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Zenith Lab
AI and LLMsComing soon

MCP Servers & AI Tool Integration

Build and ship real Model Context Protocol servers: the actual integration layer connecting AI agents to tools, data, and systems in production right now.

What you'll actually do
  • Build a real, runnable MCP server from scratch
  • Expose resources, tools, and prompts through the protocol
  • Scope tool permissions so an agent can't overreach
  • Connect an agent client to your own MCP server
  • Debug, version, and deploy an MCP server
Tools and topics covered
MCP ProtocolTool IntegrationAPI DesignAuth & ScopingDeployment
Why it matters

MCP standardizes how an AI agent discovers and calls tools, instead of every integration inventing its own function-calling format.

A tool with over-broad permissions is the most common way an agent ends up doing something it shouldn't.

Career Path Edition

A real MCP server solving an actual integration problem, connected to a live agent, the kind of concrete build employers are asking for right now.

Not open for enrollment yet. Join the waitlist.

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