# AI protocol

Model Context Protocol (MCP) .NET sample library, demonstrating how to use the MCP protocol to standardize the context interaction of large language models (LLMs) in .NET applications. It includes examples such as a YouTube subtitle extractor, supports flexible switching of LLM providers, and enables the construction of AI workflows.

The MCP portal is the official community platform for the Model Context Protocol, providing resources such as documentation, practical guides, server implementations, and tool integrations. It supports AI models to access external tools through the MCP protocol, covering a wide range of scenarios from database connections to multimodal applications.

MCP (Model Context Protocol) is a standardized protocol used to connect AI models with various data sources and tools, similar to the USB-C interface for AI applications. The project provides a guide for building a custom MCP server and demonstrates how to integrate it with Claude Desktop to achieve context-aware AI interactions.

This project is an educational implementation of an MCP server, demonstrating how to build an MCP server that can be integrated with multiple LLM clients. MCP is a standardized protocol for connecting AI models with different data sources and tools.

The Neon MCP Server is a server based on the Model Context Protocol (MCP) standard, used to connect large language models (such as Claude) with Neon database services and supports operating database projects, branches, table structures, and migrations through natural language.

A curated list of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers.

MCP (Model Context Protocol) is a standardized protocol for providing context connection between AI applications and LLMs, similar to the USB - C interface for AI applications. This project provides a guide for building a custom MCP server, supports integration with tools such as Claude Desktop, and enables access to local data sources and remote services.

MCP4Go is a Model Context Protocol (MCP) library implemented in Go language, aiming to simplify the development of AI applications and provide a complete protocol implementation and high-level abstraction.

The Model Context Protocol (MCP) is an open - source protocol released by Anthropic, aiming to solve the standardization problem of connecting large language models (LLMs) with external data sources and systems. It provides a structured framework that enables models to integrate and utilize external context, thereby expanding their capabilities and improving response accuracy. MCP supports functions such as knowledge expansion, external tool calls, and pre - written prompts.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover MCP server implementations in various fields, including databases, browser automation, cloud platforms, developer tools, fintech, security, etc. These servers enable AI models to securely interact with local and remote resources through a standardized protocol.

Go-MCP is a Go library that implements the Model Context Protocol (MCP), providing core functions for AI service development, including prompt, tool, and resource management, and supporting multiple transport protocols and unified response handling.

A model context protocol client based on TypeScript

This project is a practice project for the MIT Hack decentralized AI summit, demonstrating how to quickly set up a Claude MCP protocol service on Windows. It includes two examples: a weather application and an SQLite database, which respectively demonstrate government API data acquisition and bakery inventory management functions.

A curated list of high-quality remote MCP servers, focusing on official and well-maintained services to help developers discover reliable AI application services suitable for production environments.

Awesome MCP Servers is a carefully curated list that includes various implementations of Model Context Protocol (MCP) servers. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers. This list covers production-ready and experimental MCP servers, extending AI capabilities through file access, database connection, API integration, and other context services.