# Langfuse MCP Server

> Use this tool when you need to monitor and optimize language model performance, as it provides a Model Context Protocol server for querying traces, analyzing accuracy, and detecting failures. The Langfuse MCP Server takes in model execution data as input and outputs insights on costs, latency, and prompt management. It is ideal for use cases where model observability and debugging are crucial, such as in machine learning development and deployment environments.

Canonical page: https://skillsregistry.net/skills/drishtantkaushal-langfusemcp  
JSON: https://api.skillsregistry.net/v1/skills/drishtantkaushal-langfusemcp

## Description

Model Context Protocol server for Langfuse observability. Query traces, analyze accuracy, detect failures, track costs, debug latency, manage prompts and datasets.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/m9ocs97n5l)
- **Repository:** <https://github.com/DrishtantKaushal/LangfuseMCP>

## 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": "drishtantkaushal-langfusemcp"
    }
  }
}
```

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