Quickbase MCP for AI. Run data queries and manage apps from chat.
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Quickbase MCP Server gives your AI client total control over your custom business applications. Use it to manage complex data, query records, and automate workflows inside Quickbase without ever leaving your chat window.
Your agent acts like a dedicated admin, letting you read reports, update entries, or monitor app structures using simple natural language prompts.
What your AI can do
Delete records
Removes records from a specified table within an application.
Get app
Retrieves detailed metadata for a single, specific Quickbase application.
Get report
Gets the details and results of an existing report on your platform.
You tell the agent what data you need, and it executes API calls to read specific records, or write new information by running query_records or upsert_records.
The agent finds all your available apps (list_apps) and allows you to check the details of any single app using get_app.
You can list every table within an app (list_tables), view what fields are in a specific table (list_fields), or even delete entire records using delete_records.
The agent runs existing, pre-built reports and sends back the detailed results via natural language prompts, so you don't have to open a dashboard.
You list all active users (list_users) across your Quickbase environment to check permissions and who has access to what data.
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Quickbase MCP Server: 11 Tools for Data Management
These tools give your agent full control over every aspect of your Quickbase instance—from listing users to executing complex data queries.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Quickbase on VinkiusDelete Records
Removes records from a specified table within an application.
Get App
Retrieves detailed metadata for a single, specific Quickbase application.
Get Report
Gets the details and results of an existing report on your platform.
Get Table
Retrieves detailed information about a specific data table inside an app.
List Apps
Lists every available application within your entire Quickbase realm.
List Fields
Retrieves a list of all fields that exist in a given table.
List Reports
Lists all the reports that are available for a specific table.
List Tables
Shows every single data table contained within a selected application.
List Users
Lists all user accounts and their access levels across the Quickbase workspace.
Query Records
Runs complex queries to read data from a table, using syntax similar to the...
Upsert Records
Inserts new records or updates existing ones in a specified table using bulk...
Security and governance baked right in.
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Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The Quickbase integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Make Your AI Do More
Start with Quickbase, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 11 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Juggling tabs to get a simple status report shouldn't take five minutes.
Today, pulling together a single status update means logging into the Project Tracker app. You jump to the 'Reports' tab, select the correct widget, filter by department, then you might have to export it to Excel and finally copy-paste the key metrics into your meeting notes. It's slow, and you always lose time switching between tabs.
With Quickbase MCP Server, you just tell your agent: 'Show me the status for the Q3 marketing launch.' The agent runs `query_records` instantly, pulls all necessary data points, and gives you a clean summary in your chat. Done.
Quickbase MCP Server: Master Data & App Management
Before this server, figuring out what data existed often meant guessing which app held the info, or clicking through dozens of metadata pages just to confirm if a table had a 'Status' field. It was tedious and required deep knowledge of the system architecture.
Now you can use `list_apps` to see everything available in your realm. You ask for an application structure, and the agent responds with the full details, letting you manage the whole ecosystem directly from the chat.
What your AI can actually do with this
Listen up. This server gives your AI client total control over everything you've built in Quickbase—your custom apps, complex data structures, and reports. You won't have to jump between tabs or manually mess with forms; your agent handles all the back-end work right here in the chat window.
When you need to read specific records or write new information, you just tell the agent what you want. It uses query_records to run complex searches against any table, pulling back exactly the data set you're looking for. If you gotta update existing info or dump a bunch of new entries at once, use upsert_records; that handles both creating records and modifying them in bulk.
To get a lay of the land on your entire Quickbase setup, start by asking the agent to list every app available across your whole realm using list_apps. If you wanna deep-dive into one specific application, it can pull up all the metadata for that single app via get_app. You also need to know what data tables exist inside any given app; run list_tables to get a list of every single table contained within an application.
Once you've got the table name, you can check out its full structure by calling list_fields, which returns all the fields that live in that specific table.
Need to track down specific data? You can run pre-built reports using get_report and get the detailed results sent back as plain text. This means you don't have to open up a dashboard just to check some numbers; your agent shows you what it found immediately. If you only want to read general details about an existing report without running it, use get_report.
For managing who has access and what they can see, the agent lets you list all active users across your whole Quickbase environment using list_users. This gives you a clear overview of every account and their respective permissions. And if some data needs to be removed entirely, you've got delete_records, which strips records out of any specified table in an application.
Basically, it lets you manage everything: listing applications with list_apps, getting app details with get_app, viewing all tables with list_tables, checking fields with list_fields, running reports with get_report, querying data with query_records or updating/inserting with upsert_records, and keeping track of who's logging in using list_users. It’s total control, period.
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Here's how it actually works
The bottom line is that your AI client takes over as a dedicated data coordinator for Quickbase. You talk to it, and it manages the application logic.
First, subscribe to the Quickbase server and provide your required Realm Hostname and User Token in the preferences.
Next, initiate a conversation with your agent in any MCP-compatible client (Claude, Cursor, etc.).
Finally, simply ask for what you need—for example: 'Show me all records in the Project Tracker where status is In Progress.' The agent then executes the necessary tools behind the scenes.
Who is this actually for?
This is for the Ops Manager who spends half their day clicking between dashboards just to get project statuses. It's for the IT Admin who needs to audit user permissions across multiple apps without logging into every single one. If you work with structured, complex business data and hate jumping between tabs, this server saves time.
You use the agent to quickly query project statuses or check workflow health by running query_records across multiple tables in a single chat session.
