Everyone designs loops. No one asks what the agent knows each tick.
Loop engineering's six building blocks are context primitives wearing new names. The scheduling is cron; what decides the outcome is the context on each tick.
#mcp-servers
16 posts tagged #mcp-servers.
Put the confirmation gate in the tool, not the UI.
A destructive-tool annotation plus a mid-call elicitation request gives you a human checkpoint that travels with the capability, whichever client is driving.
A missing parameter is the agent asking what only you know.
When a tool call lacks a parameter, the agent's two instincts - fail or guess - are both wrong. Have the server elicit the missing field against a schema.
Three control axes are sitting in the MCP spec. Most teams use one.
An MCP server exposes resources, tools, and prompts - context the app pulls, actions the model takes, workflows the user invokes. Most teams wire only one.
Stop describing your work to the agent. Hand it the diff.
Asking an agent to review what you say you did grades your spin, not your code. A small MCP server that reads the live diff grades reality instead.
Half your agent's 'hallucinations' never reached the prompt
Before you write another anti-hallucination instruction, split each wrong answer into a retrieval failure and a generation failure. They need opposite fixes.
Bootstrap a service you don't understand and you ship a black box.
Vibe-coding a service you have never touched traps you at the first failure. Point the agent at its docs over MCP and force it to teach you back.
Your smartest worker forgets every job the moment it ships.
Pairing an isolated subagent with the right tools and a slice of your conventions rebuilds the proven agent loop without dragging tool logs into your thread.
A legitimate MCP server with two trust levels is the exploit
The dangerous MCP server isn't the malicious one - it's the convenient all-in-one that reads untrusted data and holds privileged access to a second system.
Stop handing your agent the API key. Give it a phone, three numbers.
An MCP server is a trust boundary, not a passthrough. Hold every secret server-side and expose a curated verb set, so an injected agent is bounded by it.
Your agent says the delete worked. The proof is a sentence it wrote.
Give every consequential tool a declared output schema and validate at the boundary, so the UI gates on a real success boolean instead of the agent's prose.
The best prompt your team writes is the one nobody writes twice.
Ship your team's recurring workflows as server-side MCP prompts that pre-load their own data. A teammate types a slash command and the context is attached.
When your agent reads a webpage, that webpage can give it orders.
Prompt injection is a context-engineering problem. Fence untrusted tool output as data, run a guardrail hook, and cap the blast radius with permissions.
Adding a system to your agent should be a config line, not a codebase.
Hand-writing an adapter per external system is the contextless agent's biggest tax. An MCP server collapses the blowup into one connection, configured once.
Your Backlog Is the Prompt
Hand-passing one plan per run keeps you inside the loop doing task selection. Pipe your whole issue tracker in and let the agent pick the next ticket itself.
Your AI agent can't read your Jira. MCP is how you fix that.
MCP is the standard protocol for plugging external systems - issue trackers, databases, design tools - into AI agents. Here's what changes when you use it.