The Model Context Protocol (MCP) is an open standard, created by the AI company Anthropic, that enables seamless integration between AI models and local or remote data sources. It provides a universal way for AI agents to safely access your files, databases, and software tools without requiring custom code for every new integration.
Why Use MCP?
Instead of fragmented integrations, MCP allows you to build a server once and use it across various AI platforms. By using MCP-servers, you can:
Securely connect your private data to LLMs.
Standardize how tools and "functions" are exposed to the model.
Scale your AI capabilities by plugging into a growing ecosystem of pre-built servers.
External Documentation
Rather than maintaining a separate set of instructions, we refer our users directly to the documentation provided by Anthropic.
As the originators and primary maintainers of the MCP specification, Anthropic provides the most accurate and up-to-date technical reference. Using the official documentation ensures you are working with the latest security standards, SDK updates, and architectural best practices as the protocol evolves.
