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adya-hackathon/adya_mcp_hackathon

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A comprehensive Model Context Protocol (MCP) platform providing standardized integrations between AI assistants and various services and APIs.

概览

A comprehensive Model Context Protocol (MCP) platform providing standardized integrations between AI assistants and various services and APIs. This repository contains both JavaScript and Python implementations of MCP servers and clients for seamless service integration. The Vanij MCP Platform enables AI assistants to interact with external services through a standardized protocol. It provides a unified interface for connecting to various APIs and services, making it easier to build sophisticated AI-powered applications. - : JavaScript and Python implementations - : Easy to add new MCP servers - : Consistent interface across all integrations - : Built with scalability and reliability in mind - : Detailed guides and API references - : Postman collections for easy testing - **208+ (for JavaScript implementation) - 3.8+ (for Python implementation) - or (for JavaScript dependencies) - (for Python dependencies) 1. : Follow the JavaScript Setup guide 2.

README

以下为原文 README 节选,完整内容请查看原文。

Vanij MCP Platform

🚀 MCP Integration Demo Video. (watch here)

A comprehensive Model Context Protocol (MCP) platform providing standardized integrations between AI assistants and various services and APIs. This repository contains both JavaScript and Python implementations of MCP servers and clients for seamless service integration.

📋 Table of Contents

🌟 Overview

The Vanij MCP Platform enables AI assistants to interact with external services through a standardized protocol. It provides a unified interface for connecting to various APIs and services, making it easier to build sophisticated AI-powered applications.

✨ Features

  • Multi-language Support: JavaScript and Python implementations
  • Extensible Architecture: Easy to add new MCP servers
  • Standardized Protocol: Consistent interface across all integrations
  • Production Ready: Built with scalability and reliability in mind
  • Comprehensive Documentation: Detailed guides and API references
  • Testing Tools: Postman collections for easy testing

📁 Project Structure

.
├── mcp_servers/
│   ├── js/                           # JavaScript implementation
│   │   ├── clients/                  # MCP clients
│   │   │   ├── src/
│   │   │   │   ├── client_and_server_config.ts  # Listed MCP Clients & Servers Configurations.
│   │   │   │   └── ...
│   │   │   ├── package.json   
│   │   │   └── ...
│   │   ├── servers/                  # MCP servers
│   │   │   ├── WORDPRESS/           # WordPress integration
│   │   │   ├── ZOOMMCP/             # Zoom integration
│   │   │   ├── SALESFORCE_MCP/      # Salesforce integration
│   │   │   ├── SLACK_MCP/           # Slack integration
│   │   │   └── etc...
│   │   └── package.json
│   └── python/                       # Python implementation
│       ├── clients/                  # MCP clients
│       │   ├── src/
│       │   │   ├── client_and_server_config.py       # Listed MCP Clients & Servers Configurations.
│       │   │   └── ...
│       │   ├── requirements.txt
│       │   └── ...
│       └── servers/                  # MCP servers
│           ├── MCP-GSUITE/          # GSuite integration
在 GitHub 查看完整 README

安装

This server does not publish a one-line install command.

Open the repository installation guide 新手?先看 mcpskill.org 教程 →