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How Coding Agents Work (and Their Limits)1 / 2

1 min lesson

MCP: one protocol, many systems

Use "MCP: one protocol, many systems" to explain each part and the role it plays.

Step 1 of 2

MCP: one protocol, many systemsModel Context Protocol

MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. is an open standard for exposing tools and data to an agent. Instead of every system inventing its own integration, a tool author writes one MCP server and any MCP-aware agent can call it.

Why MCP matters for DX
Standardizes
One protocol for tools, resources and prompts - so integrations compose instead of multiplying.
Decouples
Tool authors and agent builders work independently; the server doesn't care which agent calls it.
Extends Cursor
Connect the agent to a database, an internal API, a docs system, an issue tracker - without forking the editor.
Teaches well
A clean MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. server is a canonical demo: 'here's how to give the agent a new capability in 50 lines.'
Watch out

Tool reliability is where demos die on stage. A model will call a tool exactly as its schema and description imply - so a vague description, a sloppy schema or an unhandled error reads to the model as a broken or confusing capability. Most 'the agent went haywire' moments trace back to tool design, not the model. Tight schemas, honest descriptions and errors that explain what to do next are the difference between a demo that lands and one that flails.