Can I see the exact system instruction for a specific prompt version?

Yes. Use the `list_prompts` tool to browse your managed templates. Your agent can retrieve the exact text and variables for any deployed prompt version, making it easy to audit AI logic through natural conversation.

How do I log human feedback for a specific trace?

Use the `create_score` tool by providing the Trace ID and a JSON payload defining the score name (e.g. 'user-satisfaction') and value. Your agent will attach this structured data directly to the Langfuse record.

Can my agent report on my LLM spending for the current day?

Absolutely. The `get_daily_metrics` tool retrieves aggregated USD costs and average latency metrics from Langfuse. Your agent can summarize these statistics to help you monitor your infrastructure budget in real-time.

Langfuse (LLM Tracing & Evals) MCP Server for Claude Desktop 10 tools — connect in under 2 minutes

Name: Langfuse (LLM Tracing & Evals)
Availability: InStock
Author: Vinkius

modelcontextprotocol.io/quickstart/user

Built by Vinkius GDPR 10 Tools IDE

Claude Desktop is Anthropic's native application for interacting with Claude AI models on macOS and Windows. It was the first consumer application to ship with built-in MCP support, making it the reference implementation for the Model Context Protocol standard.

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Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Langfuse (LLM Tracing & Evals) and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "langfuse-llm-tracing-evals": {
      // Your Vinkius token — get it at cloud.vinkius.com
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Langfuse (LLM Tracing & Evals) MCP Server

Connect your Langfuse account to any AI agent and take full control of your LLM observability, prompt management, and quality evaluation through natural conversation.

Claude Desktop is the definitive way to connect Langfuse (LLM Tracing & Evals) to your AI workflow. Add the Vinkius Edge URL to your config, restart the app, and Claude immediately exposes all 10 tools in the chat interface — ask a question, Claude calls the right tool, and you see the answer. Zero code, zero context switching.

What you can do

Trace Orchestration — List and retrieve detailed traces of LLM API sessions, exposing latencies, token counts, and exact chained payloads directly from your agent
Prompt Vault Access — Query actively managed prompt templates and versions to inspect system instructions and expected input variables
Observation Analysis — Deep-dive into individual spans, events, and generations within a trace to pinpoint failures or performance bottlenecks securely
Evaluation & Scoring — Attach structured human feedback or automated evaluation metrics to specific traces to monitor model grounding and accuracy
Usage Metrics — Generate aggregated daily reports on USD costs and average latency to track your AI infrastructure spending in real-time
Session Monitoring — Extract correlated user sessions to understand multi-turn interaction boundaries and improve long-term agentic workflows

The Langfuse (LLM Tracing & Evals) MCP Server exposes 10 tools through the Vinkius. Connect it to Claude Desktop in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Langfuse (LLM Tracing & Evals) to Claude Desktop via MCP

Follow these steps to integrate the Langfuse (LLM Tracing & Evals) MCP Server with Claude Desktop.

Open Claude Desktop Settings

Go to Settings → Developer → Edit Config to open claude_desktop_config.json

Add the MCP Server

Paste the configuration above into the mcpServers section

Restart Claude Desktop

Close and reopen Claude Desktop to load the new server

Start using Langfuse (LLM Tracing & Evals)

Look for the 🔌 icon in the chat — your 10 tools are now available

Why Use Claude Desktop with the Langfuse (LLM Tracing & Evals) MCP Server

Claude Desktop by Anthropic provides unique advantages when paired with Langfuse (LLM Tracing & Evals) through the Model Context Protocol.

Claude Desktop is the reference MCP client — it was designed alongside the protocol itself, ensuring the most complete and stable MCP implementation available

Zero-code configuration: add a server URL to a JSON file and Claude instantly discovers and exposes all available tools in the chat interface

Claude's extended thinking capability lets it reason through multi-step tool usage, chaining multiple API calls to answer complex questions

Enterprise-grade security with local config storage — your tokens never leave your machine, and connections go directly to the Vinkius Edge network

Langfuse (LLM Tracing & Evals) + Claude Desktop Use Cases

Practical scenarios where Claude Desktop combined with the Langfuse (LLM Tracing & Evals) MCP Server delivers measurable value.

