Langfuse Trace URL Extractor Connector for AI agents.

Q: Does Langfuse Trace URL Extractor work with other observability tools?

This tool is specifically designed for Langfuse payloads. It will not work correctly with logs from other tracing platforms unless they use the same ID structure.

Q: Can Langfuse Trace URL Extractor help me validate my logs?

Yes, it includes a tool to check if your JSON data contains all the required fields needed for successful tracing and observability.

Q: What does extracttraceidentifiers do?

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

Q: How do I generate a clickable link?

Use the constructlangfuseurl tool with the extracted trace ID and project ID.

Q: Can I verify if a payload is valid before processing?

Yes, the validatepayloadschema tool checks for the presence of required keys.

3 live capabilities

Turn raw Langfuse logs into clickable dashboard links.

Live agent request Langfuse Trace URL Extractor / Connector

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AI Agent

Why people use Langfuse Trace URL Extractor

Stop hunting through JSON logs with Langfuse Trace URL Extractor

With this MCP, you just point your agent at the log. It finds the IDs and gives you the link. You click once and you are in the dashboard.

What Vinkius changes

You stop hunting for links and start debugging traces.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

Real-world use case 01

Found a broken trace in your logs?

Ask your agent to extract the ID and give you the link so you can see the error immediately.
Real-world use case 02

Checking if a new log format is compatible?

Use the validation capability to verify the schema against Langfuse requirements instantly.
Real-world use case 03

Automating error reports in CI/CD

Have your agent generate direct Langfuse links for every error found during automated testing.

Complete set · 3capabilities

The complete Langfuse Trace URL Extractor capability set.

These are the exact actions your AI can choose when you ask it to work with Langfuse Trace URL Extractor.

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through Langfuse Trace URL Extractor.

01 Capability
Extract trace identifiers
Pulls trace and project IDs out of raw JSON payloads so you do not have to hunt for them.
02 Capability
Validate payload schema
Checks if your JSON data actually contains the required fields before you try to process it.
03 Capability
Construct langfuse url
Generates a direct link to your Langfox Cloud dashboard for any specific trace.

Set up in minutes

One URL. Then ask Langfuse Trace URL Extractor to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Langfuse Trace URL Extractor from the conversation.

Choose your client

Live preview

Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_mORUNaxsxJKt0DhLvO9C2dXdcem9Xgcsp3iXkEJx/mcp

Step 01

Open Connectors

In Claude Web or Claude Desktop, open Settings and choose Connectors.
Step 02

Add the URL

Choose Add custom connector, name it Langfuse Trace URL Extractor, and paste the URL above.
Step 03

Turn it on in chat

Select +, open Connectors, and enable Langfuse Trace URL Extractor for the conversation.

ChatGPT · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP

https://edge.vinkius.com/vk_preview_mORUNaxsxJKt0DhLvO9C2dXdcem9Xgcsp3iXkEJx/mcp

Step 01

Open MCP settings

On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
Step 02

Add the URL

Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Langfuse Trace URL Extractor URL.
Step 03

Save and start

Save the connection and enable Langfuse Trace URL Extractor in your conversation. Desktop may ask you to restart once.

Cursor · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "langfuse-trace-url-extractor": {
      "url": "https://edge.vinkius.com/vk_preview_mORUNaxsxJKt0DhLvO9C2dXdcem9Xgcsp3iXkEJx/mcp"
    }
  }
}

Step 01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Step 02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens
Step 03

Save the file

Cursor will automatically detect the new Connector
Step 04

Start using Langfuse Trace URL Extractor

Open Agent mode in chat and ask: "Using Langfuse Trace URL Extractor, help me...". 3 tools available

VS Code Copilot · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "langfuse-trace-url-extractor": {
      "url": "https://edge.vinkius.com/vk_preview_mORUNaxsxJKt0DhLvO9C2dXdcem9Xgcsp3iXkEJx/mcp"
    }
  }
}

Step 01

Create MCP config

Create a .vscode/mcp.json file in your project root
Step 02

Add the server config

Paste the JSON configuration above
Step 03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Step 04

Start using Langfuse Trace URL Extractor

Ask Copilot: "Using Langfuse Trace URL Extractor, help me...". 3 tools available

Windsurf · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "langfuse-trace-url-extractor": {
      "url": "https://edge.vinkius.com/vk_preview_mORUNaxsxJKt0DhLvO9C2dXdcem9Xgcsp3iXkEJx/mcp"
    }
  }
}

Step 01

Open MCP Settings

Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Step 02

Add the server

Paste the JSON configuration above into mcp_config.json
Step 03

Save and reload

Windsurf will detect the new server automatically
Step 04

Start using Langfuse Trace URL Extractor

Open Cascade and ask: "Using Langfuse Trace URL Extractor, help me...". 3 tools available

Cline · IDE configuration

Official guide ↗

Advanced setup

{
  "mcpServers": {
    "langfuse-trace-url-extractor": {
      "url": "https://edge.vinkius.com/vk_preview_mORUNaxsxJKt0DhLvO9C2dXdcem9Xgcsp3iXkEJx/mcp"
    }
  }
}

