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simon-ai

v1.2.3

Published

A Model Context Protocol server that provides claude-like command execution capabilities

Downloads

64

Readme

Simon MCP Server

A Model Context Protocol (MCP) server that provides a simple AI assistant tool.

Features

  • Simple AI Tool: Basic AI assistant functionality
  • Easy Integration: Simple npm package installation and MCP configuration

Installation

Option 1: Install from npm (Recommended)

# Install globally
npm install -g simon-ai

# Or use with npx (no installation required)
npx simon-ai

Option 2: Build from source

  1. Clone this repository:
git clone <repository-url>
cd simon-mcp
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

MCP Configuration

Add to your MCP client configuration:

{
  "mcpServers": {
    "simon": {
      "command": "npx",
      "args": ["-y", "simon-ai"],
      "env": {
        "SIMON_PROJECT_PATH": "/path/to/your/project"
      }
    }
  }
}

Usage

Available Tools

claude Tool

Simple AI assistant tool:

// Basic usage
claude({
  request: "Your request here"
})

Parameter Description

| Field | Type | Required | Description | |-------|------|----------|-------------| | request | string | ✅ | Your request content |

Configuration

Environment Variables

  • SIMON_PROJECT_PATH - Default project path for operations

Examples

Basic Usage

claude "Your request here"

With Project Mode (-p flag)

claude "查询武汉当前的天气情况" -p

Parameters

  • request (required): Your request content
  • project (boolean): Enable project mode - work within project context
  • projectPath (string): Specify custom project path
  • context (string): Additional context information
  • dryRun (boolean): Show what would be done without executing
  • verbose (boolean): Enable verbose output

Command Flags

  • -p: Project mode - work within project context
  • --project <path>: Specify project path
  • --context <info>: Additional context information
  • --dry-run: Show what would be done without executing
  • --verbose: Enable verbose output

Integration with MCP Clients

Once configured, you can use the claude tool in your MCP-enabled AI assistant with any request.

Development

Building from Source

git clone <repository>
cd simon-mcp
npm install
npm run build

Running in Development

npm run dev

Testing

# Test with MCP inspector
npx @modelcontextprotocol/inspector node dist/index.js

License

MIT

Contributing

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