# Rapidly-MCP

> Rapidly-MCP — exponentially-platform-rapidly-mcp. Use this tool when you need to quickly validate ideas and connect your AI agent to Rapidly, allowing you to test and refine concepts before building. It solves problems of unnecessary development time and resources by providing a testing ground for ideas. With git capabilities, it accepts code repositories as input and outputs validated concepts and feedback.

Canonical page: https://skillsregistry.net/skills/exponentially-platform-rapidly-mcp  
JSON: https://api.skillsregistry.net/v1/skills/exponentially-platform-rapidly-mcp

## Description

Connect Rapidly to your AI agent. Test the idea before you build it.

## Trust

- **Trust score (0–1):** 0.87
- **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/Exponentially-Platform/Rapidly-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": "exponentially-platform-rapidly-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/exponentially-platform-rapidly-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/exponentially-platform-rapidly-mcp/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