Model Context Protocol

How AI agents can use tools.

Model Context Protocol: MCP defines how AI models access external capabilities — databases, APIs, file systems, and other tools. It's the bridge between the model's reasoning and the world's data.

• MCP Servers — Server implementations
• MCP Tools — Tool selection and adoption radar

Context

• AI Coding
• A2A Protocol — Agent-to-agent communication
• Agent Commerce — Transaction protocol
• Agent Frameworks

Questions

Which MCP server design decision — tool schema clarity, stateless versus stateful context, or authentication model — has the most impact on agent reliability in production?

• At what tool count does an MCP server become too complex for an agent to reliably select the right tool without additional routing logic?
• How does the MCP protocol change the architecture for multi-agent systems where agents need to delegate tasks to specialized subagents?
• Which MCP server capability — read access, write access, or external service integration — presents the most security risk if misconfigured?