# MCP_Tools

> Use this tool when you need to query project details and documents using natural language. It solves problems related to information retrieval and project data access, providing a user-friendly interface to retrieve specific data through conversational inputs. The tool takes in natural language queries and outputs relevant project information and documents.

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

## Description

A NestJS app that exposes MCP-style tools backed by hardcoded JSON, allowing users to query project details and documents through natural language via Claude.

## Trust

- **Trust score (0–1):** 0.97
- **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/m3fm6m6o8l)
- **Repository:** <https://github.com/MagarongCandy/MCP_Tools>

## 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": "magarongcandy-mcp-tools"
    }
  }
}
```

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