# rad quote MCP

> Use this tool when you need to create projects from uploaded files directly from AI assistants, streamlining project setup and eliminating manual file handling. It solves problems of inefficient project creation and integration with AI workflows, accepting uploaded files as input and producing project import jobs as output. Ideal for use cases where automated project creation from uploaded files is required, such as data processing and machine learning tasks.

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

## Description

Enables creating projects from uploaded files directly from AI assistants. Provides tools for obtaining upload URLs and creating project import jobs from previously uploaded files.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t00odbzg9t)
- **Repository:** <https://github.com/radquote/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": "radquote-mcp"
    }
  }
}
```

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