pip install langfuse-traces-mcp

# Clone the repository
git clone https://github.com/yourusername/langfuse-traces-mcp.git
cd langfuse-traces-mcp

# Install in development mode (includes test dependencies)
pip install -e ".[dev]"

{
  "mcpServers": {
    "langfuse-traces": {
      "command": "langfuse-traces-mcp"
    }
  }
}

Fetch the last 5 production traces from my Langfuse instance:
- Public key: pk-lf-abc123
- Secret key: sk-lf-xyz789
- Host: https://cloud.langfuse.com
- Environment: production
- Limit: 5

# Install dev dependencies (if not already)
pip install -e ".[dev]"

# Run all tests
pytest tests/ -v

# Run a specific test file
pytest tests/test_models.py -v
pytest tests/test_client.py -v
pytest tests/test_server.py -v

├── pyproject.toml                  # Project metadata & dependencies (v0.1.0)
├── README.md                       # This file
├── .gemini/
│   └── settings.json               # MCP server registration for VS Code
├── src/
│   └── langfuse_traces_mcp/
│       ├── __init__.py              # Version export
│       ├── server.py                # FastMCP server + 3 tool definitions
│       ├── client.py                # Async HTTP client for Langfuse API
│       └── models.py                # Pydantic models (filters, credentials)
└── tests/
    ├── conftest.py                  # Shared test fixtures & mock data
    ├── test_models.py               # Filter & credential validation tests
    ├── test_client.py               # REST client tests (mocked HTTP)
    └── test_server.py               # MCP tool integration tests