Anthropic's MCP Crosses 97 Million Installs — Why Every AI Developer Should Care
The Model Context Protocol is becoming the USB port of AI agents. With 97M installs and growing, MCP is quietly reshaping how AI tools talk to each other.
DailyByteNews
Staff Writer

MCP is becoming the de facto standard for AI tool interoperability.
When Anthropic quietly released the Model Context Protocol (MCP) in late 2024, most developers shrugged. Another protocol, another standard — the graveyard of tech is littered with "universal" solutions that never caught on.
Eighteen months later, MCP has crossed 97 million installs. It's integrated into VS Code, Cursor, Replit, and dozens of enterprise tools. And it's starting to look less like a niche developer utility and more like critical infrastructure for the AI era.
What MCP Actually Does
The Model Context Protocol is, at its core, a standardized way for AI models to connect to external tools and data sources. Think of it as the USB standard for AI agents. Before MCP, every AI tool that needed to read files, query databases, or call APIs had to build its own custom integration layer.
"MCP is to AI agents what HTTP was to the web — the boring plumbing that makes everything else possible." — Simon Willison, software developer and AI researcher
With MCP, a developer builds one connector, and any MCP-compatible AI model can use it. The protocol handles authentication, context windowing, and response formatting in a standardized way.
The Network Effect Is Real
The 97 million install figure matters because of what it signals about network effects. At this scale, new AI tools are essentially forced to support MCP to be taken seriously by developers. The protocol has achieved the critical mass needed to become self-reinforcing.
Major cloud providers are paying attention. AWS announced native MCP support in Bedrock last month. Google Cloud is expected to follow. Microsoft's Copilot Studio already supports MCP connectors.
What This Means for Indian Developers
For the large developer community in India — estimated at 5.8 million and growing — MCP opens significant opportunities. Building MCP-compatible tools for Indian enterprise use cases (GST integrations, UPI connectors, regional language models) is a relatively untapped market with real commercial potential.
About the Author
DailyByteNews
Covering the latest in AI, technology, and business — built for the modern Indian tech reader.
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