A standard for AI connections
Model Context Protocol (MCP) is a standard way to give AI access to external tools and data. Wyatt supports MCP connections so the assistant can reach more of your stack in a consistent way.
Use Model Context Protocol (MCP) connections to extend what Wyatt’s assistant can reach, giving it access to external tools and data in a standard way.
MCP
A standard way to connect tools to AI.
Extend reach
Give the assistant access to more data.
Richer answers
More context means better responses.
Defined access
Connections are explicit and scoped.
What you can do with Wyatt
MCP
A standard way to connect tools to AI.
Extend reach
Give the assistant access to more data.
Richer answers
More context means better responses.
Defined access
Connections are explicit and scoped.
Model Context Protocol (MCP) is a standard way to give AI access to external tools and data. Wyatt supports MCP connections so the assistant can reach more of your stack in a consistent way.
With MCP connections, the assistant can draw on tools and data beyond the workspace, making its answers and actions richer and more grounded.
Because MCP is a defined protocol, connections are explicit and scoped rather than ad-hoc, which keeps integrations predictable.
MCP connections are part of how Wyatt integrates with your tools, bringing more context into one workspace.
Model Context Protocol — a standard way to give AI access to external tools and data.
They let the assistant reach more of your stack in a consistent, well-defined way.
More connected context means richer, more grounded responses.
Yes. MCP connections are part of how Wyatt integrates with your tools.