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What is MCP? How AI Agents Connect to the World
What is MCP (Model Context Protocol) and why is every major AI platform adopting it? This animated explainer breaks down how MCP works, who's using it, and where it falls short.
MCP is the open standard that lets AI models like Claude, ChatGPT, and Gemini connect to external tools — databases, APIs, GitHub, Slack — through one universal protocol. Think of it as USB-C for AI. In this video, we cover the full architecture (hosts, clients, servers), the three core primitives (tools, resources, prompts), how MCP compares to function calling, real-world adoption from Cursor to AWS Bedrock, and the trade-offs you need to know about: token bloat, security risks, and performance overhead.
00:00 — Every AI platform now supports this protocol
00:37 — The N×M integration problem MCP solves
01:34 — How MCP works: architecture & handshake
03:25 — MCP vs function calling
04:00 — Who's using MCP in production
05:24 — Trade-offs: token bloat, security & latency
06:54 — Where MCP goes from here
📌 What is MCP (Model Context Protocol)?
MCP is an open protocol created by Anthropic and now governed by the Linux Foundation. It standardizes how AI applications discover and use external tools, collapsing the M×N integration problem into M+N. Backed by Anthropic, OpenAI, Google, Microsoft, and Amazon, MCP has 97 million SDK downloads per month and over 5,800 cataloged servers. It uses JSON-RPC 2.0, supports local and remote servers, and works across Claude Desktop, Cursor, ChatGPT, and more.
✅ Topics covered in this video:
• What MCP is and why it was created
• The N×M problem and how MCP solves it
• MCP architecture: hosts, clients, and servers
• Three primitives: tools, resources, and prompts
• MCP vs function calling — what developers miss
• Real adoption: Cursor, Claude, ChatGPT, AWS Bedrock
• Token bloat and context window inflation
• MCP security risks: prompt injection & tool poisoning
• Performance: 300–800ms latency per call
• When to skip MCP entirely
#MCP #ModelContextProtocol #AITools
Видео What is MCP? How AI Agents Connect to the World канала Devsplainers
MCP is the open standard that lets AI models like Claude, ChatGPT, and Gemini connect to external tools — databases, APIs, GitHub, Slack — through one universal protocol. Think of it as USB-C for AI. In this video, we cover the full architecture (hosts, clients, servers), the three core primitives (tools, resources, prompts), how MCP compares to function calling, real-world adoption from Cursor to AWS Bedrock, and the trade-offs you need to know about: token bloat, security risks, and performance overhead.
00:00 — Every AI platform now supports this protocol
00:37 — The N×M integration problem MCP solves
01:34 — How MCP works: architecture & handshake
03:25 — MCP vs function calling
04:00 — Who's using MCP in production
05:24 — Trade-offs: token bloat, security & latency
06:54 — Where MCP goes from here
📌 What is MCP (Model Context Protocol)?
MCP is an open protocol created by Anthropic and now governed by the Linux Foundation. It standardizes how AI applications discover and use external tools, collapsing the M×N integration problem into M+N. Backed by Anthropic, OpenAI, Google, Microsoft, and Amazon, MCP has 97 million SDK downloads per month and over 5,800 cataloged servers. It uses JSON-RPC 2.0, supports local and remote servers, and works across Claude Desktop, Cursor, ChatGPT, and more.
✅ Topics covered in this video:
• What MCP is and why it was created
• The N×M problem and how MCP solves it
• MCP architecture: hosts, clients, and servers
• Three primitives: tools, resources, and prompts
• MCP vs function calling — what developers miss
• Real adoption: Cursor, Claude, ChatGPT, AWS Bedrock
• Token bloat and context window inflation
• MCP security risks: prompt injection & tool poisoning
• Performance: 300–800ms latency per call
• When to skip MCP entirely
#MCP #ModelContextProtocol #AITools
Видео What is MCP? How AI Agents Connect to the World канала Devsplainers
what is mcp model context protocol mcp explained mcp ai what is mcp in ai mcp servers how mcp works mcp architecture mcp tutorial mcp vs function calling mcp security mcp claude mcp cursor ai agent tools mcp protocol mcp token bloat mcp prompt injection mcp function calling model context protocol explained what is model context protocol mcp json-rpc usb-c for ai ai tool integration mcp developer agentic ai mcp mcp trade-offs devsplainers
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30 марта 2026 г. 12:00:00
00:07:46
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