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SeaTable MCP Server for Mastra AIGive Mastra AI instant access to 11 tools to Create Row, Create Table, Delete Row, and more

Built by Vinkius GDPR 11 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect SeaTable through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The SeaTable app connector for Mastra AI is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "seatable": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "SeaTable Agent",
    instructions:
      "You help users interact with SeaTable " +
      "using 11 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with SeaTable?"
  );
  console.log(result.text);
}

main();
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

About SeaTable MCP Server

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.

Mastra's agent abstraction provides a clean separation between LLM logic and SeaTable tool infrastructure. Connect 11 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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.

The SeaTable MCP Server exposes 11 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 11 SeaTable tools available for Mastra AI

When Mastra AI connects to SeaTable through Vinkius, your AI agent gets direct access to every tool listed below — spanning seatable, database-api, collaborative-data, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise 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

Connect SeaTable to Mastra AI via MCP

Follow these steps to wire SeaTable into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 11 tools from SeaTable via MCP

Why Use Mastra AI with the SeaTable MCP Server

Mastra AI provides unique advantages when paired with SeaTable through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add SeaTable without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every SeaTable tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

SeaTable + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the SeaTable MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query SeaTable, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed SeaTable as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query SeaTable on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using SeaTable tools alongside other MCP servers

Example Prompts for SeaTable in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with SeaTable immediately.

01

"List all rows from the 'Inventory' table in SeaTable."

02

"Show me all tables in the project database and pull the data from the Tasks table with filters."

03

"Create a new table called Sprint Backlog with columns for story points, assignee, and sprint number."

Troubleshooting SeaTable MCP Server with Mastra AI

Common issues when connecting SeaTable to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

SeaTable + Mastra AI FAQ

Common questions about integrating SeaTable MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.