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Fulcrum MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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 Fulcrum, 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 Fulcrum MCP Server

Connect your Fulcrum environment to any AI agent to automate your field data collection and mobile inspection workflows through the Model Context Protocol (MCP). Fulcrum is a no-code mobile data collection platform used to build custom apps for field inspections, surveys, and inventory management. This MCP server enables you to retrieve dynamic form schemas, list collected records, and query massive datasets directly through natural conversation.

The Vercel AI SDK gives every Fulcrum tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

Key Features

  • Form Discovery — List all data collection apps (forms) and fetch detailed schemas including field definitions and validation logic.
  • Record Management — Access and retrieve collected field data, or create new records programmatically to keep your database updated.
  • Data Querying — Execute powerful SQL queries against the Fulcrum Query API to instantly retrieve and filter large datasets.
  • Team Oversight — List all organization members and system roles to manage user access and field workforce deployment.
  • Webhook Integration — Monitor configured webhooks to ensure your downstream systems are receiving real-time data syncs.
  • Real-time Synchronization — Keep your field intelligence accessible to your AI assistant without leaving your primary workspace.

The Fulcrum MCP Server exposes 10 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.

How to Connect Fulcrum to Vercel AI SDK via MCP

Follow these steps to integrate the Fulcrum MCP Server with Vercel AI SDK.

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 10 tools from Fulcrum and passes them to the LLM

Why Use Vercel AI SDK with the Fulcrum MCP Server

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

03

Built-in streaming UI primitives let you display Fulcrum 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

Fulcrum + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Fulcrum MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Fulcrum to Vercel AI SDK via MCP:

01

check_api_status

Verify API connection

02

create_record

Create data record

03

get_form_schema

Get form schema

04

get_record_details

Get record metadata

05

list_data_forms

List apps/forms

06

list_field_records

Can be filtered by form ID. List field data records

07

list_member_roles

g. Owner, Manager, Standard). List roles

08

list_organization_members

List team members

09

list_webhooks

List webhook configs

10

query_records_sql

Query data with SQL

Example Prompts for Fulcrum in Vercel AI SDK

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

01

"List all active forms/apps in my Fulcrum account."

02

"Run a SQL query to get the last 5 records from form 'form_123'."

03

"Show me the field schema for the 'Asset Inventory' form (ID: form_456)."

Troubleshooting Fulcrum MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Fulcrum + Vercel AI SDK FAQ

Common questions about integrating Fulcrum 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.

Connect Fulcrum to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.