
mcp-jetbrainsA model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio
Overview
Key features
- Model Context Protocol (MCP) server
- Proxy server for client-IDE communication
- Support for multiple JetBrains IDEs
- Configuration options for logging and IDE connection
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
IDE Integration
Using the MCP server to enable communication between clients and JetBrains IDEs for development purposes.
External Client Connection
Configuring the MCP proxy for use with external clients or Docker containers, such as LibreChat or Cline.
Pros & Cons
Pros
- Enables communication between clients and JetBrains IDEs
- Supports various IDEs including IntelliJ, PyCharm, WebStorm, and Android Studio
- Facilitates usage with external clients or Docker containers
Cons
- No longer maintained
- Requires migration to built-in IDE functionality
- Dependent on specific Node.js version (18 or later)
Reviews
Sign in to leave a review.
No reviews yet. Be the first!
Q&A
Where can I find help for the built-in MCP functionality?
Refer to the official documentation and report issues or requests via JetBrains YouTrack.
Asked by Dovid Klein · Dec 14, 2025
What are the requirements for running mcp-jetbrains?
It requires Node.js version 18 or later.
Asked by Sarai Cohen · Nov 17, 2025
Is mcp-jetbrains still maintained?
No, it is no longer maintained as its core functionality has been integrated into all IntelliJ-based IDEs since version 2025.2.
Asked by Nour Khalil · Nov 11, 2025
What IDEs are supported by mcp-jetbrains?
It supports multiple JetBrains IDEs, including IntelliJ, PyCharm, WebStorm, and Android Studio.
Asked by Gustav Lindberg · Nov 12, 2025
Ask a question
MCP Servers alternatives

Open-source MCP server that lets LLMs drive real browsers via Playwright and accessibility snapshots.

Python agent framework from the Pydantic team for building type-safe GenAI apps.

Adaptive memory layer that helps AI agents learn from context over time.

AI email assistant that organizes, drafts replies, and helps you reach inbox zero faster.

Open-source 24/7 local screen and audio recording for building context-aware AI apps

TypeScript library for building and orchestrating AI agents with tools, memory, and multi-agent workflows.

Bringing the bankless onchain API to MCP

Python tool for converting files and office documents to Markdown.
Trending now

Accurate Homework Help with Full Explanations

Document intelligence API that parses, splits, OCRs, and extracts structured data from complex PDFs, slides, and spreadsheets.

Open multimodal 12B model handling interleaved images and text with a 128K context window.

Sponsored answers, paid per click.