Step 01

Open Cline MCP Settings

Click the Connectors icon in the Cline sidebar panel
Step 02

Add remote server

Click "Add Connector" and paste the configuration above
Step 03

Enable the server

Toggle the server switch to ON
Step 04

Start using Langfuse Trace URL Extractor

Ask Cline: "Using Langfuse Trace URL Extractor, help me...". 3 tools available

Claude Code · Terminal command

Official guide ↗

Advanced setup

claude mcp add langfuse-trace-url-extractor --transport http "https://edge.vinkius.com/vk_preview_mORUNaxsxJKt0DhLvO9C2dXdcem9Xgcsp3iXkEJx/mcp"

Step 01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed
Step 02

Add the Connector

Run the command above in your terminal
Step 03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session
Step 04

Start using Langfuse Trace URL Extractor

Ask Claude: "Using Langfuse Trace URL Extractor, show me...". 3 tools are ready

Where the request belongs

Work Langfuse can move forward.

Built around the request

The DevOps engineer or ML engineer who spends too much time parsing logs at midnight. It is for anyone managing LLM observability and tired of manual URL construction.

ML Engineer

Analyzing trace performance and latency patterns during model evaluation.

DevOps Engineer

Debugging production errors by quickly jumping from error logs to traces.

AI Developer

Verifying that prompt inputs and outputs match expected schemas in real-time.

Build the capability set

Each Connector adds new actions and data without changing how you work.

Browse Connectors

01 3 capabilities

OpenTelemetry Trace Latency Analyzer

Analyze OpenTelemetry traces to identify latency bottlenecks and critical path inefficiencies.

View Connector

02 5 capabilities

OpenReplay

Debug web applications by inspecting user sessions, technical events, and project data directly from your AI agent.

View Connector

03 3 capabilities

Highlight (Session Replay & UX)

Streamline observability by ingesting raw logs, OTLP logs, and OTLP traces directly into Highlight for session replay and UX monitoring.

View Connector

04 10 capabilities

Rollbar

Connect your AI assistant to Rollbar to identify active bugs, review stack traces, trace code deployments, and manage error lifecycles without leaving the chat.

View Connector

05 37 capabilities

Dynatrace (APM and Observability)

Monitor and manage your Dynatrace environment. query metrics, track problems, manage entities, and automate observability workflows directly from your AI agent.

View Connector

06 15 capabilities

Sentry

Monitor errors and application health via Sentry. query issues, inspect events, audit releases and check alert rules directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Langfuse connected.

Claude
ChatGPT
Gemini
Cursor
VS Code
Windsurf
ZCode
Cline
Zed
Continue
Kiro
Roo Code
Zencoder
Goose
Void
Augment Code
Amp
Qodo
Tabnine
Pieces
Sourcegraph Cody
JetBrains
Warp
Amazon Q
Antigravity
BoltAI
Raycast
Jan
LM Studio
AnythingLLM
Open WebUI
Msty
Cherry Studio
LibreChat
TypingMind
Chorus
5ire
n8n
LangChain
LlamaIndex
CrewAI
Vercel AI SDK

Before you connect

Questions about Langfuse.

The practical details behind the request, access and result.

How can I use Langfuse Trace URL Extractor to find errors faster?

You can point your AI agent at any raw log file. The MCP will automatically pull the trace IDs and provide a clickable link that takes you straight to the error in Langfuse Cloud.

Does Langfuse Trace URL Extractor work with other observability capabilities?

This capability is specifically designed for Langfuse payloads. It will not work correctly with logs from other tracing platforms unless they use the same ID structure.

Can Langfuse Trace URL Extractor help me validate my logs?

Yes, it includes a capability to check if your JSON data contains all the required fields needed for successful tracing and observability.

Do I need to manually set up anything for Langfuse Trace URL Extractor?

No setup is required beyond connecting the MCP via Vinkius. Once connected, your agent can immediately start parsing your existing logs.

Can this capability help me debug production LLM errors?

Absolutely. It bridges the gap between seeing an error in your production logs and viewing the full execution trace in your dashboard.

What does `extract_trace_identifiers` do?

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

How do I generate a clickable link?

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

Can I verify if a payload is valid before processing?

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

One connection away

Give your agent a direct line to Langfuse.

Connect Langfuse once. Keep it beside 6,100+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available

Stop hunting through JSON logs with Langfuse Trace URL Extractor

You stop hunting for links and start debugging traces.

Found a broken trace in your logs?

Checking if a new log format is compatible?

Automating error reports in CI/CD

Extract trace identifiers

Validate payload schema

Construct langfuse url

Open Connectors

Add the URL

Turn it on in chat

Open MCP settings

Add the URL

Save and start

Open MCP Settings

Add the server config

Save the file

Start using Langfuse Trace URL Extractor

Create MCP config

Add the server config

Enable Agent mode

Start using Langfuse Trace URL Extractor

Open MCP Settings

Add the server

Save and reload

Start using Langfuse Trace URL Extractor

Open Cline MCP Settings

Add remote server

Enable the server

Start using Langfuse Trace URL Extractor

Install Claude Code

Add the Connector

Verify the connection

Start using Langfuse Trace URL Extractor

ML Engineer

DevOps Engineer

AI Developer

OpenTelemetry Trace Latency Analyzer

OpenReplay

Highlight (Session Replay & UX)

Rollbar

Dynatrace (APM and Observability)

Sentry

Give your agent a direct line to Langfuse.