Description
MCP Servers for AI Assistants
Supported Assistants: Junie, Windsurf, Firebender, Cursor, Claude Desktop, Claude Code, Continue.dev, Codex CLI
Discover, install, manage, and inspect Model Context Protocol (MCP) servers right inside your IntelliJ‑based IDE. This plugin provides a unified interface to enhance your AI assistants with modular, plug‑and‑play MCP capabilities.
Manage MCP configurations across 8+ AI assistants simultaneously — one control plane for all your tools.
Key Features
- All Transports — STDIO, SSE (legacy), and Streamable HTTP (MCP spec 2025-11-05) with auto-reconnect
- Public Catalog — Browse the MCP registry with filters by runtime and "new only" toggle, view metadata, and install servers with one click
- Flexible Configuration — Tweak parameters, environment variables, URLs, headers, and transport type with built-in validation
- MCP Inspector — Connect via STDIO, SSE, or Streamable HTTP, discover tools, preview JSON Schemas, and autofill request payloads
- Tool Runner Editor — Open a dedicated editor to iterate on tool calls interactively and keep runnable snippets
- Execution History — Track all tool calls with timing, export as Python/TypeScript/cURL code snippets
- Usage Statistics — Monitor server usage, success rates, and performance metrics per tool
- Multiple Assistants — Manage per‑IDE and per‑project settings for Junie, Windsurf, Firebender, Cursor, Claude Desktop, Claude Code, Continue.dev, and Codex CLI
- Team Configuration — Share MCP server configs with your team via repository (.mcp/team.json)
- Bulk Import/Export — Export all server configurations to JSON and import them on another machine or share with team
Getting Started
- Open the MCP Servers tool window to install and configure servers.
- Open the MCP Inspector tool window to connect, explore tools, and run interactive calls.