Model Context Protocol (MCP)

Understands MCP fundamentals: tool definitions, resource providers, and prompt templates. Integrates existing MCP servers into AI product workflows following established patterns.

Understands MCP architecture: client-server communication, capability negotiation, and transport layers. Configures MCP connections for LLM applications and tests basic tool invocations.

Builds custom MCP servers with tool and resource endpoints for product-specific data sources. Implements authentication flows, error handling, and user-facing tool selection interfaces.

Implements MCP servers with dynamic tool registration, streaming responses, and context management. Optimizes tool descriptions for LLM comprehension and handles multi-turn tool-use conversations.

Designs MCP-based platform architecture connecting multiple AI agents to enterprise data sources. Implements security sandboxing, rate limiting, and audit logging for production MCP deployments.

Designs scalable MCP infrastructure with server composition, tool orchestration, and fallback strategies. Implements protocol extensions for custom capabilities and mentors team on context window optimization with MCP tools.

Defines Model Context Protocol strategy at the team/product level. Establishes standards and best practices. Conducts reviews.

Defines Model Context Protocol strategy at team/product level. Establishes standards and best practices. Conducts reviews.

Defines Model Context Protocol strategy at the organizational level. Establishes enterprise approaches. Mentors leads and architects.

Defines Model Context Protocol strategy at organizational level. Establishes enterprise approaches. Mentors leads and architects.