连接
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Agent Proxy System

bysaminegash
0
开发者工具
数据科学与机器学习
API 开发

Manages Model Context Protocol (MCP) interactions with a central proxy, intelligent agent, and a suite of mock services for seamless AI development and integration.

关于

The Agent Proxy System provides a comprehensive Model Context Protocol (MCP) implementation designed to streamline AI development and integration. It features a central proxy server for routing MCP requests to various backend services, an intelligent AI agent equipped with Retrieval-Augmented Generation (RAG) capabilities, and a collection of production-ready mock MCP servers for common platforms like Filesystem, GitHub, Atlassian, and Google Drive. This system offers a scalable infrastructure to build, test, and demonstrate sophisticated AI applications leveraging the MCP standard.

主要功能

  • User-friendly web interface for agent interaction
  • Centralized MCP Proxy Server for routing requests
  • AI Agent with Retrieval-Augmented Generation (RAG) capabilities
  • Comprehensive testing suite with unit, integration, and E2E tests
  • 0 GitHub stars
  • Mock MCP Servers for Filesystem, GitHub, Atlassian, and Google Drive

使用案例

  • Integrating AI agents with diverse backend services via MCP
  • Building scalable MCP infrastructure for AI development and integration
  • Testing Model Context Protocol implementations and agent workflows
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