# Cursor IDE

> Use this tool when you need to integrate AI-powered coding support into your desktop development workflow, providing real-time code suggestions and completions within your existing IDE environment. It solves problems of decreased productivity and inefficient coding by offering context-aware assistance, taking in coding context as input and outputting relevant suggestions. Ideal for developers seeking to enhance their development experience with AI-driven capabilities.

Canonical page: https://skillsregistry.net/skills/buga-luga-cursor-ide  
JSON: https://api.skillsregistry.net/v1/skills/buga-luga-cursor-ide

## Description

This MCP implementation, developed by Buga-luga, provides seamless integration between Claude AI and desktop applications through Cursor IDE. Built with TypeScript and leveraging the Model Context Protocol SDK, it enables real-time AI assistance in development workflows, offering context-aware code suggestions and completions. The implementation focuses on enhancing productivity by bridging Claude's capabilities with desktop software, making it particularly useful for developers seeking AI-powered coding support within their existing IDE environment. It stands out by offering a TypeScript-based approach for improved type safety and developer experience.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/buga-luga-cursor-ide)
- **Repository:** <https://github.com/buga-luga/cursor-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": "buga-luga-cursor-ide"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/buga-luga-cursor-ide` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/buga-luga-cursor-ide/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