MCP Tools Explained: How AI Agents Take Action
A practical guide to MCP tools, including schemas, discovery, execution, approvals, errors, and safe production design.
AI Agent Knowledge Library
Protocols & Interoperability
Standards and communication mechanisms that enable agents, tools, and external systems to discover, connect, exchange context, and collaborate, including MCP, A2A, AG-UI, and emerging protocols.
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Published resources
Knowledge library
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19 published articles
MCP Resources Explained: Giving Agents the Right Context
Understand MCP resources, resource URIs, templates, discovery, reading, subscriptions, and safe context selection.
MCP Lifecycle and Capability Negotiation
A current guide to MCP version compatibility, capability discovery, request metadata, feature use, and the transition from older handshakes.
MCP Prompts Explained: Reusable Workflows for AI Applications
A practical guide to MCP prompts, including discovery, arguments, message content, user control, safety, and design patterns.
MCP Security and Permissions
A practical security model for MCP trust boundaries, authorization, least privilege, approvals, external content, backend credentials, and auditability.
MCP Client Architecture
Understand how an MCP host manages dedicated clients, discovers server capabilities, applies policy, invokes operations, and handles failures.
MCP + A2A Production Architecture
A production architecture for combining MCP capability access with A2A specialist delegation while preserving policy, identity, tracing, and failure boundaries.
Building an MCP Server
A framework-neutral tutorial for designing, implementing, testing, securing, and deploying an MCP server over real backend systems.
A2A Agent Discovery and Agent Cards
Learn how A2A clients discover remote agents, read Agent Cards, match skills and interfaces, evaluate suitability, and begin an interaction.