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Connect JetBrains IDEs so AI can code, navigate, and edit projects.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-jetbrains" yet — see the docs or source repo.
Connect to my currently open IntelliJ project, summarize the main modules and entry files, then refactor the user login logic into a separate service and explain which files you changed.
A project structure overview, the refactored code changes, and a summary of modified files.
Inspect the failing tests in my current PyCharm project, find the function causing the failure, apply a fix to the relevant code, and summarize the root cause.
The error diagnosis, the applied code fixes, and an explanation of the cause and solution.
In the current WebStorm project, generate frontend logic and component code for a todo module with add, delete, and toggle-complete actions, reuse the existing style, and list the new files created.
Feature code matching the existing project style, created file results, and brief integration notes.
Connect to Jupyter via MCP to run code and explore data interactively.
Build AI-native IDE products quickly with integrated MCP tool support.
Connect VSCode to MCP so AI can inspect code context in real time.
Connect Unity Editor with AI coding assistants for faster development and debugging.
Connect AI agents to control local JupyterLab for coding and analysis.
Execute commands in the current iTerm session for CLI and REPL assistance.