Definition
The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources through a uniform interface, so agents can act through a defined front door rather than scraping.
The Model Context Protocol (MCP) is an open standard for connecting AI models and agents to external systems — tools, data sources, APIs — through a consistent interface. Instead of every integration being bespoke, MCP defines how an agent discovers and calls capabilities.
Why it matters for AIO
If you want cooperative agents to query your data or act on your site through a defined front door (rather than scraping the back), you can expose an MCP server and describe it at /.well-known/mcp.json. It is a bonus reach into the agent ecosystem, on top of crawlable pages.
Related
MCP is part of the broader move to make web interfaces agent-completable, alongside llms.txt and clean structured endpoints.
Frequently asked questions
Do I need an MCP server for AI search?
No. MCP is optional and aimed at letting agents take actions or query data through a defined interface. Classic crawlable HTML remains the foundation for being found and cited.
What is /.well-known/mcp.json?
A manifest file that advertises your MCP server to compatible agents, telling them what capabilities you expose and how to connect.