ToolJet MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 4 tools to Insert Row, List Tables, Query Table, and more

Name: ToolJet
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The ToolJet MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients

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 ToolJet, 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 ToolJet MCP Server

Connect your ToolJet workspace to any AI agent to interact with your internal databases and automate business logic through natural language.

The Vercel AI SDK gives every ToolJet tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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 Exploration — List all available tables within your ToolJet Database to understand your data structure.
Advanced Querying — Execute SQL SELECT queries on your tables to retrieve specific records, filter data, and generate insights.
Data Entry — Insert new rows into your database tables directly from the chat interface using structured JSON data.
Workflow Automation — Trigger complex ToolJet Workflows via webhooks, passing custom payloads to start automated business processes.

The ToolJet MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 ToolJet tools available for Vercel AI SDK

When Vercel AI SDK connects to ToolJet through Vinkius, your AI agent gets direct access to every tool listed below — spanning low-code, internal-tools, sql-query, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

insert

Insert row on ToolJet

Insert a new row into a ToolJet Database table

list

List tables on ToolJet

List all tables in the ToolJet Database

query

Query table on ToolJet

Use this for reading data (SELECT). Perform a SQL query on a ToolJet Database table

trigger

Trigger workflow on ToolJet

Trigger a ToolJet Workflow via Webhook

Connect ToolJet to Vercel AI SDK via MCP

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

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

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

Explore tools

The SDK discovers 4 tools from ToolJet and passes them to the LLM

Why Use Vercel AI SDK with the ToolJet MCP Server

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

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

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

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

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

ToolJet + Vercel AI SDK Use Cases

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

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

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

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

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

Example Prompts for ToolJet in Vercel AI SDK

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

"List all the tables available in my ToolJet Database."

"Run a query to find all orders with a status of 'pending' in organization 'org_123'."

"Trigger the workflow 'wf_987' with the payload {"user_id": "123", "action": "reset"}."

Troubleshooting ToolJet MCP Server with Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

ToolJet + Vercel AI SDK FAQ

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

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.

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.

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.

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