What is the Quickbase MCP Connector?

The Quickbase MCP Connector is a tool that allows AI assistants like Claude to interact with the Quickbase JSON RESTful API, enabling AI-powered data management.

Is the Quickbase MCP Connector officially supported by Quickbase?

No, this is an unofficial, independent project not affiliated with, sponsored, or endorsed by Quickbase, Inc.

What can I do with the Quickbase MCP Connector?

You can manage apps, tables, fields, records, and files in Quickbase using natural language commands through AI assistants.

What are the prerequisites for using the Quickbase MCP Connector?

You need Python 3.8 or higher, Node.js 14 or higher, and Quickbase API credentials (realm hostname, user token, and app ID).

How do I install the Quickbase MCP Connector?

Clone the repository, set up the environment using ./setup.sh, and configure your Quickbase credentials in the .env file.

How can I use the connector with Claude?

You can use it with Claude Desktop by creating a configuration file or with Claude Code using the claude mcp add command.

What tool categories are available in the Quickbase MCP Connector?

Connection Tools, App Tools, Table Tools, Field Tools, Record Tools, File Tools, and Report Tools.

What operations are not implemented in the Quickbase MCP Connector?

Delete operations (delete_app, delete_table, delete_field, delete_record, etc.), User operations, Form operations, Dashboard operations, Pipelines operations, and FastField Form operations.

How do I start the MCP server manually?

Run node src/quickbase/server.js in your terminal.

How can developers contribute to the Quickbase MCP Connector?

Fork the repository, create a feature branch, commit your changes, push to the branch, and create a Pull Request.

What is the UBOS platform, and how does it relate to the Quickbase MCP Connector?

UBOS is a full-stack AI Agent Development Platform that allows you to orchestrate AI Agents, connect them with your enterprise data (like Quickbase via the MCP Connector), build custom AI Agents, and create Multi-Agent Systems.

Where can I find the MCP Server Settings?

You can configure MCP_SERVER_PORT in the .env file. The default port is 3535.

What kind of error handling does the connector provide?

The connector offers comprehensive error handling, including error type classification, HTTP status codes, detailed error messages, suggested solutions, parameter validation, and JSON data validation.