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Pipedrive Deals MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Pipedrive Deals 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 Pipedrive Deals, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Pipedrive Deals MCP Server

Connect Pipedrive CRM to any AI agent — manage your entire sales pipeline without switching tabs.

The Vercel AI SDK gives every Pipedrive Deals 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

  • 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 Deals 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 Pipedrive Deals to Vercel AI SDK via MCP

Follow these steps to integrate the Pipedrive Deals 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 12 tools from Pipedrive Deals and passes them to the LLM

Why Use Vercel AI SDK with the Pipedrive Deals MCP Server

Vercel AI SDK provides unique advantages when paired with Pipedrive Deals 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 Pipedrive Deals integration everywhere

03

Built-in streaming UI primitives let you display Pipedrive Deals 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

Pipedrive Deals + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Pipedrive Deals MCP Tools for Vercel AI SDK (12)

These 12 tools become available when you connect Pipedrive Deals to Vercel AI SDK via MCP:

01

pd_create_deal

Title is required. Use pd_list_pipelines and pd_list_stages to find pipeline_id and stage_id. Link to existing contacts via person_id and org_id (use search tools to find these). Expected close date uses YYYY-MM-DD format. Create a new deal in Pipedrive with title, value, currency, expected close date, and pipeline/stage placement

02

pd_deal_followers

Followers receive notification updates about deal changes. Use to check who on the team is tracking a deal or to understand deal visibility across the organization. Get internal team members (users) following a specific deal in Pipedrive for visibility tracking

03

pd_deal_participants

Participants are contacts involved in the deal beyond the primary contact — e.g., decision makers, influencers, legal reviewers. Use when the user asks "who is involved in this deal?" or needs stakeholder information. Get all persons (contacts) participating in a specific Pipedrive deal

04

pd_deal_timeline

Use for trend analysis: "how many deals were created this month?", "show deal velocity over the last 12 weeks". Interval can be day/week/month, amount is the number of periods to look back. Get deal creation trends over time — how many deals were added per day, week, or month in a pipeline

05

pd_deals_by_pipeline

Use when the user wants to see all deals in a specific sales process (e.g., "show all deals in the Enterprise pipeline"). Find pipeline IDs using pd_list_pipelines. Get all deals in a specific pipeline for pipeline-level analysis and reporting

06

pd_deals_by_stage

Returns deals with title, value, persons, and orgs at that stage. Use for questions like "what deals are in Proposal?" or "how much is in Negotiation?". Find stage IDs using pd_list_stages. Get all deals at a specific pipeline stage for bottleneck analysis, forecasting, or stage-specific review

07

pd_delete_deal

This is permanent and removes all associated data. Consider using pd_update_deal with status="deleted" for soft-delete instead. Use only when the user explicitly wants to permanently remove a deal. Permanently delete a deal from Pipedrive — this action cannot be undone

08

pd_get_deal

Returns full deal data including title, value, stage, pipeline, linked persons/orgs, expected close date, creation date, and all custom fields. Use after searching to drill into a specific deal. Get the complete details of a specific Pipedrive deal by ID including all custom fields and history

09

pd_list_pipelines

Use to find pipeline IDs for filtering deals or creating new deals in a specific pipeline. List all sales pipelines in Pipedrive with names, deal counts, and active status

10

pd_list_stages

Essential for finding stage IDs to create, filter, or move deals. Shows each stage name, its order in the pipeline, and how many deals are at each stage. List stages within a Pipedrive pipeline showing names, display order, and deal counts per stage

11

pd_search_deals

Returns deal title, monetary value, currency, pipeline stage, pipeline name, linked person, and organization. Use when the user wants to find a specific deal or check pipeline status. Search Pipedrive deals by title or keyword to find opportunities with value, stage, pipeline, and linked contacts

12

pd_update_deal

Advance stage_id to move deals forward. Set status to "won" or "lost" to close. Update value after negotiation. Only specified fields change. Update a Pipedrive deal — advance stage, change value, or mark as won/lost to reflect pipeline progress

Example Prompts for Pipedrive Deals in Vercel AI SDK

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

01

"Search for deals with Acme Corp"

02

"Create a call activity for tomorrow at 2pm"

03

"Show me the pipeline stages"

Troubleshooting Pipedrive Deals MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Pipedrive Deals + Vercel AI SDK FAQ

Common questions about integrating Pipedrive Deals 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 Pipedrive Deals to Vercel AI SDK

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.