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Build and update Appsmith apps through AI-driven editor automation
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "appsmith-mcp" yet — see the docs or source repo.
Create a customer management dashboard in Appsmith: a filter panel on the left and a customer table on the right. Add a 'New Customer' button with a modal form. The table should support search, pagination, and editing. Use mock data first.
A working Appsmith admin page with layout, widgets, basic interactions, and mock data bindings.
Open the current Appsmith app and change the home page to a denser two-column layout. Make all buttons use a primary blue color, left-align form labels, move the 'Orders List' table upward, and place key metric cards at the top.
The existing app is updated in place with revised layout, styling, and widget positioning.
Connect this Appsmith app to a REST API: load customers from /api/customers, submit the create form to POST /api/customers, and submit the edit form to PUT /api/customers/:id. Refresh the table and show a success message after each successful action.
Queries, actions, bindings, and success feedback are added to enable full create, read, and update flows.
Let an AI agent inspect and drive a running Next.js app.
Securely connect AI agents to Frappe with audited, granular data access.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Automate Android and iOS app testing through Appium with AI assistants.
Control a browser through MCP for web actions, form filling, and screenshots
Build AI agent workflows and automate tasks using MCP-connected services.