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Course Outline
The Protocol Anatomy
- Why function calling alone is inadequate for complex agent ecosystems
- MCP primitives: tools, resources, prompts, and their JSON schemas
- Lifecycle of an MCP session: initialization, tool listing, invocation, response, and shutdown
- Comparing MCP to OpenAPI and GraphQL for exposing capabilities to agents
Building a Stdio MCP Server
- Scaffolding a TypeScript MCP server using the official SDK
- Defining tool schemas with Zod and generating runtime validation
- Implementing tool handlers that interact with internal REST APIs or databases
- Managing errors, partial results, and long-running tool execution
Building an HTTP MCP Server
- Migrating from stdio to HTTP for remote deployment and load balancing
- Implementing authentication via bearer tokens and mTLS
- Managing graceful degradation during mid-session HTTP connection failures
- Deploying HTTP MCP servers behind Kong or nginx with rate limiting
Client Integration Patterns
- Registering an MCP server with Claude Code using the configuration file
- Connecting OpenClaude to multiple MCP endpoints concurrently
- Developing a custom Python agent client using the MCP Python SDK
- Gracefully handling runtime changes in tool availability
Resource and Prompt Exposure
- Exposing read-only resources for enriching agent context
- Creating parameterized prompt templates to guide agent reasoning
- Dynamically updating resources when underlying data changes
- Segregating mutable tools from immutable resources for clearer security boundaries
Internal Tool Registry and Discovery
- Constructing a company-wide MCP registry featuring metadata and ownership tags
- Enabling auto-discovery via DNS-SD or well-known endpoint files
- Versioning tools and deprecating old endpoints without disrupting clients
- Cataloging tools with natural language descriptions to enhance agent searchability
Enterprise Security Boundaries
- Implementing authorization checks within tool handlers based on agent identity
- Utilizing network segmentation to isolate high-risk tools from general agent access
- Sandboxing tool execution using seccomp and gVisor containers
- Logging every tool invocation for compliance and forensic analysis
Performance and Reliability Engineering
- Establishing timeout policies per tool family: database, compute, and external APIs
- Implementing circuit breakers when downstream services are unhealthy
- Caching tool results to minimize redundant expensive computations
- Deploying MCP servers as sidecars versus standalone microservices
Interoperability Across Agent Platforms
- Testing MCP server compatibility with Claude Code and Continue.dev clients
- Navigating transport negotiation differences between platforms
- Writing polyfill adapters for non-MCP agent frameworks
- Building a cross-platform tool marketplace within the organization
Evolving the MCP Ecosystem Internally
- Gathering developer feedback on tool usefulness and accuracy
- Conducting quarterly tool audits and pruning obsolete integrations
- Onboarding new teams with self-service MCP server templates
- Contributing improvements upstream to the open-source MCP specification
Requirements
- Programming proficiency in TypeScript or Python
- Familiarity with LLM tool calling and function-calling patterns
- Foundational networking knowledge: HTTP, WebSockets, and JSON-RPC
Target Audience
- Backend developers creating custom tools for AI agents
- Platform engineers standardizing AI agent access to enterprise systems
- Solution architects designing AI tool ecosystems for corporate adoption
14 Hours
