# langfuse-mcp

> langfuse-mcp — hugoles-langfuse-mcp. Use this tool when you need to manage and synchronize language models with git version control, solving problems of model consistency and collaboration across teams. It integrates language models with git, accepting model inputs and producing synchronized outputs. Ideal for use cases requiring model versioning and change tracking in machine learning workflows.

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

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/hugoles/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": "hugoles-langfuse-mcp"
    }
  }
}
```

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