# mcp-ruby

> mcp-ruby — wilsonsilva-mcp-ruby. Use this tool when you need to establish secure, two-way connections between data sources and AI-powered tools, enabling seamless integration and exchange of information. The Model Context Protocol (MCP) facilitates this connection, allowing developers to expose data through MCP servers or build AI applications as MCP clients. Ideal for use cases requiring data integration, AI model training, and secure data exchange, with inputs including data sources and outputs comprising connected AI applications.

Canonical page: https://skillsregistry.net/skills/wilsonsilva-mcp-ruby  
JSON: https://api.skillsregistry.net/v1/skills/wilsonsilva-mcp-ruby

## Description

The Model Context Protocol is an open standard that enables developers to build secure, two-way connections between their data sources and AI-powered tools. The architecture is straightforward: developers can either expose their data through MCP servers or build AI applications (MCP clients) that connect to these servers.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/wilsonsilva/mcp-ruby)

## 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": "wilsonsilva-mcp-ruby"
    }
  }
}
```

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

---
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
