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by H1manshu01 • Uncategorized
Documentation for building and running Model Context Protocol (MCP) Servers to connect AI models with real-time data and business logic.
Securely access real-time context from external systems via defined capabilities.
Integrate AI models with business logic and tools in enterprise environments.
A standardized API bridge between AI models and internal systems.
This repository provides comprehensive developer documentation for MCP Servers, which act as secure backend interfaces exposing capabilities that allow large language models to request and consume real-time context from external systems. It serves as an API bridge between AI models and enterprise systems, enabling clean, secure, and AI-friendly integrations. The documentation covers setup, architecture, use cases, advanced topics, integration, testing, and more.