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MCP Servers for JetBrains AI Assistant

JetBrains AI Assistant reads its servers from Settings | Tools | AI Assistant | Model Context Protocol. Of the 45 956 we track, 20 930 answer right now without any credentials, 0 sign you in through the browser and 3 303 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.

What 45 956 servers look like from JetBrains AI Assistant

8 438 more will not work with it at all
Work as is answering now, no credentials asked 20 930 45.5%
Browser sign-in you authorise once, the client keeps the session 0 0.0%
Need a key you paste a key from the vendor into the config 3 303 7.2%
Run locally installed from a package, nothing to reach over the network 14 907 32.4%
Not responding listed as active, answer nothing 6 816 14.8%
Availability, last 24 hours share of the 31 049 remote servers answering, hour by hour
24 hours agonow
20 930
work with no key
answering now and open to anonymous clients
0
sign in through the browser
you authorise once, the client keeps the session
3 303
need an API key
you paste a key from the vendor into the config
14 907
run on your machine
installed from npm or PyPI, no uptime to measure
6 816
listed but dead
skip these — the registry still calls them active

How to add a server to JetBrains AI Assistant

per IDE installation, shared across all open projects
Open the settings page

Tools, then AI Assistant, then Model Context Protocol. No file to find on disk.

Add a server or import one

A remote server needs only its URL. If you already have a working config from another client, the dialog will read it as is.

Check the tool list

The IDE shows what the server exposes once it connects. Empty list with the server marked as added usually means it wants credentials.

Servers to start with

all 45 956 in the catalogue →
Browser Use
by browser-use

Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.

1 553 680 installs/wk 7 tools answering
Playwright MCP
by microsoft

Playwright Tools for MCP

10 560 609 installs/wk local only
Firebase MCP
by firebase

Gives AI development tools Firebase-specific capabilities and expertise.

4 737 199 installs/wk local only
Storybook MCP Addon
by storybookjs

Help agents automatically write and test stories for your UI components.

3 446 933 installs/wk local only
Context7
by upstash

Up-to-date docs for AI agents

741 246 installs/wk 2 tools answering
Chrome DevTools MCP
by chromedevtools

MCP server for Chrome DevTools

1 865 622 installs/wk local only
color-space
by colorjs

Conversions across 221 color spaces, tested against cited sources: CSS strings, gamut, LUTs

1 240 890 installs/wk local only
Firecrawl MCP Server
by firecrawl

Firecrawl, the context API for AI agents: search, scrape, interact with the web, plus paper search.

168 149 installs/wk 3 tools answering
Hermoso
by hermoso-ai

AI marketing agent and AI ad generator: 1178 tools, usable alone. No model markup on Starter and up.

10 063 installs/wk 205 tools answering
Snyk
by snyk

Easily find and fix security issues in your applications leveraging Snyk platform capabilities.

786 011 installs/wk local only
Telnyx
by team-telnyx

Official TypeScript library for the Telnyx API

785 632 installs/wk local only
e2e
by tester-army

Open live web and mobile app sessions from an e2e project to inspect the app and try locators.

727 878 installs/wk local only
Browse all 45 956 servers the list is the same for every client — only the config differs

Things that trip people up with JetBrains AI Assistant

Written from how JetBrains AI Assistant reads its config, not from its release notes.

No config file to version
Settings live inside the IDE, so a server cannot be committed alongside the project the way it can with a file-based client.
No OAuth flow
Servers that require an interactive login are not reachable here. Ones taking a key in a header are fine.
Same settings across projects
The list belongs to the IDE installation, not to the project. Two projects needing different credentials for one service will collide.

Same servers, other clients

the servers are the same — the config format is not
Windsurf

Editor with the agent built in. Takes stdio, streamable HTTP and SSE, and can carry an OAuth login for each of the three.

~/.codeium/windsurf/mcp_config.json
Cline

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.

~/.cline/mcp.json
Gemini CLI

Google's command-line agent. Takes all three transports and carries a full OAuth flow for remote servers, including service-account impersonation.

~/.gemini/settings.json
OpenCode

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.

opencode.json in the project, or ~/.config/opencode/opencode.json
Claude Code

Adds servers by command, so nothing to edit by hand. Handles both local processes and remote endpoints, including OAuth logins.

run in your terminal
Cursor

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.

.cursor/mcp.json
VS Code

Works through GitHub Copilot's agent mode. Like Cursor, the config is per workspace rather than global.

.vscode/mcp.json
Codex

The only client here that uses TOML rather than JSON, so a config copied from elsewhere will not work as is.

~/.codex/config.toml
Claude Desktop

One global config for everything, so a server added here is available in every conversation. The file starts local servers; remote ones are added in the app under Settings → Connectors.

~/Library/Application Support/Claude/claude_desktop_config.json