The Model Context Protocol: Connecting AI to Everything
summary
MCP standardizes how agents call tools by exposing tools, resources, and prompts as servers so agents swap connectors (Asana↔Jira, Google Calendar, Confluence→Jira) instead of rebuilding them; Claude Code can oneshot server generation (demo: London bus API) and thousands of MCPs live on GitHub with some organizations running hundreds of internal servers. Security focuses on prompt injection defenses (model training + classifiers), registry-based discovery, code-generated client stubs, and real-world failures like an accidental prod DB drop.
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chapters (21)
- 0:00Model Context Protocol intro
- 1:04From LLM calls to agents
- 2:30Custom API integration challenges
- 3:53MCP standardizes API interactions
- 4:37Live MCP demo
- 5:40Building MCP servers
- 6:42MCP primitives tools resources prompts
- 7:43Advanced MCP features
- 8:25MCP server deployment quadrants
- 10:12MCP beyond web APIs
- 11:57Video editor MCP control
- 12:38MCP security risks
- 14:43Mitigating prompt injection
- 16:09Security and agent mistakes
- 17:11Agent identity delegation
- 18:55MCP agent-to-agent future
- 20:39The Model Context Protocol registry
- 22:05Agent tool discovery
- 23:30Models calling MCP tools
- 26:59Agent toolbox evolution
- 27:21Q&A
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