Model Context Protocol
211 episodes · Page 4 of 9
#4450: Intercepting Claude Code: The Proxy Ecosystem
How middleware proxies intercept, reroute, and transform AI tool traffic — and what it means for users.
#4167: Why AI Can’t Read Your Gmail (Yet)
Your AI misses emails and fails to send replies. It’s not dumb—the pipes are leaky.
#3755: Hermes vs OpenClaw: Mobile-to-Server AI Frameworks
Why developers are leaving OpenClaw for Hermes—and why mobile-to-server AI interaction remains unsolved.
#3751: Source-Restricted vs. Open Retrieval: How to Lock Down Your LLM
When should an LLM be locked to specific documents, and when should it search the web? A practical framework for grounding decisions.
#3483: When AI Agents Invent Their Own Secret Language
From modem screech experiments to drone coordination — how AI agents learned to talk without us.
#3424: Catching Up on AI Without the Firehose
Four curated sources that filter AI noise into signal — Import AI, The Batch, Stanford HAI, and a podcast.
#3284: Agent Infrastructure Engineer: The New DevOps
Agentic AI is splintering into real engineering disciplines. Here's what the "DevOps of AI" actually does.
#3271: LLMs as Parsers, Not Calculators
Stop letting LLMs do math. Use them to parse messy text, then let deterministic code handle the numbers.
#2690: Where Agent Builders Actually Gather
The MCP community, A2A protocol, and Linux Foundation are building the professional identity of agentic AI right now.
#2689: Why CLI Beats MCP for AI Agents Sometimes
Why a plain command-line tool can outperform a purpose-built MCP server for AI agents — and what that means for the protocol's future.
#2684: When Agent Skills Collide: Context Windows & Plugin Design
How to handle overlapping agent skills and whether context windows will ever make the problem go away.
#2683: MCP vs Agent Skills: Context Wars
When 12M token windows arrive, do MCP servers or agent skills win? Plus: federated access for agent teams.
#2674: Why Your Agent's Context Window Is Getting Eaten Before You Start
Stop shipping the whole toolbox to every session. A bridge plugin pattern that fetches skills on demand instead.
#2567: Beyond Pixels: Controlling Apps Without Vision
How MCP agents can use accessibility APIs and COM to control Windows and macOS apps at the protocol level.
#2551: How Progressive Disclosure Saves MCP from Token Bloat
Why dumping all tool schemas into context breaks accuracy — and three implementations that fix it.
#2541: Agent-to-Agent Scheduling: Building the Calendly for AI
How Google's A2A protocol and Anthropic's Remote MCP could power a new kind of agent handoff for scheduling meetings.
#2540: Does Your AI Framework Change the Output?
Same model, same prompts, different harness. Does the plumbing change the water?
#2535: Inside LangChain's Deep Agents: What's Actually in the Box
A deep dive into the batteries-included agent harness with terminal CLI, sub-agents, and production-ready evaluation.
#2492: When AI Agents Collapse Stack Evaluation from Weeks to Seconds
How Claude Code and agentic AI are turning GitHub into a discovery layer and collapsing library evaluation from weeks to seconds.
#2478: MCP File Handling: Why Your Base64 Upload Breaks at 4MB
MCP has no standard file input. Base64 breaks at 4MB, presigned URLs need whitelisting, and MinIO workarounds aren't standardized.
#2472: When Guardrails Break: The Hidden Costs of AI Gateway Filtering
PII detection at the gateway layer can block legitimate invoices. Here's how guardrails actually work and where they fail.
#2469: Embedding Model Deprecation: RAG's Silent Killer
When OpenAI retires an embedding model, your RAG pipeline breaks silently. Here’s how to fix it.
#2459: Drizzle vs Prisma: Which ORM Wins for AI-Native Backends?
Comparing Drizzle and Prisma for AI-native backends, MCP servers, and the future of agent-centric development.
#2442: Why Enterprises Choose AWS Bedrock Over Direct AI APIs
The real reasons behind the cloud intermediary's dominance in enterprise AI inference.