports.317 npm3ISC
- AlicenseNot gradedqualityDmaintenanceMCP server for Langfuse Prompt Management that enables listing and retrieving Langfuse prompts via MCP prompts and tools.MIT
- AlicenseNot gradedqualityAmaintenanceEnables prompt versioning, evaluation, and management via MCP, CLI, and REST APIs, with support for multiple LLM providers.MIT