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MCP

Connect tools to AI with MCP

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.

  • Standard tool connections
  • Extends the assistant
  • More grounded answers

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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.

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.

Extend what the assistant can do

With MCP connections, the assistant can draw on tools and data beyond the workspace, making its answers and actions richer and more grounded.

Consistent and explicit

Because MCP is a defined protocol, connections are explicit and scoped rather than ad-hoc, which keeps integrations predictable.

Part of integrations

MCP connections are part of how Wyatt integrates with your tools, bringing more context into one workspace.

“Ask a question, get an answer grounded in your team's actual work — then turn it into action.”

Frequently asked questions

What is MCP?

Model Context Protocol — a standard way to give AI access to external tools and data.

Why use MCP connections?

They let the assistant reach more of your stack in a consistent, well-defined way.

How does it help answers?

More connected context means richer, more grounded responses.

Is it part of integrations?

Yes. MCP connections are part of how Wyatt integrates with your tools.

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