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SeaTable MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Create Row, Create Table, Delete Row, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SeaTable through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The SeaTable app connector for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

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

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using SeaTable, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
SeaTable
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* 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.

The Vercel AI SDK gives every SeaTable tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 Vercel AI SDK via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

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

Explore tools

The SDK discovers 11 tools from SeaTable and passes them to the LLM

Why Use Vercel AI SDK with the SeaTable MCP Server

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

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same SeaTable integration everywhere

03

Built-in streaming UI primitives let you display SeaTable tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

SeaTable + Vercel AI SDK Use Cases

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

01

AI-powered web apps: build dashboards that query SeaTable in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate SeaTable tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed SeaTable capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with SeaTable through natural language queries

Example Prompts for SeaTable in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

SeaTable + Vercel AI SDK FAQ

Common questions about integrating SeaTable MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.