Which JetBrains IDEs support MCP servers?

MCP support is part of JetBrains AI Assistant, which ships with IntelliJ IDEA, WebStorm, PyCharm, GoLand, Rider, CLion, and other JetBrains IDEs at version 2025.1 or later. If the Model Context Protocol Servers option is missing, check that the AI Assistant plugin is installed and up to date.

Can I use the same MCP servers I configured in Cursor or VS Code?

Yes. Any server that works in Cursor or VS Code — whether installed via npx or as a local binary — works in JetBrains AI Assistant with the same command and arguments. The MCP protocol is identical across all compatible editors.

Why doesn't my server appear in the AI chat after I add it?

The most common causes are a command not found on PATH, an outdated IDE version that does not support MCP, or an expired API key in the Environment block. Try the full absolute path to node or npx in the Command field.

Does JetBrains support project-scoped MCP config like Cursor?

Not currently. JetBrains AI Assistant reads MCP config from a global location tied to the IDE installation, not a per-project file you can commit to the repo. Document the setup in the project README for team sharing.

How to Add an MCP Server in JetBrains

JetBrains AI Assistant supports MCP servers in version 2025.1 and later — available in IntelliJ IDEA, WebStorm, PyCharm, GoLand, and other JetBrains IDEs. Add a server under Settings → Tools → AI Assistant → Model Context Protocol Servers, fill in the command and arguments, then click OK. The IDE starts the server process immediately and its tools appear in the AI chat panel.

JetBrains AI Assistant supports MCP through a built-in settings panel. Here is the exact path, a working example, and how to confirm the server is connected in the AI chat panel.