langfusepromptsdeveloper-toolsllm
Discovers Langfuse production prompts and compiles selected prompts for MCP clients.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
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Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
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Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Overview
Use cases
Discover production prompts from Langfuse in an MCP client
Retrieve a named Langfuse prompt with runtime variables
Compile text or chat prompts before using them in an agent workflow
Expose Langfuse prompts to clients that only support MCP tools
Key features
Lists production-labeled Langfuse prompts
Retrieves and compiles text and chat prompts
Supports cursor-based pagination
Implements MCP prompt discovery and retrieval
Provides get-prompts and get-prompt tool equivalents
Capabilities & Tool Schemas (2)
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Server Langfuse.
get-promptsList available prompts
get-promptRetrieve and compile a specific prompt
How MCP Server Langfuse works
What langfuse/mcp-server-langfuse MCP server does
langfuse/mcp-server-langfuse MCP server connects an MCP client to prompts stored in Langfuse Prompt Management. It supports prompt discovery and retrieval for both text and chat prompts, exposing the results through the MCP Prompts specification and through tools for clients without prompt-capability support.
The server is focused on reading and compiling prompts rather than editing them. Listing returns available prompt names and their arguments. Retrieval selects a prompt by name and applies the variables supplied by the client.
How it works
The MCP prompt interface provides prompts/list for discovery and prompts/get for retrieving a prompt. The server also exposes matching get-prompts and get-prompt tools. The tool form of retrieval requires a name and accepts an optional JSON arguments object containing prompt variables.
List operations can use a cursor for pagination. To determine the arguments associated with each prompt, the server fetches prompts individually in the background. Retrieved Langfuse text and chat prompts are transformed into MCP prompt objects, and supplied variables are used during compilation.
Only prompts carrying the production label are returned. The implementation treats all discovered arguments as optional, and argument descriptions are not included because Langfuse variables do not provide the specification required for them.
Setup and configuration
The repository is built locally with npm. Run npm install, then npm run build; the resulting entry point is build/index.js. An MCP client should launch that file with Node.js.
The server requires three environment variables: LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY, and LANGFUSE_BASEURL. The first two authenticate requests to Langfuse, while the base URL identifies the Langfuse endpoint. The README shows https://cloud.langfuse.com as the base URL example.
For Claude Desktop, add a server entry whose command is node, whose argument points to the built build/index.js, and whose environment contains the Langfuse credentials and base URL. Cursor can also run the server as a command with the same environment variables and Node.js entry point.
Tools and capabilities
get-promptslists available production prompts and supports an optional pagination cursor.get-promptretrieves and compiles one prompt using its requirednameand optional JSON variables.prompts/listprovides MCP-native prompt discovery with pagination support.prompts/getprovides MCP-native prompt retrieval for text and chat prompts.
The tool endpoints mirror the MCP prompt operations, which gives clients an alternative when they do not implement the prompt capability directly.
Limitations and notes
langfuse/mcp-server-langfuse MCP server is described as a work in progress. Prompt listing is less efficient because the server retrieves prompts individually to extract their arguments. Returned arguments are marked optional, and no variable descriptions are supplied. Prompt visibility is also restricted to entries labeled production; prompts without that label will not appear in discovery or retrieval results.
Related MCP Servers
Adoption & maintenance
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GitHub stars
174
Stargazers on the source repository.
Last commit
1y ago
Most recent push to the default branch.
Tools exposed
2
Callable tools this server registers over MCP.
Directory activity
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Frequently Asked Questions about MCP Server Langfuse
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CategoryDeveloper Tools
PricingBring your own API key (usage-based cost)
10/10 checks healthy over the last 33d
48Quality signal: Fair · 48/100How this signal is calculated ▾
Server availabilityNot measured
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Verified ownership6/20
Documentation & tools26/30
Adoption & activity4/15
Community engagement0/10
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Supply-chain signal
2 high-severity advisories on record for this package. Most advisories affect transitive dependencies and may not be exploitable in this server's actual usage — this is a directional signal, not a security audit.
Critical 1High 1Medium 0Low 0
Scanned 20d ago via OSV.dev · @modelcontextprotocol/inspector (npm)
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