# Langfuse

> Use this tool when you need to monitor and analyze AI system performance, particularly for tracking large language model (LLM) metrics over time. Langfuse provides a simple interface for AI assistants to access performance data, allowing for queries by time range and enabling informed decision-making. Ideal for use cases requiring LLM performance insights, Langfuse can be integrated into Node.js applications or used as a standalone CLI tool.

Canonical page: https://skillsregistry.net/skills/shouting-langfuse  
JSON: https://api.skillsregistry.net/v1/skills/shouting-langfuse

## Description

MCP Server for Langfuse provides a bridge between AI assistants and Langfuse analytics workspaces, enabling access to LLM performance metrics through a simple interface. Developed by Shouting Hsiao, this implementation allows AI models to query metrics by time range, making it valuable for monitoring and analyzing AI system performance. The server requires minimal configuration with Langfuse API credentials and can be used either as a standalone CLI tool or integrated directly into existing Node.js applications.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shouting-langfuse)
- **Repository:** <https://github.com/z9905080/mcp-langfuse>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shouting-langfuse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shouting-langfuse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shouting-langfuse/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt