Model Context Protocol (MCP) - satyamsingh1004/LLM GitHub Wiki
The Model Context Protocol (MCP) is a standardized open-source framework, developed by Anthropic, that enables AI models like large language models (LLMs) to interact with external tools and data in a consistent, structured way. It essentially provides a universal connector for LLMs to interact with APIs, databases, and other business applications
MCP provides a common interface for AI models to access external resources, reducing the need for unique integrations for each tool
MCP follows a client-server model, where AI models (clients) send requests to external services (servers) that provide access to data and tools
the Model Context Protocol (MCP), a new standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments.
Instead of maintaining separate connectors for each data source, developers can now build against a standard protocol.
MCP provides a standardized way to connect AI models to different data sources and tools.
How it works
An AI model (client) sends a request to an MCP server, specifying the desired action and any required parameters.
The MCP server processes the request and returns the necessary information or data.
The AI model can then use the returned information to perform the requested task or integrate with the external tool.