Interactive data exploration: ask Claude to query DNS records, look up WHOIS data, and cross-reference results in a single conversation

Ad-hoc security audits: type a domain name and let Claude enumerate subdomains, check DNS history, and flag configuration anomalies — all through natural language

Executive briefings: generate comprehensive domain intelligence reports by asking Claude to compile findings into a formatted summary

Learning and training: new team members can explore API capabilities conversationally without needing to read documentation

Langfuse (LLM Tracing & Evals) MCP Tools for Claude Desktop (10)

These 10 tools become available when you connect Langfuse (LLM Tracing & Evals) to Claude Desktop via MCP:

create_observation

Create a new LLM observation (span, event, generation) inside a trace

create_score

g. 1-5 stars) or automated pipeline metrics bounding exactly onto the specified Trace or Observation. Attach human feedback or evaluation metrics to a trace/observation

get_daily_metrics

Generate rolled-up USD cost and aggregated latency statistics

get_observation

Retrieve explicit span or generation context within a trace

get_trace

Get complete telemetry and nested graph for a single trace

list_observations

List raw observation objects spanning across traces

list_prompts

Extract actively managed prompt templates and versions

list_scores

List all explicit scores mapping quality or cost algorithms

list_sessions

List high-level user session entities encapsulating multiple traces

list_traces

List all traces tracking LLM API sessions

Example Prompts for Langfuse (LLM Tracing & Evals) in Claude Desktop

Ready-to-use prompts you can give your Claude Desktop agent to start working with Langfuse (LLM Tracing & Evals) immediately.

"List the last 5 traces in my Langfuse project"

"Show me the instructions for the 'customer-support-v3' prompt"

"What was our total LLM spending for today?"

Troubleshooting Langfuse (LLM Tracing & Evals) MCP Server with Claude Desktop

Common issues when connecting Langfuse (LLM Tracing & Evals) to Claude Desktop through the Vinkius, and how to resolve them.

Server not appearing after restart

Ensure the JSON is valid (no trailing commas). Check the file path: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\\Claude\\ (Windows).

Authentication error

Verify your Vinkius token is correct. Go to cloud.vinkius.com to regenerate it if needed.

Tools not showing in chat

Click the 🔌 icon at the bottom of the chat input. If it shows 0 tools, the server may still be connecting — wait a few seconds.

Langfuse (LLM Tracing & Evals) + Claude Desktop FAQ

Common questions about integrating Langfuse (LLM Tracing & Evals) MCP Server with Claude Desktop.

How does Claude Desktop discover MCP tools?

When Claude Desktop starts, it reads the claude_desktop_config.json file and connects to each configured MCP server. It calls the tools/list endpoint to fetch the schema for every available tool, then surfaces them as clickable options in the chat interface via the 🔌 icon.

What happens if the MCP server is temporarily unavailable?

Claude Desktop handles disconnections gracefully — if the server is unreachable at startup, the tools simply won't appear. Once the server becomes available again, restarting Claude Desktop will re-establish the connection. There is no timeout penalty or error loop.

Can I connect multiple MCP servers simultaneously?

Yes. You can add as many servers as you need in the mcpServers section of the config file. Each server appears as a separate tool provider, and Claude can use tools from multiple servers in a single conversation turn.

Is there a limit on the number of tools per server?

Claude Desktop can handle hundreds of tools per server. However, for optimal LLM performance, Vinkius servers are designed to expose focused, well-documented tool sets rather than overwhelming the model with too many options.

Does Claude Desktop support Streamable HTTP transport?

Yes. Claude Desktop supports both SSE (Server-Sent Events) and the newer Streamable HTTP transport that Vinkius uses. Simply provide the server URL — Claude auto-negotiates the transport protocol.