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jetbrains/mcpProxy

by Various

A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio

J

MCP

jetbrains/mcpProxy

Added 1 June 2026

#ide #intellij #jetbrains #mcp #mcp-server #pycharm

Overview

jetbrains/mcpProxy is a Model Context Protocol server that enables AI assistants to interact with JetBrains IDEs like IntelliJ, PyCharm, WebStorm, and Android Studio. It bridges MCP-compatible clients with IDE features such as code navigation, refactoring, and file editing.

Best for

Best for
Developers using JetBrains IDEs who want to connect AI assistants for code automation

Use cases

  • Automating code refactoring across multiple files in a JetBrains IDE
  • Navigating and querying project structure via AI chat clients
  • Integrating external MCP tools with Android Studio workflows

Notes

jetbrains/mcpProxy is a Model Context Protocol server that enables AI assistants to interact with JetBrains IDEs like IntelliJ, PyCharm, WebStorm, and Android Studio. It bridges MCP-compatible clients with IDE features such as code navigation, refactoring, and file editing.

958 stars on GitHub. Last updated 2026-01-07. Licensed Apache-2.0.

Use cases

  • Automating code refactoring across multiple files in a JetBrains IDE
  • Navigating and querying project structure via AI chat clients
  • Integrating external MCP tools with Android Studio workflows

Pros

  • Direct integration with multiple JetBrains IDEs via a single proxy
  • Leverages MCP standard for compatibility with diverse AI clients
  • Open-source with active community and 950+ GitHub stars

Cons

  • Requires a running JetBrains IDE instance to function
  • Limited to JetBrains ecosystem; no support for other editors
  • JavaScript-based runtime may introduce latency for large projects

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Direct integration with multiple JetBrains IDEs via a single proxy
  • Leverages MCP standard for compatibility with diverse AI clients
  • Open-source with active community and 950+ GitHub stars

Cons

  • Requires a running JetBrains IDE instance to function
  • Limited to JetBrains ecosystem; no support for other editors
  • JavaScript-based runtime may introduce latency for large projects