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Smart MCP Server

@reconsumeralization

关于 Smart MCP Server

The Smart MCP Server stands out from other tool orchestration or AI workflow systems in a few meaningful ways: Context Awareness: Unlike many workflow engines or tool servers that require explicit user input to select and run tools, Smart MCP Server automatically analyzes user m

基本信息

分类

其他

许可证

MIT

运行时

node

传输方式

stdio

发布者

reconsumeralization

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "smart-mcp-server": {
      "command": "node",
      "args": [
        "examples/gemini-example.js"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Smart MCP Server?

A sophisticated, context-aware Model Context Protocol (MCP) server with Agent-to-Agent (A2A) protocol compliance. It features intelligent workflow execution, secure token management, and comprehensive AI model integration including Google's Gemini models, OpenAI, and Anthropic. Designed for developers building AI-powered tools and multi-agent systems.

How to use Smart MCP Server?

Install Node.js v18+, npm v7+, and a Google Gemini API key. Clone the repository, run npm install, then npm run token:generate to generate MCP/A2A compliant tokens. Start the server with npm start (default port 3000). Use CLI commands for token management and API endpoints for workflow execution, tool integration, and status monitoring.

Key features of Smart MCP Server

  • Secure token management with AES-256-CBC encryption and auto-refresh
  • Multi-model AI integration: Gemini, OpenAI, and Anthropic
  • Advanced workflow system with dynamic loading and intelligent execution
  • Full MCP v1.0 and A2A v1.0 protocol compliance
  • Context-aware tool selection for optimal task execution
  • Built-in GitHub, Stripe, system health, and documentation tools

Use cases of Smart MCP Server

  • Automate data analysis pipelines using AI-powered workflows
  • Manage repository analytics and pull requests via GitHub integration
  • Monitor real-time system health and generate performance metrics
  • Coordinate multi-agent tasks using the A2A protocol
  • Consolidate and manage documentation across projects

FAQ from Smart MCP Server

What protocols does Smart MCP Server support?

MCP v1.0 (Model Context Protocol) and A2A v1.0 (Agent-to-Agent protocol).

What AI models are integrated?

Gemini 2.5 Pro, Gemini Pro, and embedding models; OpenAI GPT-4, GPT-3.5 Turbo, and embeddings; Anthropic Claude 3 Opus, Sonnet, and Haiku.

What are the prerequisites to run the server?

Node.js v18.0.0+, npm v7.0.0+, and a Google Gemini API key for AI features.

How do I generate MCP/A2A compliant tokens?

Run npm run token:generate. Additional CLI commands: token:refresh, token:validate, token:info, token:export.

What is the default port and how do I change it?

The server starts on port 3000 by default. Set the PORT environment variable to change it.

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