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  • Model Context Protocol servers - GitHub
    This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community built servers and additional resources
  • Example Servers - Model Context Protocol
    This page showcases various Model Context Protocol (MCP) servers that demonstrate the protocol’s capabilities and versatility These servers enable Large Language Models (LLMs) to securely access tools and data sources
  • Model Context Protocol Servers Latest Documentation | Context7
    It allows users to search and retrieve data efficiently from their own documents, streamlining AI applications requiring document-based data retrieval
  • All MCP Servers | Model Context Protocol Resources
    Browse our collection of Featured MCP servers These implementations of the Model Context Protocol allow AI models to connect with external data sources and tools Our featured selection represents the most popular and well-maintained MCP servers
  • MCP Catalog | Model Context Protocol
    Explore MCP servers and implementations organized by category to find the perfect solution for your AI integration needs The Model Context Protocol provides a simpler, more reliable way to give AI systems access to the data they need Enable AI assistants to access relevant information from your systems to produce better, more accurate responses
  • Mastering Model Context Protocol (MCP): Building Multi Server MCP with . . .
    The Model Context Protocol (MCP) is rapidly becoming the prominent framework for building truly agentic, interoperable AI applications Many articles document MCP servers for single-server use, this project stands out as the starter template that combines Azure OpenAI integration with a Multi-Server MCP architecture on a custom interface, enabling you to connect and orchestrate multiple tool
  • Model Context Protocol - GitHub
    The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need
  • Model Context Protocol - Wikipedia
    Relationship between MCP client and server The Model Context Protocol (MCP) is an open standard, open-source framework introduced by Anthropic in November 2024 to standardize the way artificial intelligence (AI) systems like large language models (LLMs) integrate and share data with external tools, systems, and data sources [1] MCP provides a universal interface for reading files, executing




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