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Baserow MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Create Row, Delete Row, Get Row, and more

Built by Vinkius GDPR 9 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Baserow 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 Baserow app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 9 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 Baserow, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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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 Baserow MCP Server

Connect your Baserow account to any AI agent and take full control of your no-code relational databases and automated data management workflows through natural conversation.

The Vercel AI SDK gives every Baserow tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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

  • Workspace & Database Orchestration — List and monitor your entire Baserow ecosystem programmatically, from high-level workspaces to individual database applications
  • Schema Intelligence — Access and manage tables and fields within your databases to maintain a perfectly coordinated high-fidelity data structure in real-time
  • Row Lifecycle Management — Programmatically list, create, update, and delete rows in any table, retrieving detailed high-fidelity records using custom field names
  • Search & Discovery — Use semantic keywords to search for specific records across your tables to maintain a perfectly coordinated digital ledger
  • Infrastructure Monitoring — Retrieve metadata for database tokens and verify account-level permissions directly through your agent for instant reporting

The Baserow MCP Server exposes 9 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 9 Baserow tools available for Vercel AI SDK

When Vercel AI SDK connects to Baserow through Vinkius, your AI agent gets direct access to every tool listed below — spanning no-code, relational-database, data-schema, 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

Provide data as a JSON string of field names and values. Create a new row in a table

delete_row

Delete a specific row

get_row

Get details for a specific row

list_applications

List all Baserow applications (databases)

list_fields

List fields in a table

list_rows

Supports search and pagination. List rows in a table

list_tables

List tables in a database

list_workspaces

List all Baserow workspaces

update_row

Provide data as a JSON string. Update an existing row

Connect Baserow to Vercel AI SDK via MCP

Follow these steps to wire Baserow 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 9 tools from Baserow and passes them to the LLM

Why Use Vercel AI SDK with the Baserow MCP Server

Vercel AI SDK provides unique advantages when paired with Baserow 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 Baserow integration everywhere

03

Built-in streaming UI primitives let you display Baserow 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

Baserow + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Baserow in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Baserow immediately.

01

"List all active database applications in my Baserow account."

02

"Show the records in table ID '456' from the 'Customer CRM' database."

03

"Search for 'John Doe' in table '456'."

Troubleshooting Baserow MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Baserow + Vercel AI SDK FAQ

Common questions about integrating Baserow 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.