# Baserow MCP for AI Agents AI Agent Connect > Baserow MCP lets you manage your no-code databases and relational data directly through your AI agent. Instead of clicking through tables, you can create, update, search, and delete records using natural language. It handles the heavy lifting of data management while keeping your structured data organized in one central place. ## Overview - **Category:** developer-tools - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_0Bte2TwwdsjYuutsv8sPzXLy42nXv8jlCj2X7Sui/ai-agent-connect - **Tags:** no-code, relational-database, data-schema, api-integration, data-orchestration, workspace-management ## Description Managing a complex database usually means jumping between browser tabs, hunting for the right table, and manually typing in rows of data. It's a chore that breaks your focus. This Connector changes that by letting your AI agent handle the grunt work for you. You can tell your agent to find a specific record, update a status, or build out a new row without ever opening the dashboard. It's about moving from manual entry to just talking about your data. Whether you're updating a project tracker or pulling records for a report, the agent does the navigation while you stay in your flow. You can find this in the Vinkius catalog alongside other powerful integrations to help connect your favorite tools. It's like having a data architect who knows your exact schema and can make changes in seconds. ## Tools ### list_applications See all your Baserow databases at once. It helps you identify which app to target. ### create_row Add a new entry to a table by providing field names and values. This keeps your data entry fast. ### delete_row Remove a specific record from a table. Use this to clean up your database quickly. ### list_fields See every field inside a specific table. This helps your agent understand your data structure. ### get_row Pull the full details of a single record. It's great for checking specific data points. ### list_rows Fetch multiple records from a table with support for search and pagination. Use this for bulk data retrieval. ### list_tables See all the tables within a specific database. It helps you navigate your data hierarchy. ### update_row Change the information in an existing record. It makes updating statuses or names a breeze. ### list_workspaces See every workspace in your Baserow account. This helps you manage your high-level organization. ## Prompt Examples **Prompt:** ``` List my Baserow databases. ``` **Response:** ``` I've scanned your account. You currently have 3 applications: * **Project Tracker** (ID: 123) * **Customer CRM** * **Inventory** Which one would you like to explore for tables? ``` **Prompt:** ``` Find the customer with email test@example.com. ``` **Response:** ``` Searching the Customer CRM... I found a match for **Test User** in Table 456. **Current Details:** * **Status:** Active * **Plan Type:** Premium * **Last Login:** 2026-07-01 Would you like to update any of these fields? ``` **Prompt:** ``` Create a new row in the project tracker. ``` **Response:** ``` I'm ready to help with that. Please tell me the following details: 1. **Task Name** 2. **Assigned Person** 3. **Deadline** Once you provide those, I'll add the new row to your **Project Tracker** database. ``` ## Capabilities ### Create new database records Add new entries to any table by providing field names and values in a simple format. ### Update existing row information Modify specific data points in your records without having to manually navigate to the row. ### Search for records with keywords Find specific entries across your tables using natural language search terms. ### List applications and workspaces See your entire database ecosystem to help your agent identify the right place to work. ### Modify table schemas Manage your fields and data structures to keep your database organized. ### Delete records Remove old or unnecessary entries from your tables quickly. ## Use Cases ### Updating Project Status A project manager tells the agent to mark all 'In Progress' tasks as 'Done' in the Project Tracker database using update_row. ### Onboarding New Clients A sales lead asks the agent to create a new client record in the CRM with specific contact details using create_row. ### Data Auditing An analyst asks the agent to find all records from last month that are missing an email address using list_rows. ### Schema Exploration A developer asks the agent to list all fields in the 'Inventory' table to understand how to map new data using list_fields. ## Benefits - Stop manual data entry by using create_row to populate your tables instantly through chat. - Find records faster with list_rows and its built-in search functionality for your agent. - Manage your entire data structure easily by using list_workspaces and list_applications. - Keep your schema accurate by using list_fields to let your agent see your exact data types. - Update statuses in bulk by using update_row to change multiple records at once. - Clean up your data without clicking through menus by using delete_row for quick removals. ## How It Works The bottom line is you get a hands-free way to manage your no-code backend using natural language. 1. Subscribe to this Connector on the Vinkius Marketplace. 2. Copy your Database Token from your Baserow settings. 3. Connect your AI client and start managing your tables via chat. ## Frequently Asked Questions **Can I use Baserow MCP to update my CRM?** Yes, you can use it to update any record in your Baserow CRM by telling your agent what to change. It handles the find and update actions for you. **How do I connect Baserow MCP to Claude?** You'll need your Database Token from Baserow settings, then add the Connector to your Claude client. This allows your agent to interact with your data directly. **Does Baserow MCP support searching?** Yes, it uses search keywords to help your agent find specific rows in your tables quickly. You don't need to know the exact row ID to find what you need. **Can my agent create new records?** Your agent can use the tools to add new data to any table you give it permission to access. Just tell it what information to include. **Is Baserow MCP good for large datasets?** It's great for managing structured data, and it includes pagination to handle large lists of rows efficiently without overwhelming your agent. **Can I use Baserow MCP to change my table structure?** Yes, your agent can see your current setup and help you manage your fields. It's a great way to verify your schema without manual checking. **How do I find my Baserow Database Token?** Log in to your account, navigate to **Settings** > **Database Tokens**, and create a new token with appropriate workspace permissions. **Can I search for records via AI?** Yes! The `search_rows` tool allows your agent to find records across a specific table matching your search criteria programmatically. **How do I find Table and Database IDs?** Use the `list_applications` tool to find Database IDs, and `list_database_tables` to find Table IDs within a specific application.