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APPSHEET · MCP SERVER

Chat with your
AppSheet apps.

Your AppSheet app already knows your business rules, your data and who is allowed to see what. We put an MCP server in front of it so your team can work with the app from Claude, ChatGPT or Gemini, on desktop or phone, with every user's role and access intact.

Book a free scoping call →FROM $1,500 / APP
ILLUSTRATIVE · SAMPLE DATA
Why AppSheet

Your AppSheet app is already an AI integration waiting to happen.

Your AppSheet app describes your business rules in detail: the tables, the relationships, the actions, the security filters and who can do what. That makes it a great brain for an AI assistant.

You don't need to rewrite it as code to get more out of it. An MCP server surfaces its logic and data to the AI tools your team already uses, and gives them a rich interface for AI-assisted work.

What's Included

What our AppSheet MCP server service includes.

Starting at $1,500 per app.

CLOUD RUN

MCP server on Google Cloud

We deploy and host the MCP server on Cloud Run in your Google Cloud project.

MANIFEST REVIEW

Tool definitions that fit your app

We review your app's manifest and design tools around how people actually use it, not one generic tool per table.

ROLES

User role pass-through

Each person's AppSheet role and access carry into the chat. Nobody sees or changes data the app wouldn't let them.

READ / WRITE

Optimized reads and writes

Tool calls are tuned to pull what the question needs and write back safely.

OPTIONAL ADD-ONS
  • Publishing the connector in Claude or your AI of choice (must be MCP compatible)
  • Custom chat UIs for specific tool calls
  • IP range restrictions and a load balancer

Want to surface other apps or data to your AI suite? We build MCP wrappers for cloud and on-prem systems too.

How It Works

From AppSheet app to MCP connector.

01

Manifest review

We walk your app's tables, actions and security filters, and agree what people should be able to ask and do from chat.

02

Tool design

We define the tools, optimize the queries behind read and write operations, and decide how each user's role carries through.

03

Deploy on Cloud Run

The MCP server goes live in your Google Cloud project and is tested against real user roles.

04

Connect your AI

Your team adds the connector in Claude, ChatGPT, Gemini or another MCP-compatible client, and we stay on for support.

Frequently Asked Questions

AppSheet MCP server FAQ

What is an MCP server?

MCP (Model Context Protocol) is an open standard that lets AI assistants call tools in other systems. An MCP server for your AppSheet app gives an assistant like Claude a defined set of actions, such as looking up a project or listing open proposals, that it can use on your behalf.

Which AI assistants work with an AppSheet MCP server?

Any MCP-compatible client. That includes Claude, on desktop and in the mobile app, and other assistants such as ChatGPT and Gemini where they support MCP connectors.

Will users see data they shouldn't?

No. The server passes each user's identity through, so the assistant works within that person's AppSheet role and access.

Do we have to rebuild our AppSheet app?

No. The app stays exactly as it is. The MCP server sits in front of it and uses the app's own logic and data.

Where does the MCP server run?

On Google Cloud Run, in your own Google Cloud project.

Can you connect systems other than AppSheet?

Yes. We build MCP wrappers for other cloud and on-prem apps and data sources as well.

How much does an AppSheet MCP server cost?

Starting at $1,500 per app. The scoping call tells you what your app needs.

Put your AppSheet app in the chat.

Bring us one app. In a free 30-minute call we'll look at how your team uses it and scope the MCP server and tools that fit.

Book the scoping call →
NEXT · AI-READY DATA

Want your AI to see the whole business, not one app?

Our AI-Ready Data Warehouse brings all your source-of-truth business data together in one place, so your apps, dashboards and AI assistants work from whole-business context. A foundation your team can safely build on and set agents loose against.

Explore the AI-Ready Data Warehouse →