The AI company Anthropic, which was founded in 2021 by former OpenAI employees, has developed the Model Context Protocol (MCP) with the aim of standardizing communication between Large Language Models ...

Building and publishing Model Context Protocol (MCP) servers is a crucial step in allowing language models to interact seamlessly with external tools and resources. These servers act as intermediaries ...

Creating a custom Model Context Protocol (MCP) client using Gemini 2.5 Pro provides an opportunity to design a highly adaptable and efficient communication solution. By combining a robust backend, a ...

01. builder 比 user 还多，MCP 仅是「旧瓶装新酒」？ 一年过去，社区对于 MCP 的定位仍有争议？平均 25 个用户对应 1 个开发者，MCP 目前更多是开发者自娱自乐的产物？... MCP 大规模落地还得看下一个「微信小程序」入口的出现？... builder 比 user 还多，MCP 仅是「旧 ...

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...

GitHub has launched the GitHub MCP Registry, a curated registry of Model Context Protocol (MCP) servers with repositories on GitHub. The GitHub MCP Registry was launched September 16 with MCP servers ...

An MCP Server uses the Model Context Protocol (MCP) to link AI models with tools and data sources. These lightweight programs securely handle tasks like accessing files, databases, or APIs, enabling ...

An MCP Server is a simple program that lets AI models securely access data and tools using the Model Context Protocol (MCP). FastMCP is a Python framework that helps you build MCP servers and clients.