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Vinkius

SeaTable Connector for AI agents.

11 live capabilities

Manage your collaborative databases and CRM data with natural language.

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AI Agent

Why people use SeaTable

SeaTable Database Management for AI Agents

With this Connector, you just tell your agent what you need. You can ask for a summary of all overdue tasks or update a row's status with a simple command. You get a direct line to your data without the friction of manual navigation.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a database administrator that lives inside your chat interface.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Inventory Management

    An inventory manager asks their agent to list all items with stock below 5.

  2. Real-world use case 02

    CRM Data Cleanup

    A sales lead wants to update the status of 50 leads.

  3. Real-world use case 03

    Project Milestone Tracking

    A project manager asks for a summary of all overdue tasks.

Complete set · 11capabilities

The complete SeaTable capability set.

These are the exact actions your AI can choose when you ask it to work with SeaTable.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 11 available through SeaTable.

  1. 01 Capability

    Get row

    Fetches a single specific record from a table when you need to see one item. It's the fastest way to grab a specific piece of information.

  2. 02 Capability

    List columns

    Shows all the headers and data types in a table to understand the schema. This helps you know exactly what data points are available.

  3. 03 Capability

    List rows

    Pulls every record currently in a table for a full overview of your data. You can use this to see everything in one go.

  4. 04 Capability

    List tables

    Provides a full list of tables and their columns for a broad workspace view. It helps you navigate your entire database structure.

Capability set02 / 03

05—08

4 capabilities in this set.

Part of 11 available through SeaTable.

  1. 05 Capability

    List views

    Shows all the different views you've set up for a table to see different perspectives. This is useful for seeing how others are looking at the data.

  2. 06 Capability

    Query sql

    Runs standard SQL queries against your database for advanced filtering and aggregation. You can perform complex data analysis using familiar commands.

  3. 07 Capability

    Delete row

    Removes a specific record from a table. This helps keep your workspace clean by getting rid of outdated information.

  4. 08 Capability

    Get base metadata

    Pulls the underlying structure and information for your current base. It gives you a clear look at how your data is organized.

Capability set03 / 03

09—11

3 capabilities in this set.

Part of 11 available through SeaTable.

  1. 09 Capability

    Create row

    Adds a new entry to a table using a JSON string for easy data input. You can quickly populate your database without manual typing.

  2. 10 Capability

    Create table

    Builds a new table within your workspace to organize new categories of data. This allows you to expand your database structure on the fly.

  3. 11 Capability

    Update row

    Modifies the data in an existing record to keep your project information current. Use this to change status updates or new details in a row.

Set up in minutes

One URL. Then ask SeaTable to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use SeaTable from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_EcrX5RuTBwMiiV5mY6fQqN7e2NIAfxegGUxfqa1y/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it SeaTable, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable SeaTable for the conversation.

Where the request belongs

Work SeaTable can move forward.

Built around the request

This is for the ops lead tired of manual data entry, the project manager who needs instant status updates, and the data engineer auditing complex schemas.

01

Project Manager

Updates task statuses and project timelines without leaving the chat window during a busy planning session.

02

Operations Lead

Automates the ingestion of new data records and runs aggregate queries on business logs on Tuesday afternoons.

03

Data Engineer

Monitors database structures and pulls base metadata to audit system health and connectivity.

Bring your own AI

Change the model, client or framework. Keep SeaTable connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
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  • Windsurf
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  • Zed
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  • TypingMind
  • Chorus
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  • Vercel AI SDK

Before you connect

Questions about SeaTable.

The practical details behind the request, access and result.

Can I use SeaTable MCP to update my project tasks?

Yes. You can ask your agent to update specific rows, such as changing a task status from 'In Progress' to 'Done' or updating a due date without opening the browser.

How do I run SQL queries on my SeaTable data?

You can simply describe the data you want to see in plain English. Your agent will translate that into a SQL query to pull the specific filters or aggregations you need.

Is SeaTable MCP safe for my company's database?

Yes. The Connector handles the complex security of exchanging permanent tokens for short-lived access tokens, ensuring your data remains secure while your agent performs actions.

Can I create new tables in SeaTable using an AI agent?

Absolutely. You can describe the columns and purpose of a new table, and the agent will build it for you instantly to organize your new data categories.

How does SeaTable MCP help with CRM management?

It allows you to manage your CRM records through conversation. You can pull lead lists, update contact statuses, and query aggregate sales data without manual data entry.

Can SeaTable MCP handle large amounts of data?

Yes. By using SQL queries and row listing, the Connector can efficiently navigate large datasets to pull only the specific information you need at any given time.

Can my AI automatically run SQL queries on my SeaTable data?

Yes! Use the query_sql capability. Provide a standard SQL string (e.g., 'SELECT * FROM Tasks WHERE Status = "Done"'), and your agent will return the aggregate or filtered results instantly.

How do I find my SeaTable API Token?

Open your SeaTable base, click the three dots (Advanced) next to the base name, select API Token, and create a permanent token for the base.

Does this integration work with self-hosted SeaTable instances?

Yes! You can provide your custom serverUrl (e.g., https://seatable.mycompany.com) during setup to connect the Connector to your private instance.

One connection away

Give your agent a direct line to SeaTable.

Connect SeaTable once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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