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tecton-mcp

by tecton-ai

Server

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4.8 (120)

Tecton MCP Server

This is a Mission Control Protocol (MCP) server from Anthropic for Tecton that provides a set of tools to interact with Tecton clusters, manage feature stores, and execute Tecton CLI commands.

Features

The server provides the following MCP tools:

CLI Tools

  • tecton_cli_help: Get structured help information about available Tecton CLI commands
  • tecton_cli_execute: Execute Tecton CLI commands

Feature Store Management

  • list_workspaces: List all workspaces in the connected Tecton cluster
  • list_feature_views: List all feature views with their metadata
  • list_feature_services: List all feature services with their metadata
  • list_transformations: List all transformations with their metadata
  • list_data_sources: List all data sources with their metadata
  • list_entities: List all entities with their metadata

Configuration Tools

  • get_feature_service_configuration: Get detailed configuration of a feature service
  • get_feature_view_configuration: Get detailed configuration of a feature view
  • get_feature_view_code: Get the Python code definition of a feature view

Setup

Prerequisites

  • Python >=3.10 or compatible version
  • Tecton SDK installed and configured
  • Mission Control Protocol (MCP) installed

Installation

  1. Install required Python packages:
pip install httpx click cloudpickle
  1. Install Tecton SDK:
pip install tecton
  1. Install MCP:
pip install mcp

Configuration

Add the following to your MCP server configuration:

{
    "mcpServers": {
        "tecton": {
            "command": "/path/to/python",
            "args": [
                "--directory",
                "/path/to/tecton",
                "run",
                "tecton.py"
            ],
            "env": {
                "PYENV_VERSION": "3.9.11"
            }
        }
    }
}

Replace /path/to/python and /path/to/tecton with your actual paths.

Usage

Starting the Server

  1. First, ensure you have Tecton configured and logged in:
tecton login
  1. Then run the server using:
python tecton.py

The server will start and listen for MCP commands.

Using the Tools

All tools are available through the MCP interface. Here are some example uses:

  1. List all workspaces:
workspaces = await list_workspaces()
  1. Get feature view configuration:
config = await get_feature_view_configuration(name="my_feature_view", workspace="my_workspace")
  1. Execute a Tecton CLI command:
result = await tecton_cli_execute(command="workspace list")

Error Handling

The server includes comprehensive error handling:

  • All tools return empty lists or empty strings on failure
  • Errors are logged using the _err function
  • General operations are logged using the _log function

Dependencies

  • Core Python:

    • typing (built-in)
    • httpx
    • click
    • cloudpickle
  • Tecton:

    • tecton
    • tecton._internals
    • tecton.cli.cli
    • tecton_core
    • tecton_proto
  • MCP:

    • mcp.server.fastmcp
  • Local:

    • utils (containing _err, _log, and run_command)

Contributing

Feel free to submit issues and enhancement requests!

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