@Beginnersluckwithashton
基本情報
A comprehensive MCP server for AI IDE integration
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"ai-ide-integration-mcp": {
"type": "http",
"url": "http://no-i-in-team-mcp.canadacentral.azurecontainer.io:8000"
}
}
}`language` (string), `code` (string)
`execute_code("python", "print('Hello, MCP!')")`
`path` (string)
`list_files(".")`
`path` (string)
`read_file("example.txt")`
`path` (string), `content` (string)
`write_file("example.txt", "Hello, MCP!")`
`pattern` (string), `path` (string)
`search_code("function", "src/")`
`operation` (string), `parameters` (object)
`git_operations("status", {})`
`task` (string), `context` (object)
`ai_collaboration("Analyze code", {"code": "..."})`
AI IDE Integration MCP Server is a comprehensive Model Context Protocol server that provides essential tools for AI-powered IDEs and developer assistants. It enables code execution across multiple languages, file management, code search, Git operations, and AI collaboration in a single, secure package.
Connect your AI assistant (Claude Desktop, Windsurf IDE, or Cursor) to the server’s URL (http://no-i-in-team-mcp.canadacentral.azurecontainer.io:8000) using an API key obtained by emailing the administrator. The server is already deployed on Smithery.ai and requires no local setup.
It provides a complete development environment interface through a unified API, rather than focusing on a single capability. This gives AI assistants multiple tools (code execution, file management, Git, search, collaboration) in one implementation with a single API key.
Email `your-email@example.com` with subject “MCP API Key Request” including your name and intended use case. You will receive a unique key within 24 hours.
Free tier keys are limited to 1,000 requests per day. Keys expire after 90 days and must be renewed by emailing the administrator.
The server integrates with Claude Desktop, Windsurf IDE, and Cursor. Connection details and step‑by‑step instructions are provided for each.
The server runs as a cloud‑based service (Azure container at the given URL) and is also described as available as a local server, though only cloud connection instructions are provided.
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