Model Context Protocol (MCP) is a standard for how AI models connect to external tools, data sources, and applications in a consistent way. At a high level, MCP solves a common problem: How does an AI model reliably access and use outside information or services while keeping things structured, secure and predictable. MCP defines a unified interface between and AI model and "context providers". Model = AI Model (Ex: ChatGPT) Context Providers = tools, APIs, databases, files, apps etc. Instead of every tool having its own custom integration, MCP standardizes how the model: Discover available tools Requests data or actions Received structured responses BTW - MCP was introduced by Anthropic in November 2024. Example: Let us discuss one example to understand MCP. Assume, we have below 5 data sources in our project. Confluence GitHub Websites Databases Filesystems For each of the above data sources, we need to write a wrapper to extract the data, and if we have hundred's and...