An astronaut overseeing a futuristic data hub
Download PDFMarkdown Version

Connect Langfuse Trace URL Extractor to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn raw JSON logs into direct observability links.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Langfuse.

  1. 01

    Extract trace identifiers

    Pulls specific trace and project IDs out of a Langfuse JSON payload.

  2. 02

    Validate payload schema

    Checks if a JSON payload has all the required fields needed for Langfuse processing.

  3. 03

    Construct langfuse URL

    Creates a direct link to a specific trace in the Langfuse Cloud dashboard.

Real work

What teams actually run

01

Rapid Debugging

You paste a log snippet into your AI client and get a direct link to the trace in Langfuse.

02

Log Validation

You check if a new log format is compatible with Langfuse before deploying it.

03

Automated Trace Mapping

Your agent maps raw JSON data to specific Langfuse project and trace identifiers.

04

CI/CD Log Analysis

You use the capability to verify that traces are being correctly captured during automated runs.

One connector, every AI

Langfuse works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Langfuse to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

678ms average. Fast in production.

Langfuse is checked daily against the live service.

Daily averagePeak 946ms
Oct 11Today
Fastest day
547ms
Slowest day
946ms
14-day trend
Slowing+73%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Langfuse, so you can see the experience inside your AI.

It does not authenticate your account with Langfuse. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Langfuse Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_mORUNaxsxJKt0DhLvO9C2dXdcem9Xgcsp3iXkEJx/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Langfuse capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "langfuse-trace-url-extractor-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_mORUNaxsxJKt0DhLvO9C2dXdcem9Xgcsp3iXkEJx/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Langfuse in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Langfuse owners hand off.

This MCP is built for engineers managing LLM observability and debugging production traces.

  • 01

    AI Engineers

    They hand off raw execution logs to the agent to find specific trace details.

  • 02

    DevOps Engineers

    They use the capability to validate log schemas and quickly jump to observability dashboards.

  • 03

    Backend Developers

    They use it to bridge the gap between application logs and Langfuse traces.

FAQ

Questions Langfuse owners ask.

  • 01

    What AI clients can I use with this MCP?

    You can use this MCP with any compatible client including Claude, Cursor, and Windsurf.

  • 02

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

  • 03

    Can this MCP validate my JSON logs?

    Yes, the validate_payload_schema capability checks if your JSON contains the necessary Langfuse fields.

  • 04

    How do I get to the Langfuse dashboard from my AI client?

    The construct_langfuse_url capability creates a direct link that you can click to open the specific trace in Langfuse Cloud.

  • 05

    Does this work with Langfuse Cloud?

    Yes, the capability is specifically designed to construct URLs for the Langfuse Cloud dashboard.

  • 06

    What does extract_trace_identifiers do?

    It parses a Langfuse payload JSON to extract the root id and project_id fields.

  • 07

    How do I generate a clickable link?

    Use the construct_langfuse_url capability with the extracted trace ID and project ID.

  • 08

    Can I verify if a payload is valid before processing?

    Yes, the validate_payload_schema capability checks for the presence of required keys.

Explore

More in Developer Tools

Suggestions

Connect Langfuse to Claude, Cursor, ChatGPT & more