# Active MCP

> Use this tool when you need to integrate your Ruby on Rails application with AI tools, enabling seamless connectivity with minimal effort. Active MCP solves the problem of complex AI integrations, providing a simple interface to connect Rails apps to AI capabilities. It accepts Rails app data as input and outputs connected AI tool functionality, ideal for use cases requiring AI-driven enhancements in Rails applications.

Canonical page: https://skillsregistry.net/skills/facexiang-active-mcp  
JSON: https://api.skillsregistry.net/v1/skills/facexiang-active-mcp

## Description

A Ruby on Rails engine for the Model Context Protocol (MCP) that enables connecting Rails apps to AI tools with minimal effort.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c3s9uz06tu)
- **Repository:** <https://github.com/facexiang/active_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": "facexiang-active-mcp"
    }
  }
}
```

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