Complete Model Context Protocol (MCP) syllabus path — from local client configuration to remote SSE proxies and custom tool bindings.
Connect AI models with local databases, secure remote APIs, and sandboxed execution tools seamlessly.
Analyze context isolation problems, the manual integration bottlenecks, and the open standard solution architecture.
Explore Host-Client-Server components and trace JSON-RPC protocol layers over process channels.
Understand the three data primitives: template prompts, read-only context resources, and callable schema tools.
Study negotiation sequences, initialization handshake states, and process STDIO channel message frames.
Configure Claude Desktop config JSONs, write local Python servers, and decorate FastMCP tools.
Expose local servers to cloud networks using SSE HTTP streams, configure tokens, and restrict resource permissions.