Pipedrive Products MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Pipedrive Products through the 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 Pipedrive Products, 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 Pipedrive Products MCP Server
Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.
The Vercel AI SDK gives every Pipedrive Products tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the 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
- Deals — Search, create, and update deals with pipeline tracking
- Contacts — Find and create persons with email, phone, and organization
- Organizations — Search companies linked to deals and contacts
- Activities — Create calls, meetings, tasks, and emails
- Notes — Attach notes to deals, persons, or organizations
- Pipelines — View all pipeline stages and deal flow
The Pipedrive Products MCP Server exposes 8 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 Pipedrive Products to Vercel AI SDK via MCP
Follow these steps to integrate the Pipedrive Products 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 8 tools from Pipedrive Products and passes them to the LLM
Why Use Vercel AI SDK with the Pipedrive Products MCP Server
Vercel AI SDK provides unique advantages when paired with Pipedrive Products 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 Pipedrive Products integration everywhere
Built-in streaming UI primitives let you display Pipedrive Products 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
Pipedrive Products + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Pipedrive Products MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Pipedrive Products in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Pipedrive Products tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Pipedrive Products capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Pipedrive Products through natural language queries
Pipedrive Products MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Pipedrive Products to Vercel AI SDK via MCP:
pd_add_product_to_deal
Requires the deal ID, product ID (use pd_search_products or pd_list_products to find), unit price, and quantity. The line-item total is calculated automatically. Use when the user wants to add a product to a deal, build a quote, or track what is being sold. Attach a product from the catalog to a deal with a specific quantity and unit price for line-item tracking
pd_create_product
Name is required. Code serves as the internal SKU/reference. Unit defines how the product is measured (piece, hour, kg, etc.). Tax is the default tax percentage. Products in the catalog can be attached to deals using pd_add_product_to_deal. Create a new product in the Pipedrive catalog with name, code (SKU), unit type, and tax rate
pd_deal_products
Returns product name, quantity, item price, discount percentage, and total value per line. Use when the user asks "what products are on this deal?", needs to check line-item pricing, or wants to review the deal composition before closing. Get all products attached to a specific deal with quantities, prices, and line-item totals
pd_deal_subscriptions
Returns subscription details including recurring amount, billing cycle, and dates. Subscriptions track ongoing revenue tied to a deal for SaaS/recurring revenue businesses. Use when the user asks about recurring revenue, MRR/ARR, or subscription details on a deal. Get recurring revenue subscriptions linked to a deal — MRR/ARR tracking for subscription-based businesses
pd_get_product
Returns full product data including name, prices per currency, code, unit, tax, and custom fields. Use after searching to drill into a specific product for complete details. Get complete details of a specific Pipedrive product by ID including all pricing, tax, and custom fields
pd_list_products
Returns product name, unit price, code (SKU), unit type, and whether it is active. Use for product catalog browsing, inventory auditing, or when the user wants to see all available products. List all products in the Pipedrive product catalog with names, prices, codes, and unit information
pd_search_products
Returns product name, unit price, product code (SKU), unit type, and tax percentage. Use when the user wants to find a product, check pricing, or needs a product ID before attaching it to a deal. Search Pipedrive products by name to find items in the product catalog with prices, codes, and unit types
pd_update_product
Only specified fields change. Use when the user wants to rename a product, update its SKU code, or change pricing information. Update an existing Pipedrive product — change name, code, pricing, or other catalog properties
Example Prompts for Pipedrive Products in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Pipedrive Products immediately.
"Search for deals with Acme Corp"
"Create a call activity for tomorrow at 2pm"
"Show me the pipeline stages"
Troubleshooting Pipedrive Products MCP Server with Vercel AI SDK
Common issues when connecting Pipedrive Products to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPipedrive Products + Vercel AI SDK FAQ
Common questions about integrating Pipedrive Products 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 Pipedrive Products with your favorite client
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Connect Pipedrive Products to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.