You manage user access and application metadata. You can list users (list_users) and track which applications need updates using simple commands.
You pull complex, specific data sets without writing SQL. You ask for a report via get_report and get the results right in your chat interface.
What Changes When You Connect
Stop clicking through dashboards. Use query_records to run complex searches (like finding 'In Progress' items due this week) and get the resulting list directly in your conversation window.
Manage app structure without needing an admin login. The agent lets you check application details (get_app) or see all available tables (list_tables) just by asking a question.
Handle data changes instantly. Use upsert_records to update multiple client records, or delete_records when information is obsolete—all with simple prompts.
See who has access to what. Run list_users to audit your permissions and confirm that only the right people can see sensitive project data.
Keep reports accurate by running them on demand. The get_report tool lets you pull detailed analytics results without opening the dedicated reporting section.
See it in action
The weekly status check
An Ops Manager needs to know which project tasks are overdue and who is responsible. They don't want to open the Project Tracker app, filter by 'Status: In Progress', and then sort by 'Deadline'. Instead, they ask their agent to query_records on that table. The agent runs the query and immediately spits out a sorted list of 12 records, showing who is assigned and how late it is.
Onboarding a new department
An IT Admin needs to grant five users access to three different applications. They manually go through the user panel for each app. With this server, they just ask the agent to list_users and then follow up with commands to update permissions across multiple apps in quick succession.
Data cleanup after a merger
A Data Analyst finds old records that need deleting. Instead of navigating through tables one by one, they identify the necessary table, and the agent uses delete_records based on specific criteria (e.g., 'date older than 2021'). The records are cleaned up instantly.
Creating a new tracking mechanism
A team needs to track vendor invoices, which requires creating a whole new table and linking it to purchase orders. Instead of needing development access, they prompt the agent: 'Create a Vendor Invoices table with fields for PO Number and Amount.' The agent runs the necessary setup using get_table metadata calls.
The honest tradeoffs
Trying to list everything manually
A user tries to figure out what data is available by running 'list all fields' on every single table in the app, one by one. This takes thirty clicks and doesn't give them a cohesive view.
Start broad. First, use list_apps to find the right environment. Then, ask the agent: 'Show me the tables in this app.' Use list_tables instead of manually checking every single data container.
Asking for raw database access
The user tries to write a complex RESTful API call syntax directly into the chat, which is too detailed and often fails because they forget necessary parameters.
Stick to natural language. Instead of providing code, ask: 'Give me all records from Project Tracker where status is In Progress.' The agent handles the underlying query_records syntax for you.
Mismanaging updates
A user finds a record they need to fix and tries to copy-paste the updated data into a new form, which often fails because it misses linked IDs or required fields.
Use upsert_records. Tell the agent: 'Update the Project Tracker for ID 456. Change the status to Approved and set the completion date.' This ensures all necessary fields are handled correctly.
When It Fits, When It Doesn't
Use this server if your business process is structured, relies on consistent data entry, or requires managing complex workflows (like invoice approvals). It's perfect for Operations Managers and Data Analysts who need to run reports or update records without opening the web UI.
Don't use this if you are working with simple documents that don't change much. If your primary task is just reading static PDFs or collaborating on unstructured text, other general chat tools might be better. But if your data lives in a structured Quickbase app and requires querying, listing metadata (list_apps, list_tables), or modifying records (upsert_records), this is the tool you need. It provides the high-level safety of an admin interface while giving you the power of direct API calls.
Questions you might have
How do I run a complex query using `query_records`? +
You describe the data set to your agent in natural language. The agent translates that into the required API syntax for you, so you don't need to worry about specific JSON formatting.
Can I see all my Quickbase applications with `list_apps`? +
Yes. Running list_apps gives you an immediate list of every available app in your realm, helping you pinpoint exactly where the data you need lives.
What is the difference between `get_table` and `get_app`? +
get_app provides details on the entire container (the application). get_table drills down further, giving you specific metadata about a single data source within that app.
If I need to update records, which tool should I use? +
Use upsert_records. This handles both inserting brand-new records and updating existing ones efficiently. Just tell the agent what needs changing and provide the identifiers.
What specific data does the `list_users` tool provide regarding my application's users? +
It returns a list of all active user accounts in the specified application. You get key identifiers, account status (active/inactive), and details on their associated permissions within your Quickbase realm.
How do I check exactly which fields are available in a table using `list_fields`? +
You must provide the target application ID and the specific table ID to use this tool. It returns the field names, data types (e.g., text, currency), and whether they accept unique values.
Does `list_reports` show me all pre-built reports associated with a particular table? +
Yes, this tool lists every available report defined for that specific table. It gives you the report name and its ID, allowing your agent to select existing data views without needing to build one from scratch.
What precautions should I take before executing records deletions with `delete_records`? +
Treat this operation as irreversible. Always specify the exact record IDs or criteria you want to delete, and double-check that your query is highly targeted before confirming execution.
Can my AI automatically query records with specific filters in Quickbase? +
Yes! Use the query_records tool. Provide the Table ID (DBID) and a query object (using Quickbase query syntax), and your agent will return the matching records and metadata instantly.
How do I find my Realm Hostname and User Token? +
Your Realm Hostname is your Quickbase URL (e.g., yourcompany.quickbase.com). To get a User Token, go to My Preferences > Manage my user tokens in your Quickbase account.
Does this work with the older XML API? +
This integration specifically targets the modern JSON RESTful API (v1) for better performance and security. We recommend using REST-compatible user tokens for all operations.
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