Model Context Protocol
211 episodes
#6491: Agent Skills Break When Secrets Leave Your Laptop
Cloud environments deliberately strip uncommitted dot-env files during session uploads, leaving agent skills without working credentials.
#6454: Choosing Between MCP Servers, Agent Skills, and CLIs
A controlled Arize evaluation found that bare Claude without an MCP or skill scored higher on correctness than curated tool stacks.
#6450: Securing MCP Endpoints and Webhooks Without Open Doors
Over half of all internet requests at one edge endpoint in a single day came from automated scanners probing for secrets.
#6425: Mapping Undocumented APIs Without Breaking Them
When documentation diverges from reality, a single GET request returning a 405 status code can cheaply prove an unlisted POST endpoint exists.
#6320: Who Sets Identity Standards for AI Agents
Drafts from authors across AWS, OpenAI, and Ping Identity argue AI agents should be treated as software workloads, not people.
#6294: Why Tool Calls Break Across Coding Models
Translating coding agents across providers fails when input schemas, user-role results, and tokenizer markers diverge.
#6289: Why Hermes and Pi Top the OpenRouter Coding Table
Hermes Agent and pi logged 1.66 trillion and 1.41 trillion tokens on OpenRouter, topping Claude Code despite fundamentally opposite designs.
#6286: Why Claude Code Replaced Vector Search with Grep
Claude Code creator Boris Cherny revealed early prototypes used local vector search before abandoning it for agentic grep.
#6284: Why Coding Agent Configurations Do Not Travel Well
Codex caps combined instruction files at 32 kibibytes, which can crowd out nested rules before an agent even starts work.
#6255: Routing Claude Code Tasks to Local Ollama Models
A feature request to support local subagent endpoints in Claude Code was closed for inactivity after less than two months.
#6235: When Your AI Agent Has Too Many Skills
Your agent has 55,000 skills installed — and it's spending the whole task just reading the menu.
#6203: How Claude Code Sessions Message Each Other
Two terminals, one machine: how Claude Code sessions find each other by name, pass messages, and subscribe to an idle ping.
#6146: Grounding Is Not Solved: DIY vs Gateway vs Native Search
Bolt-on search, gateway search, or native grounding? The plumbing didn't vanish — it just moved to someone else's bill.
#6123: OAuth or a Personal Access Token for Your MCP Server?
GitHub CLI login hands your agent one long-lived token with access to everything. Fine-grained PATs can't. Which should your MCP server use?
#6050: Codex vs Claude Code: What the Numbers Actually Count
Codex has more users, Claude Code has more revenue — both can be true. The difference is what each number is counting.
#6044: One Door for Every AI: Cloudflare MCP Portals
Cloudflare's MCP Portals put every on-prem MCP server behind one authenticated endpoint — and why service tokens can't work for ChatGPT.
#6037: Gemini 4 Argon: Google's Million-Token Flagship
A close read of Gemini 4 Argon's model card — a million-token window, thinking levels, implicit-only caching, and a lot of blanks.
#6033: Progressive Skills Discovery: When Bigger Context Windows Aren't Enough
Bigger context windows were supposed to make skill discovery moot. Here's why the listing budget still bites at scale.
#6009: Vertex AI Is Now the Gemini Agent Platform
Vertex AI just became the Gemini Enterprise Agent Platform. Here's the family tree, the five products, and when to actually move.
#6008: Why Codex Writes Code for a Dead API
Models don't hallucinate your API — they quote real docs from the wrong year. Here's why, and what actually fixes it.
#6007: What a $1M AI Inference Contract Actually Contains
The sticker price isn't the deal. Inside the commit floors, discount curves, and overage traps of enterprise AI contracts.
#5973: MCP Security: Tool Poisoning and Agent Identity
MCP servers trust their own tool descriptions. That design choice creates a whole new class of attack — and a new observability problem.
#5971: Personal CRM in 2026: Dex, Mesh, folk, Monica, Twenty
What actually makes a good personal CRM — and which ones can an AI assistant talk to?
#5957: The Scientific Plugins Hiding in Plain Sight
ChatGPT's plugin directory has 5,723 entries — but the real scientific AI work is happening in arXiv papers, not plugins.