# JetBrains IDE

> Use this tool when you need to integrate Large Language Models (LLMs) with JetBrains IDEs for enhanced developer productivity. It provides a standardized interface for LLMs to interact with code editing, project management, and debugging functionalities, solving use cases such as intelligent code completion and automated refactoring suggestions. The proxy accepts LLM inputs and outputs standardized code interactions, ideal for context-aware documentation generation and AI-assisted coding within JetBrains development environments.

Canonical page: https://skillsregistry.net/skills/leobuskin-jetbrains-ide  
JSON: https://api.skillsregistry.net/v1/skills/leobuskin-jetbrains-ide

## Description

This MCP JetBrains Proxy, developed by Leonard Buskin, provides a bridge between Large Language Models (LLMs) and JetBrains IDEs. Built with Python and leveraging libraries like aiohttp, it offers a standardized interface for LLMs to interact with JetBrains development environments. The proxy abstracts the complexities of IDE communication, enabling AI assistants to seamlessly integrate with code editing, project management, and debugging functionalities. It's particularly valuable for enhancing developer productivity, facilitating use cases such as intelligent code completion, automated refactoring suggestions, and context-aware documentation generation within JetBrains IDEs.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/leobuskin-jetbrains-ide)
- **Repository:** <https://github.com/leobuskin/mcp_jetbrains_proxy>

## 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": "leobuskin-jetbrains-ide"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/leobuskin-jetbrains-ide` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/leobuskin-jetbrains-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