jetbrains/mcpProxy
by Various
A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio
MCP
jetbrains/mcpProxy
Added 1 June 2026
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
How to use
Install
which npx &>/dev/null && sudo ln -sf "$(which npx)" /usr/local/bin/npx Tested with
Claude Desktop, Cline, VS Code
Example client config
{\n "mcpServers": {\n "jetbrains": {\n "command": "npx",\n "args": ["-y", "@jetbrains/mcp-proxy"]\n }\n }\n} 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
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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