JetBrains MCP Server – Connect Your IDE to AI Agents with Live Context

JetBrains MCP Server

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Seamlessly integrate JetBrains IDEs with LLM agents using the Model Context Protocol (MCP)

Published: 3/July/2025 Views: 258

What is JetBrains MCP Server

The JetBrains MCP Server brings the power of JetBrains IDEs to the era of intelligent agentic workflows. Built by JetBrains, this server enables seamless communication between Model Context Protocol (MCP)-compatible agents and JetBrains’ suite of IDEs—including IntelliJ IDEA, PyCharm, WebStorm, and others.

Whether you’re developing with OpenAI’s Agent SDK, LangChain, or any other framework that supports MCP, this server empowers your agents to access the context-rich, structured environment of your IDE to enhance productivity, assist with code suggestions, and intelligently navigate projects.

Key Features of JetBrains MCP

  • Real-Time IDE Context Sync: Agents can access live project context—open files, structure, selected text, cursor position, and more.
  • Agent Integration: Easily integrates with any LLM framework that supports MCP.
  • Contextual Awareness: Agents can interact with your development environment using rich, semantically meaningful data.
  • Multi-IDE Support: Compatible with JetBrains IDEs via a dedicated IDE plugin.
  • Open-Source & Extensible: Hosted on GitHub and designed for customization and community collaboration.

Use Cases

  • Autonomous Coding Assistants: Let LLM agents suggest edits, refactor code, or navigate files based on active context.
  • Collaborative Pair Programming: Agents can co-edit files intelligently with real awareness of what the developer is working on.
  • Codebase Exploration: Agents can retrieve file trees, documentation, and references to answer coding queries in real time.
  1. Installation
    Clone the Repository

    git clone https://github.com/jetbrains/mcp-jetbrains.git
    cd mcp-jetbrains
  2. Run the Server
    Follow the README for instructions on running the server locally or integrating it with your preferred agent framework.
  3. Install the JetBrains Plugin
    Install the companion plugin in your JetBrains IDE for full connectivity.