Integrate Langfuse (LLM Tracing & Evals) with Claude, Cursor, Chatbots & AI Agents MCP Server

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

Absolutely. The getdailymetrics 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.

Monitor LLM apps via Langfuse — track traces, manage prompt templates, and audit evaluation scores.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

create

Create observation on Langfuse (LLM Tracing & Evals)

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

create

Create score on Langfuse (LLM Tracing & Evals)

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

Get daily metrics on Langfuse (LLM Tracing & Evals)

Generate rolled-up USD cost and aggregated latency statistics

get

Get observation on Langfuse (LLM Tracing & Evals)

Retrieve explicit span or generation context within a trace

get

Get trace on Langfuse (LLM Tracing & Evals)

Get complete telemetry and nested graph for a single trace

list

List observations on Langfuse (LLM Tracing & Evals)

List raw observation objects spanning across traces

list

List prompts on Langfuse (LLM Tracing & Evals)

Extract actively managed prompt templates and versions

list

List scores on Langfuse (LLM Tracing & Evals)

List all explicit scores mapping quality or cost algorithms

list

List sessions on Langfuse (LLM Tracing & Evals)

List high-level user session entities encapsulating multiple traces

list

List traces on Langfuse (LLM Tracing & Evals)

List all traces tracking LLM API sessions

Security & Code Integrity Audit

Every tool in the Langfuse (LLM Tracing & Evals) MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Is there a risk of the AI "going crazy" and deleting important company data?

No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.

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.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

How Chatbots Interact with Langfuse (LLM Tracing & Evals)

Enable conversational interfaces like ChatGPT and Claude to execute programmatic commands against the Langfuse (LLM Tracing & Evals) infrastructure.

Next-Gen llm tracing Operations

The Langfuse (LLM Tracing & Evals) server exposes documented endpoints for llm tracing. This allows ChatGPT and Cursor to interact with friends mcp APIs seamlessly.

Scaling prompt management via MCP

Connect Langfuse (LLM Tracing & Evals) to provide your chatbots with prompt management capabilities. The integration manages the backend execution for friends mcp workflows.