# langfuse-mcp

> Use this tool when you need to monitor and debug large language model (LLM) applications, as it provides a centralized server for querying traces, debugging exceptions, and analyzing sessions. The langfuse-mcp tool accepts inputs such as query requests and prompt datasets, and outputs detailed analytics and insights for optimized application performance. It is particularly useful in development and production environments where LLM application observability and management are crucial.

Canonical page: https://skillsregistry.net/skills/avivsinai-landfuse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/avivsinai-landfuse-mcp

## Description

MCP server for Langfuse observability. Query traces, debug exceptions, analyze sessions, and manage prompts and datasets for your LLM applications.

## Trust

- **Trust score (0–1):** 0.90
- **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/qwnhpqotp5)
- **Repository:** <https://github.com/avivsinai/langfuse-mcp>

## 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": "avivsinai-landfuse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/avivsinai-landfuse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/avivsinai-landfuse-mcp/pull`

---
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