MOBIDI MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Mobidi Status, Create Record, Delete Record, and more

Name: MOBIDI
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 MOBIDI 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 MOBIDI MCP Server for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 MOBIDI, 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 MOBIDI MCP Server

Connect your MOBIDI platform to any AI agent and manage business intelligence data.

The Vercel AI SDK gives every MOBIDI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

Data Queries — Run custom queries and count matching records
CRUD Operations — Create, read, update, and delete records of any entity type
Reports — List, inspect, and execute BI reports
Data Model — Explore available entity types
System Services — View available platform services

The MOBIDI MCP Server exposes 12 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 12 MOBIDI tools available for Vercel AI SDK

When Vercel AI SDK connects to MOBIDI through Vinkius, your AI agent gets direct access to every tool listed below — spanning crud-operations, data-querying, reporting-dashboards, 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.

check

Check mobidi status on MOBIDI

Verify API connectivity

create

Create record on MOBIDI

Create a record

delete

Delete record on MOBIDI

Delete a record

execute

Execute report on MOBIDI

Execute a report

get

Get record by id on MOBIDI

Get record by ID

get

Get record count on MOBIDI

Count records

get

Get report on MOBIDI

Get report details

get

Get services on MOBIDI

List system services

list

List entity types on MOBIDI

List entity types

list

List records on MOBIDI

Query records

list

List reports on MOBIDI

List reports

update

Update record on MOBIDI

Update a record

Connect MOBIDI to Vercel AI SDK via MCP

Follow these steps to wire MOBIDI 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 12 tools from MOBIDI and passes them to the LLM

Why Use Vercel AI SDK with the MOBIDI MCP Server

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

Built-in streaming UI primitives let you display MOBIDI 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

MOBIDI + Vercel AI SDK Use Cases

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

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

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

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

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

Example Prompts for MOBIDI in Vercel AI SDK

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

"Query all records where status is active."

"Execute the monthly sales report."

"List all entity types in the data model."

Troubleshooting MOBIDI MCP Server with Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

MOBIDI + Vercel AI SDK FAQ

Common questions about integrating MOBIDI 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.