MCP integrations: connect AI to your real tools

A chatbot that can only talk is a brochure. The useful version can look something up, write something down, and take an action in a system you already run.

MCP is the standard that makes that connection sane rather than a pile of one-off scripts. It defines how an AI assistant is given access to a tool, what it is allowed to do there, and how that access is revoked — which matters a great deal more than the demo.

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What this includes

Read from your real data

Answers come from your current records, not from a copy that went stale a month ago.

Take real actions

Create the record, send the message, schedule the job — with the boundaries you set.

Scoped access

Each connection gets only the permissions it needs, and can be turned off without unpicking everything else.

Standard, not bespoke glue

MCP is an open protocol, so integrations are maintainable by someone other than whoever wrote them.

Built for

Construction

Common questions

What is MCP?: Model Context Protocol — an open standard for connecting AI assistants to external tools and data sources in a consistent, permissioned way.
Is my data being used to train a model?: That depends on the model provider and the plan, and it is worth deciding deliberately. It can be configured so it is not.
Which tools can be connected?: Anything with an API, plus common ones like spreadsheets, email, calendars and payment tools that have existing connectors.