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MCPAgentAI 🚀

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Python SDK designed to simplify interactions with MCP (Model Context Protocol) servers. It provides an easy-to-use interface for connecting to MCP servers, reading resources, and calling tools

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Overview

MCPAgentAI is a Python SDK designed to simplify interactions with Model Context Protocol (MCP) servers, providing an easy-to-use interface for connecting to MCP servers, reading resources, and calling tools.

To use MCPAgentAI, install it via PyPI with pip install mcpagentai, and then run it locally or in a Docker container. You can configure it to integrate with various tools like Twitter and ElizaOS.

  • Standardized Tool Wrapping: Simplifies the integration of diverse tools using the MCP protocol. - Flexible Use Cases: Easily add or remove tools based on requirements. - Pre-built Tools: Includes tools for Twitter management, cryptocurrency prices, weather information, and more.
  1. Automating social media interactions on Twitter.
  2. Fetching real-time cryptocurrency prices.
  3. Integrating with ElizaOS for enhanced automation capabilities.

Add to your AI client

Use these steps to connect MCPAgentAI 🚀 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": {
    "mcpagentai-mcpagents-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcpagentai-mcpagents-ai"
      ]
    }
  }
}

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": {
    "mcpagentai-mcpagents-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcpagentai-mcpagents-ai"
      ]
    }
  }
}

Claude Code

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

.mcp.json (project root)

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

VS Code (Copilot)

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

.vscode/mcp.json

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

Windsurf

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

~/.codeium/windsurf/mcp_config.json

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

Cline

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

Cline MCP Settings (via UI)

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

FAQ

**What is MCP?**

MCP stands for Model Context Protocol, a standard for context sharing across AI models.

**Is MCPAgentAI free to use?**

Yes! MCPAgentAI is open-source and free to use.

**Can I run MCPAgentAI in Docker?**

Yes! MCPAgentAI can be easily run in a Docker container.

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