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Organized AI\n\nA TypeScript client for the Model Context Protocol

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A TypeScript client for the Model Context Protocol with support for managing multiple MCP servers, API keys, and tools

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Overview

Organized AI is a TypeScript client designed for the Model Context Protocol (MCP), enabling users to manage multiple MCP servers, API keys, and tools efficiently.

To use Organized AI, install the TypeScript client via npm, configure your MCP servers and API keys, and start utilizing the tools provided by the library in your TypeScript projects.

  • Support for managing multiple MCP servers - Easy configuration of API keys - Integration with various tools for enhanced functionality
  1. Developing applications that require interaction with multiple MCP servers.
  2. Managing API keys for different environments in a TypeScript project.
  3. Streamlining the integration of tools that work with the Model Context Protocol.

Add to your AI client

Use these steps to connect Organized AI\n\nA TypeScript client for the Model Context Protocol in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "organized-ai-jhillbht": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-organized-ai-jhillbht"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "organized-ai-jhillbht": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-organized-ai-jhillbht"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "organized-ai-jhillbht": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-organized-ai-jhillbht"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "organized-ai-jhillbht": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-organized-ai-jhillbht"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "organized-ai-jhillbht": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-organized-ai-jhillbht"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "organized-ai-jhillbht": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-organized-ai-jhillbht"
      ]
    }
  }
}

FAQ

What is the Model Context Protocol?

The Model Context Protocol is a standard for managing context in AI models, allowing for better organization and interaction.

Is Organized AI suitable for production use?

Yes, Organized AI is designed to be robust and can be used in production environments.

How can I contribute to Organized AI?

You can contribute by submitting issues or pull requests on the GitHub repository.

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