JetBrains AI Assistant reads its servers from Settings | Tools | AI Assistant | Model Context Protocol. Of the 28 250 we track, 10 460 answer right now without any credentials, 0 sign you in through the browser and 1 323 want an API key you paste into the config. The blocks below are ready to paste — each is built from the address we actually reached, in the format this client expects.
Tools, then AI Assistant, then Model Context Protocol. No file to find on disk.
A remote server needs only its URL. If you already have a working config from another client, the dialog will read it as is.
The IDE shows what the server exposes once it connects. Empty list with the server marked as added usually means it wants credentials.
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Written from how JetBrains AI Assistant reads its config, not from its release notes.
Editor with the agent built in. Takes stdio, streamable HTTP and SSE, and can carry an OAuth login for each of the three.
Autonomous agent living inside VS Code. Handles local processes and remote endpoints over streamable HTTP or SSE, but authorisation is on you — through headers or environment variables.
Google's command-line agent. Takes all three transports and carries a full OAuth flow for remote servers, including service-account impersonation.
Open-source terminal agent. Local and remote servers sit in the same mcp object, told apart by a type field, and tokens are kept outside the config.
Adds servers by command, so nothing to edit by hand. Handles both local processes and remote endpoints, including OAuth logins.
Config sits in the project folder, so servers can differ per repository — useful when one project needs database access and another must not have it.
Works through GitHub Copilot's agent mode. Like Cursor, the config is per workspace rather than global.
The only client here that uses TOML rather than JSON, so a config copied from elsewhere will not work as is.
One global config for everything, so a server added here is available in every conversation.