An agent without tools is just expensive autocomplete. The Model Context Protocol (MCP) standardizes how autonomous agents interface with databases, APIs, and operating systems. These guides cover architectural patterns for building low-latency local stdio transports, high-throughput Streamable HTTP and SSE gateways, and hardened tool schemas.
The central architectural benchmark establishing core patterns, failure modes, and governance for this cluster.
An agent with no tools is just expensive autocomplete. Wiring Model Context Protocol (MCP) into our local lab: building a custom SQLite inspection server, stdio transport, and avoiding the tool-selection trap.
While local stdio transports power desktop experimentation, enterprise multi-agent swarms require robust remote gateways. Here is the complete architectural guide to building production MCP servers with Streamable HTTP, scaling behind load balancers, and migrating from legacy HTTP+SSE.
More capability doesn't automatically mean more intelligence. Why unrestricted tool access breaks production agents, and the five architectural control patterns needed to build dependable systems.
Over 80% of tool-calling failures in AI agents stem not from model stupidity, but from loosely specified JSON schemas. Here is the engineering playbook for hardening tool schemas with discriminated unions, strict enum bounds, and runtime validation.
Eliminate hallucinations, brittle function calls, and cascading failures. Architectural patterns for schema hardening, permission boundaries, and evaluation loops.
Architectural blueprints for enterprise AI agents: supervisor-worker hierarchies, state machine routing, control governance, and multi-agent coordination.
