# Tecton

> Use this tool when you need to manage and interact with Tecton clusters and feature stores, solving problems such as executing CLI commands and retrieving configurations. It provides a user interface for listing workspaces and feature views, and outputs detailed configurations for data scientists and engineers. Ideal for use cases involving feature management and data engineering, this tool streamlines workflows and enhances productivity.

Canonical page: https://skillsregistry.net/skills/tecton-ai  
JSON: https://api.skillsregistry.net/v1/skills/tecton-ai

## Description

This MCP server implementation, developed by Anthropic for Tecton, provides tools for interacting with Tecton clusters and managing feature stores. It offers capabilities such as executing Tecton CLI commands, listing workspaces and feature views, and retrieving detailed configurations. The server is built using FastMCP and integrates closely with the Tecton SDK, making it particularly useful for data scientists and engineers working with Tecton's feature management platform.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tecton-ai)
- **Repository:** <https://github.com/tecton-ai/tecton-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": "tecton-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tecton-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tecton-ai/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