Pricefx MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Pricefx 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 Pricefx, 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 Pricefx MCP Server
Harness the power of Pricefx, the premier Cloud Pricing Optimization platform, by coupling it directly to your LLM agents. Empower your AI to navigate vast B2B catalogs, securely read customer pricing grids, and orchestrate automated Quote generation (CPQ) instantaneously via natural language prompts.
The Vercel AI SDK gives every Pricefx 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.
What you can do
- Live Catalog & Pricing — Search deep into the
fetch_productslogic to find base SKUs, and evaluate their explicit Price Math limits viaget_product - CRM & Account Rules — Query your partition tracing active CRM records via
fetch_customers, or force new structures dynamically (create_customer) - Quote Engine (CPQ) — Ask the AI to build dynamic Quotes on the fly (
create_quote) calculating complex arrays, or trace why an exist Quote ID failed approval (get_quote) - Seamless Deletion — Obliterate drafted quotes matching strict constraints from your Partition without accessing the Gateway (
delete_quote)
The Pricefx 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 Pricefx to Vercel AI SDK via MCP
Follow these steps to integrate the Pricefx 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 10 tools from Pricefx and passes them to the LLM
Why Use Vercel AI SDK with the Pricefx MCP Server
Vercel AI SDK provides unique advantages when paired with Pricefx 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 Pricefx integration everywhere
Built-in streaming UI primitives let you display Pricefx 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
Pricefx + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Pricefx MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Pricefx in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Pricefx tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Pricefx capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Pricefx through natural language queries
Pricefx MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Pricefx to Vercel AI SDK via MCP:
create_customer
Ensure JSON format is robust. Provision a highly-available JSON Payload generating hard Customer bindings
create_quote
Retrieve the exact structural matching verifying CPQ Generation
delete_quote
Irreversibly vaporize explicit validations extracting rich Churn flags
fetch_customers
Identify bounded CRM records inside the Headless Pricefx Platform
fetch_products
Enumerate explicitly attached structured rules exporting active pricing Catalog
fetch_quotes
Identify precise active arrays spanning native Gateway auth
get_customer
Perform structural extraction of properties driving active Account logic
get_product
Retrieve explicit Cloud logging tracing explicit Product limits
get_quote
Dispatch an automated validation check routing explicit Quote history
update_customer
Provide bulk bounds strictly formatted. Inspect deep internal arrays mitigating specific Plan Math
Example Prompts for Pricefx in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Pricefx immediately.
"Can you fetch all our active Quotes and find any that are still in Draft status?"
"We need to create a new customer record manually. Give me the JSON for a generic B2B profile named `Acme Corp`."
"Look up product ID 'MX-Mouse-001'. Tell me its base price bracket before discounts."
Troubleshooting Pricefx MCP Server with Vercel AI SDK
Common issues when connecting Pricefx to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPricefx + Vercel AI SDK FAQ
Common questions about integrating Pricefx 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 Pricefx 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.
AI-first code editor with integrated LLM-powered coding assistance.
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 Pricefx to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.