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Course Outline
The Protocol Anatomy
- Why function calling alone is insufficient for complex agent ecosystems in government operations
- MCP primitives: tools, resources, prompts, and their JSON schemas for government applications
- Lifecycle of an MCP session: initialize, list tools, call, return, shutdown for enhanced public sector governance
- Comparing MCP to OpenAPI and GraphQL for exposing capabilities to agents in a government context
Building a Stdio MCP Server
- Scaffolding a TypeScript MCP server with the official SDK for government use
- Defining tool schemas with Zod and generating runtime validation for robust public sector operations
- Implementing tool handlers that call internal REST APIs or databases to support government services
- Handling errors, partial results, and long-running tool execution to ensure reliability in government applications
Building an HTTP MCP Server
- Upgrading from stdio to HTTP for remote deployment and load balancing in government environments
- Implementing authentication using bearer tokens and mTLS for secure government operations
- Graceful degradation when HTTP connections fail mid-session to maintain public sector service continuity
- Deploying HTTP MCP servers behind Kong or nginx with rate limiting to enhance government security and performance
Client Integration Patterns
- Registering an MCP server with Claude Code using the configuration file for seamless government integration
- Connecting OpenClaude to multiple MCP endpoints simultaneously to support diverse government needs
- Writing a custom Python agent client using the MCP Python SDK for flexible government applications
- Gracefully handling tool availability changes at runtime to ensure robust public sector operations
Resource and Prompt Exposure
- Exposing read-only resources for agent context enrichment in government systems
- Creating parameterized prompt templates that guide agent reasoning in public sector tasks
- Updating resources dynamically when underlying data changes to maintain accuracy in government operations
- Separating mutable tools from immutable resources for security clarity in government environments
Internal Tool Registry and Discovery
- Building a company-wide MCP registry with metadata and ownership tags for comprehensive government tool management
- Auto-discovery via DNS-SD or well-known endpoint files to streamline public sector operations
- Versioning tools and deprecating old endpoints without breaking clients in government applications
- Cataloging tools with natural language descriptions for agent searchability in the public sector
Enterprise Security Boundaries
- Implementing authorization checks inside tool handlers based on agent identity to ensure government security
- Using network segmentation to isolate high-risk tools from general agent access in government networks
- Sandboxing tool execution with seccomp and gVisor containers for enhanced public sector security
- Logging every tool invocation for compliance and forensic analysis in government operations
Performance and Reliability Engineering
- Setting timeout policies per tool family: database, compute, and external APIs to optimize government performance
- Implementing circuit breakers when downstream services are unhealthy to maintain public sector reliability
- Caching tool results to reduce redundant expensive computations in government applications
- Running MCP servers as sidecars versus standalone microservices to support flexible government architectures
Interoperability Across Agent Platforms
- Testing MCP server compatibility with Claude Code and Continue.dev clients for seamless government integration
- Handling transport negotiation differences between platforms to ensure smooth public sector operations
- Writing polyfill adapters for non-MCP agent frameworks to support diverse government needs
- Building a cross-platform tool marketplace inside the organization for comprehensive government resource management
Evolving the MCP Ecosystem Internally
- Collecting developer feedback on tool usefulness and accuracy to improve public sector operations
- Running quarterly tool audits and pruning obsolete integrations to maintain efficient government services
- Onboarding new teams with self-service MCP server templates to facilitate government adoption
- Contributing improvements upstream to the open-source MCP specification to enhance public sector collaboration
Requirements
- Programming experience in TypeScript or Python
- Understanding of LLM (Large Language Model) tool invocation and function-calling patterns
- Basic networking knowledge, including HTTP, WebSockets, and JSON-RPC
Audience for Government
- Backend developers tasked with building custom tools for AI agents within federal agencies
- Platform engineers focused on standardizing how AI agents access and integrate with government enterprise systems
- Solution architects responsible for designing AI tool ecosystems to support the adoption of AI technologies in government operations
14 Hours
