MCP Server

An MCP server implementation that integrates with AI APIs, providing web search capabilities through a single, easy-to-use tool.

Features

• AI Integration: Direct integration with AI models via API
• Web Search: AI models can search the web for current information using the built-in web search tool
• Single Tool Interface: Simple ai_model tool that accepts any prompt
• Flexible Transport: Supports both STDIO and HTTP transports
• Production Ready: Includes Docker support and proper error handling

Tools

• ai_model
  • Sends prompts to AI models with web search capabilities
  • Inputs:
    • prompt (string): The prompt or question to send to the AI model
    • maxTokens (number, optional): Maximum tokens to generate (default: 16384, max: 16384)

Configuration

Getting an API Key

1. Sign up for an API account
2. Generate your API key from the dashboard
3. Set the API_KEY environment variable

Usage with Claude Desktop

Add this to your claude_desktop_config.json:

NPX

{
  "mcpServers": {
    "mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server"
      ],
      "env": {
        "API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Docker

{
  "mcpServers": {
    "mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "API_KEY",
        "mcp-server:latest"
      ],
      "env": {
        "API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Usage with VS Code

For quick installation, use the one-click installation buttons below...

For manual installation, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON).

Optionally, you can add it to a file called .vscode/mcp.json in your workspace. This will allow you to share the configuration with others.

Note that the mcp key is not needed in the .vscode/mcp.json file.

NPX

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "api_key",
        "description": "API Key",
        "password": true
      }
    ],
    "servers": {
      "mcp-server": {
        "command": "npx",
        "args": ["-y", "mcp-server"],
        "env": {
          "API_KEY": "${input:api_key}"
        }
      }
    }
  }
}

Development

Prerequisites

• Node.js 18+
• npm or yarn
• API key

Installation

# Clone the repository
git clone <repository-url>
cd mcp-server

# Install dependencies
npm install

# Set your API key
export API_KEY="your-api-key-here"

Running the Server

STDIO Mode (for development)

npm run dev:stdio

HTTP Mode

npm run dev:http
# or
npm start

Building

npm run build

Example Usage

Once the server is running, you can use the ai_model tool with any prompt:

{
  "name": "ai_model",
  "arguments": {
    "prompt": "What are the latest developments in AI?",
    "maxTokens": 4096
  }
}

The AI model will automatically use web search when needed to provide up-to-date information.

API Reference

Tool: ai_model

Sends a prompt to an AI model with web search capabilities.

Parameters:

• prompt (string, required): The prompt or question to send to the AI model
• maxTokens (number, optional): Maximum tokens to generate (default: 16384, max: 16384)

Returns:

• AI model's response as text, potentially including information gathered from web search

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Support

For issues and questions, please open an issue on the GitHub repository.