# langfuse-mcp

> langfuse-mcp — avivsinai-langfuse-mcp. Use this tool when you need to enhance debugging and observability in AI systems, as it enables agents to query Langfuse trace data through a Model Context Protocol (MCP) server. This tool solves problems related to tracing and debugging AI model performance, providing valuable insights through its query interface. It accepts model-related queries as input and outputs relevant trace data, ideal for use cases where in-depth model analysis is required.

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

## Description

A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](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-langfuse-mcp"
    }
  }
}
```

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