# Baserow MCP for AI Agents AI Agent Connect

> Baserow connects your no-code databases to your AI agent, letting you query, update, and manage records through simple conversation. Instead of manual clicking, your agent handles the heavy lifting of finding specific rows, updating project statuses, or building new data entries. It turns your database into a chat-accessible data hub for teams who need to move fast without leaving their workspace.

## Overview
- **Category:** databases
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_Z34lWZ5owpWDpmV3OREMbmzFWjwcpZS743KcVKV7/ai-agent-connect
- **Tags:** no-code, database-schema, rest-api, data-query, row-management

## Description

Imagine you're stuck in a cycle of opening browser tabs, searching through nested folders, and manually updating status fields in a database. It's tedious, and it's where momentum goes to die. This Connector changes that by letting you talk directly to your data. Instead of navigating a complex UI, you just tell your agent what you need. You can ask for a list of overdue tasks, create new entries for new clients, or pull specific rows based on custom filters. It acts like a dedicated data clerk that knows your schema inside and out. Because Vinkius makes it so easy to connect these tools, you can jump from a high-level strategy session to specific data updates in seconds. You're not just connecting an API; you're giving your agent the keys to your information hub so you can stop doing the busy work of data entry and start doing the actual work of making decisions.

## Tools

### delete_row
Removes a specific record from a table using its unique row ID. Use this to clean up your database records.

### get_row
Fetches the data for a single row and returns it in a readable format. Use it to quickly check a specific record.

### get_table
Retrieves the specific details and configuration for a single Baserow table. It helps your agent understand table context.

### list_databases
Shows all databases you have access to, including their IDs and workspace names. Use this for initial discovery.

### list_fields
Displays all columns in a table, including their types and required status. This is how your agent learns your schema.

### list_rows
Pulls a list of rows from a table with optional filtering and pagination. It's the primary way to query your data.

### list_tables
Lists every table in your Baserow account so you can see what's available. Use this to browse your data structure.

### list_views
Shows all configured views like Kanban or Gallery and their specific filter rules. It helps your agent see how you work.

### update_row
Modifies specific fields in an existing row without changing the rest of the data. It's the best way to perform updates.

### create_row
Adds a new entry to a specific table using a JSON object of field names and values. It's perfect for quick data entry.

## Prompt Examples

**Prompt:** 
```
What's the status of the 'Alpha Project' in my database?
```

**Response:** 
```
I've checked the 'Projects' table. Here is the current status for 'Alpha Project':

- **Status**: In Progress
- **Owner**: Sarah Jenkins
- **Completion**: 65%
- **Next Milestone**: Beta testing launch on Oct 15th.
```

**Prompt:** 
```
Create a new task for the dev team: 'Fix login bug' with high priority.
```

**Response:** 
```
Done! I've added that to your 'Tasks' table.

- **Task**: Fix login bug
- **Priority**: High
- **Assigned To**: Development Team
- **Status**: To Do
```

**Prompt:** 
```
Show me all rows in the 'Leads' table where the status is 'New'.
```

**Response:** 
```
I found 4 new leads:

| Name | Company | Source |
| :--- | :--- | :--- |
| John Doe | Acme Corp | LinkedIn |
| Jane Smith | Globex | Referral |
| Bob Ross | Paint Co | Website |
| Alice Wong | Tech Inc | Cold Call |
```

## Capabilities

### Query rows with filters
Ask your agent to find specific records based on status, date, or other field values.

### Create new records
Have your agent build new entries in your tables using natural language instructions.

### Update existing fields
Change specific values like task statuses or deadlines without opening the database UI.

### Explore table schemas
Let your agent automatically learn your column names and data types.

### List all databases
Give your agent a bird's eye view of every database it has permission to access.

### Manage view types
Understand how your team organizes data in Kanban, Gallery, or Grid layouts.

### Delete records
Remove unwanted entries from your tables through simple chat commands.

## Use Cases

### Updating Project Status
A project manager asks the agent to 'mark all tasks for Alice as completed,' and the agent updates dozens of rows instantly using `update_row`.

### Onboarding New Clients
A sales lead tells the agent to 'create a new client record for Acme Corp with a Gold status,' and the agent populates the table using `create_row`.

### Data Auditing
A dev asks the agent to 'list all rows in the Bug Reports table where the priority is high,' getting a clean summary of issues using `list_rows`.

### Schema Discovery
A new team member asks the agent 'what fields are in the Inventory table?' to understand the data structure before starting work using `list_fields`.

## Benefits

- Stop manual data entry: Use `create_row` to let your agent build records for you, saving you from repetitive typing.
- Faster data discovery: Use `list_tables` and `list_fields` to instantly see your data structure without hunting through menus.
- Dynamic filtering: Use `list_rows` to pull specific subsets of data based on status or date without building manual filters.
- Instant updates: Use `update_row` to change project statuses or deadlines across your database in a single sentence.
- View synchronization: Use `list_views` to understand how your team organizes data in the UI and replicate that logic in your prompts.

## How It Works

The bottom line is you get a conversational interface for your no-code database without any manual data entry.

1. Subscribe to the Baserow MCP on Vinkius.
2. Enter your Baserow Database Token in your client settings.
3. Ask your agent to find, create, or update data in your tables.

## Frequently Asked Questions

**Can the Baserow MCP create new records for me?**
Yes, it can. Your agent can use the `create_row` tool to add new entries to any table you give it access to.

**How do I let my agent see my database schema?**
The Connector includes tools like `list_tables` and `list_fields`. Your agent will use these to understand your columns and data types automatically.

**Can I use the Baserow MCP to update existing data?**
Absolutely. You can tell your agent to change specific fields in a row, like updating a status or a deadline, using the `update_row` tool.

**Will the Baserow MCP delete my data?**
It has a `delete_row` tool, but it's only used when you specifically ask your agent to remove a record. It's always best to be clear with your instructions.

**Does the Baserow MCP work with my custom views?**
Yes, it can list your configured views. This helps your agent understand how you've organized your data in the gallery or kanban layouts.

**Is the Baserow MCP safe for my private data?**
Your data stays in Baserow. The Connector just provides a bridge for your agent to perform actions on your behalf using your own database token.

**How do I get a Baserow API Token?**
Log in to your Baserow workspace, go to **Database Settings > API Tokens** (or Workspace Settings > API Tokens), click **Create Token**, give it a name and set the permissions (create, read, update, delete) for specific tables. Copy the token immediately — it won't be shown again.

**Can I create and update rows programmatically?**
Yes! Use `create_row` with the table ID and a JSON object of field_name: value pairs. Use `update_row` with the table ID, row ID and the fields to update. First use `list_fields` to discover the available field names and their types for the table.

**Can I filter rows by field values?**
Yes! The `list_rows` tool supports pagination and ordering. Use the `page` and `size` parameters for pagination, and `order_by` to sort by any field (prefix with `-` for descending). The underlying API also supports field-level filtering through the filter parameter.

**What field types does Baserow support?**
Baserow supports: text, number, boolean, date, long_text, email, url, single_select, multiple_select, link_row (relationships), file, rating, formula, lookup, rollup, last_modified and created_on fields. Use `list_fields` to see the exact types in your table.