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Baserow MCP, Ready to Go

Let your AI agents manage your no-code database. Use Claude or Cursor with the Baserow MCP to query, create, and update records via chat.

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No credit card required. Experience the power of this integration risk-free.

Manage and query no-code database records through natural conversation.

Baserow MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the Baserow MCP Server?

821ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this MCP on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 668ms
Average 821ms
Max 1593ms
Trend (improving) ↓ 21%
Daily latency
1593ms 7/7/2026
762ms 7/8/2026
887ms 7/9/2026
783ms 7/10/2026
870ms 7/11/2026
1060ms 7/12/2026
840ms 7/13/2026
891ms 7/14/2026
860ms 7/15/2026
827ms 7/16/2026
687ms 7/17/2026
668ms 7/18/2026
704ms 7/19/2026
722ms 7/20/2026
7/7/2026 7/20/2026

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AI Agent

What AI agents can do with Baserow MCP: 10 Tools for No-Code Database Management

Use these tools to let your agent query, create, update, and manage your Baserow records through natural conversation.

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.

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.

One MCP enables access. Vinkius turns MCPs into production-ready infrastructure.

You're looking at one of 5,700+ managed MCPs. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

Baserow MCP for No-Code Database Management

This is for the project manager buried in spreadsheets, the dev who needs to seed data without writing scripts, and the analyst who spends more time filtering than thinking.

Project Manager

Updates task statuses and tracks sprint progress via chat instead of manual clicking through multiple tabs.

Backend Developer

Queries table schemas and creates test records programmatically through natural language to speed up dev cycles.

Data Analyst

Runs filtered queries to pull specific row sets for reporting without building complex manual filters in the UI.

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 MCP 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 MCP 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.

Your AI, connected to everything.

No credit card required · Free tier available

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