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SeaTable

SeaTable MCP Server with 11 Tools Ready for AI Agents

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Build collaborative databases with spreadsheet simplicity and relational power for project management, CRM, and asset tracking. Unlock 11 tools ready out of the box. Connect this App Connector to instantly empower AI agents like Claude Code, Cursor, or any MCP-compatible client with advanced capabilities.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

AI AgentVinkius
High Security·Kill Switch·Plug and Play
SeaTable
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

What is the SeaTable MCP Server?

The SeaTable MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to SeaTable via 11 tools. Build collaborative databases with spreadsheet simplicity and relational power for project management, CRM, and asset tracking. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.

Built-in capabilities (11)

create_rowcreate_tabledelete_rowget_base_metadataget_rowlist_columnslist_rowslist_tableslist_viewsquery_sqlupdate_row

Tools for your AI Agents to operate SeaTable

Ask your AI agent "List all rows from the 'Inventory' table in SeaTable." and get the answer without opening a single dashboard. With 11 tools connected to real SeaTable data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.

Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.

Why teams choose Vinkius

One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.

Build your own MCP Server with our secure development framework →

The SeaTable App Connector works with every AI agent you already use

…and any MCP-compatible client

CursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWSCursorClaudeOpenAIVS CodeCopilotGoogleLovableMistralAWS

Use all 11 SeaTable tools with your AI agents right now

Empower your AI agents to connect to SeaTable and securely perform advanced actions on Vinkius infrastructure. Beyond a simple connection, you gain an advanced AI Gateway that provides complete visibility into agent activity, ensuring maximum governance and optimized token usage.

create_row

Pass row data as a JSON string. Add a new row to a table

create_table

Create a new table

delete_row

Delete a row from a table

get_base_metadata

Get metadata for the current base

get_row

Get a specific row from a table

list_columns

List all columns in a table

list_rows

List all rows in a table

list_tables

List all tables and columns

list_views

List all views for a table

query_sql

Query data using SQL

update_row

Update an existing row

What the SeaTable MCP Server unlocks

Connect your SeaTable account to any AI agent and take full control of your database orchestration and collaborative workflows through natural conversation. SeaTable combines the power of a professional database with the ease of use of a spreadsheet, and this integration allows you to retrieve row metadata, append new records, and perform complex SQL queries directly from your chat interface.

What you can do

  • Database & Row Orchestration — List, create, and update rows programmatically to keep your collaborative data always synchronized.
  • SQL Query Intelligence — Perform advanced data filtering and aggregation using standard SQL syntax directly from the AI interface.
  • Table & Metadata Control — Access base metadata and list tables to maintain a clear overview of your digital workspace via natural language.
  • Automation & Token Oversight — The integration automatically handles the complex exchange of permanent API tokens for short-lived access tokens to ensure secure data operations.
  • Operational Monitoring — Track system activity and manage database records using simple AI commands to streamline your business workflows.

How it works

1. Subscribe to this server
2. Enter your SeaTable API Token and Server URL (optional) from your base settings
3. Start managing your collaborative databases from Claude, Cursor, or any MCP-compatible client

No more manual copy-pasting or complex filter building. Your AI acts as a dedicated database administrator or operations coordinator.

Who is this for?

  • Project Managers — quickly retrieve task statuses and update project timelines without switching browser tabs.
  • Operations Teams — automate the ingestion of new data records and perform aggregate queries via natural conversation.
  • Data Engineers — streamline the retrieval of base metadata and monitor database structures directly within the chat.

Frequently asked questions about the SeaTable MCP Server

01

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

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

02

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.

03

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 MCP server to your private instance.

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