What is MCP (Model Context Protocol)?
MCP is an open protocol that lets an AI model or agent connect to external tools and data sources through a standard interface, instead of a one-off custom integration per tool.
Model Context Protocol (MCP) defines a standard way for an AI application to discover and call external "tools" — for example, reading a file, querying a database, or hitting an API — without the model provider or agent framework needing bespoke code for every integration.
Before MCP, connecting an agent to a new tool usually meant writing custom glue code for that specific combination. An MCP server exposes its capabilities in a standard shape, so any MCP-compatible agent can use it with the same client code.
On VibeOpenClaw
OpenClaw agents connect to external tools through its skills system, which can call webhooks, APIs, or MCP servers depending on the integration — see the integrations pages for specific tools like n8n, Notion, and GitHub.
Related terms
Frequently asked questions
What is MCP?+
MCP (Model Context Protocol) is an open protocol that lets an AI model or agent connect to external tools and data sources through one standard interface, instead of custom glue code per integration.
What does MCP stand for?+
Model Context Protocol.
What is the MCP protocol?+
It's a standard way for an AI application to discover and call external tools — reading a file, querying a database, hitting an API — through a consistent interface that any MCP-compatible client can use, rather than writing bespoke integration code for every tool.
What does MCP mean in AI?+
In the context of AI agents, MCP means the model or agent can call out to external "MCP servers" for tools and data using a shared protocol, so adding a new tool doesn't require new integration code for that specific model or framework.