Fieldfolio MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fieldfolio 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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Vinkius supports streamable HTTP and SSE.
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 Fieldfolio, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Fieldfolio MCP Server
Fieldfolio is a leading B2B wholesale marketplace. This MCP server allows your AI agent to interact with your Fieldfolio seller account flawlessly.
The Vercel AI SDK gives every Fieldfolio 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.
Key Features
- Product Orchestration — List all items in your wholesale catalog and fetch detailed metadata for specific products natively.
- Order Management — Retrieve and inspect wholesale orders to stay updated on fulfillment and sales flawlessly.
- Inventory Intelligence — Query real-time stock levels and update inventory quantities directly from the agent flawlessy.
- Customer CRM — Access retail customer profiles and order history to personalize business relationships flawlessly.
- Catalog Search — Search your entire wholesale catalog by keyword to quickly find specific items flawlessly.
- Webhook Auditing — List active webhooks to ensure your third-party integrations are synchronized flawlessly.
The Fieldfolio MCP Server exposes 12 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 Fieldfolio to Vercel AI SDK via MCP
Follow these steps to integrate the Fieldfolio MCP Server with Vercel AI SDK.
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 Fieldfolio and passes them to the LLM
Why Use Vercel AI SDK with the Fieldfolio MCP Server
Vercel AI SDK provides unique advantages when paired with Fieldfolio 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 Fieldfolio integration everywhere
Built-in streaming UI primitives let you display Fieldfolio 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
Fieldfolio + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Fieldfolio MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Fieldfolio in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Fieldfolio tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Fieldfolio capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Fieldfolio through natural language queries
Fieldfolio MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Fieldfolio to Vercel AI SDK via MCP:
get_customer
Get details for a specific retail customer
get_me
Get details for the authorized seller account
get_order
Get details for a specific wholesale order
get_product
Get details for a specific product
list_categories
List all product categories
list_customers
List all retail customers
list_inventory
List inventory levels for all products
list_orders
List all wholesale orders
list_products
List all products in your wholesale catalog
list_webhooks
List all configured webhooks
search_catalog
Search the wholesale catalog by keyword
update_inventory
Update inventory quantity for a specific product
Example Prompts for Fieldfolio in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Fieldfolio immediately.
"List my active wholesale orders."
"Check the inventory level for 'Summer T-Shirt'."
"Search the catalog for 'Ceramic Vases'."
Troubleshooting Fieldfolio MCP Server with Vercel AI SDK
Common issues when connecting Fieldfolio to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFieldfolio + Vercel AI SDK FAQ
Common questions about integrating Fieldfolio MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Fieldfolio with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Fieldfolio to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.