# Rails Explorer

> Use this tool when you need to analyze and explore Rails applications, as it enables AI models to interact with project files, routes, models, and database schema. It solves problems such as navigating complex codebases and understanding application structure, providing inputs like project directories and outputs like schema information and code insights. Ideal for developers seeking AI-assisted Rails application analysis and exploration within their conversation interface.

Canonical page: https://skillsregistry.net/skills/rails-explorer  
JSON: https://api.skillsregistry.net/v1/skills/rails-explorer

## Description

Rails MCP Server provides a Ruby implementation that allows LLMs to interact with Rails projects through a standardized protocol. It enables AI models to browse project files, view routes, inspect models, and retrieve database schema information across multiple Rails applications. The server follows the XDG Base Directory Specification for configuration, includes tools for project navigation and codebase exploration, and integrates seamlessly with Claude Desktop through either an automated setup script or manual configuration. Particularly valuable for developers seeking AI assistance with Rails application analysis, understanding, and exploration without leaving their conversation interface.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rails-explorer)
- **Repository:** <https://github.com/maquina-app/rails-mcp-server>

## 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": "rails-explorer"
    }
  }
}
```

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