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Langfuse Official MCP Server

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Langfuse MCP Server for Prompt Management: access and manage your prompt library from AI assistants. Tools: getPrompt, listPrompts, createTextPrompt, createChatPrompt, updatePromptLabels. Built into Langfuse at /api/public/mcp (streamableHttp). LLM observability and analytics platform.

What is Langfuse?

Langfuse is a analytics and data insights platform that langfuse mcp server for prompt management: access and manage your prompt library from ai assistants. tools: getprompt, listprompts, createtextprompt, createchatprompt, updatepromptlabels. built into langfuse at /api/public/mcp (streamablehttp). llm observability and analytics comprehensive platform.. The official Langfuse MCP server enables AI agents to seamlessly interact with Langfuse's platform, allowing developers to leverage AI capabilities within their existing workflows and automate complex tasks that would otherwise require manual intervention.

This official MCP server is maintained and verified by Langfuse, ensuring reliability, security, and up-to-date functionality. Unlike community-maintained servers, this official integration provides long-term support, comprehensive documentation, and direct vendor assistance. The server is hosted on langfuse.com, guaranteeing secure and reliable access to Langfuse's services.

Whether you're building AI-powered applications, automating workflows, or enhancing your development tools, the Langfuse MCP server provides a standardized way to connect AI agents with Langfuse's extensive platform capabilities. This integration enables natural language interactions with Langfuse, making it easier than ever to leverage Langfuse's features through AI assistants like Claude, ChatGPT, and Cursor.

Installation Instructions

Installation Instructions
Add Langfuse to your MCP-compatible client
https://cloud.langfuse.com/api/public/mcp
Cursor logoCursor Instructions
1

Go to Settings → Cursor Settings

2

Click "Add new global MCP Server"

3

Paste the MCP configuration into mcp.json and restart

Install with Cursor

Or manually add to your mcp.json:

{ "mcpServers": { "langfuse": { "url": "https://cloud.langfuse.com/api/public/mcp" } } }

Langfuse MCP Server Capabilities

The official Langfuse MCP server enables AI agents to:

  • Query and analyze user behavior and product metrics
  • Generate reports and insights from analytics data
  • Track events and user interactions
  • Create custom dashboards and visualizations
  • Automate data analysis and reporting workflows
  • Access Langfuse's REST APIs and endpoints programmatically

These capabilities make it easy for AI agents to work with Langfuse as part of a larger automation strategy, enabling seamless integration between AI assistants and your existing tools.

Available Tools

The Langfuse MCP server provides 5 tools for AI agents to interact with the platform. Use the search below to find specific tools.

Tool NameDescription
createChatPromptCreate a new chat prompt version. OpenAI-style message format (system, user, assistant). Template variables in content. Optional labels, config, tags, commit message.
createTextPromptCreate a new text prompt version. Simple string content with {{variable}} template syntax. Optional labels, config, tags, commit message. Auto-increments version.
getPromptFetch a specific prompt by name. Optional label (e.g. production, staging, default production) and version. Returns compiled prompt with metadata and configuration.
listPromptsBrowse all prompts in your project. Optional filtering by name, tag, or label. Cursor-based pagination for large prompt libraries. Returns prompt metadata including versions and labels.
updatePromptLabelsManage labels across prompt versions. Move labels between versions (e.g. promote staging to production). Labels are unique per version. Cannot modify auto-managed 'latest' label.

Last updated: March 13, 2026 at 12:00 PM

Common Use Cases

Automated Workflow Management

AI agents can use the Langfuse MCP server to automate repetitive tasks and manage workflows within Langfuse's platform.

Data Retrieval and Analysis

The MCP server allows AI agents to query and retrieve data from Langfuse, enabling intelligent data analysis and insights.

Integration with Development Tools

Developers can integrate Langfuse capabilities directly into their AI coding assistants for seamless workflows.

Frequently Asked Questions

How do I get a Langfuse API key?

Visit https://langfuse.com, create an account, and generate an API key from your dashboard. Most tools offer a free tier to get started, making it easy to begin using the Langfuse MCP server.

Is this the official Langfuse MCP server?

Yes, this MCP server is officially provided and maintained by Langfuse. The endpoint https://cloud.langfuse.com/api/public/mcp is hosted on their official domain langfuse.com, ensuring reliability and security.

What permissions does Langfuse MCP need?

The Langfuse MCP server requires appropriate API credentials and permissions based on the operations you want to perform. Check the documentation for specific permission requirements.

Can I use Langfuse MCP with multiple clients?

Yes, you can configure the same MCP server across Cursor, Claude Desktop, Cline, and other MCP-compatible clients simultaneously. Each client maintains its own configuration.

Is Langfuse MCP server free?

The MCP server itself is free to use, but you may need a Langfuse account and API access, which may have its own pricing tiers. Check https://langfuse.com for current pricing information.

What can Langfuse MCP server do?

The Langfuse MCP server enables AI agents to analyze data and generate insights. Langfuse MCP Server for Prompt Management: access and manage your prompt library from AI assistants. Tools: getPrompt, listPrompts, createTextPrompt, createChatPrompt, updatePromptLabels. Built into Langfuse at /api/public/mcp (streamableHttp). LLM observability and analytics platform. This allows you to interact with Langfuse's platform through natural language commands in your AI assistant.

Troubleshooting

Connection Failed

Ensure your API key is correctly configured and your network allows outbound connections to langfuse.com. Verify that the MCP endpoint URL https://cloud.langfuse.com/api/public/mcp is accessible from your network.

Authentication Error

Verify your API key is valid and has not expired. Generate a new key from https://langfuse.com if needed. Make sure you're using the correct authentication method as specified in the documentation.

Server Not Responding

Check Langfuse's status page for any ongoing incidents. Try restarting your MCP client and verify that the server endpoint is correct. If issues persist, consult the official documentation or support channels.

Related MCP Servers

Explore other official MCP servers that work well with Langfuse:

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PagerDuty MCP server: manage incidents, services, schedules, event orchestrations, teams, status pages, and more from MCP clients. Read and write tools (use --enable-write-tools for write). Cursor, VS Code, Claude Desktop. Docker available.
Pendo MCP (beta): query visitor activity, event aggregation, Pages/Features/Track Events, application analytics, visitor and account metadata. Regional URL (US, US1, EU, Japan, Australia). OAuth; admin must enable in Pendo.

About Model Context Protocol

The Model Context Protocol (MCP) is an open standard that enables AI models to securely connect to external APIs, tools, and data sources. This official MCP server from Langfuse provides standardized access to their services, allowing AI agents to interact with Langfuse's platform seamlessly.

To manage all your MCP servers in one place, use Apigene's MCP Gateway, which provides centralized management, security, and governance for all your MCP server connections.

Learn more about MCP in our complete guide or browse our FAQ for common questions.

Server Information

Domain

langfuse.com

MCP Endpoint

https://cloud.langfuse.com/api/public/mcp