2,500+ MCP servers ready to use
Vinkius

Pipeline CRM 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 Pipeline CRM 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 Pipeline CRM, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Pipeline CRM
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Pipeline CRM MCP Server

Connect your Pipeline CRM account to any AI agent and take full control of your sales pipeline and contact management through natural conversation.

The Vercel AI SDK gives every Pipeline CRM 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

  • Contact Oversight — List all people and companies in your CRM and retrieve detailed profile metadata.
  • Sales Pipeline Tracking — List and retrieve details for all active deals to stay on top of your revenue goals.
  • Task & Event Management — List pending tasks and calendar events to organize your daily sales activities.
  • Note & Comment Auditing — Retrieve recent notes and comments to understand the history of any lead or deal.
  • User & Account Visibility — List account users and retrieve global settings to maintain visibility over your team's access.

The Pipeline CRM 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 Pipeline CRM to Vercel AI SDK via MCP

Follow these steps to integrate the Pipeline CRM 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 Pipeline CRM and passes them to the LLM

Why Use Vercel AI SDK with the Pipeline CRM MCP Server

Vercel AI SDK provides unique advantages when paired with Pipeline CRM 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 Pipeline CRM integration everywhere

03

Built-in streaming UI primitives let you display Pipeline CRM 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

Pipeline CRM + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Pipeline CRM MCP Tools for Vercel AI SDK (10)

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

01

get_pipeline_account

Get account settings and info

02

get_pipeline_deal

Get details for a specific deal

03

get_pipeline_person

Get details for a specific person

04

list_pipeline_companies

List companies in the CRM

05

list_pipeline_deals

List sales deals

06

list_pipeline_events

List calendar events

07

list_pipeline_notes

List recent notes/comments

08

list_pipeline_people

List people in Pipeline CRM

09

list_pipeline_tasks

List pending tasks

10

list_pipeline_users

List account users

Example Prompts for Pipeline CRM in Vercel AI SDK

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

01

"List all active deals in my sales pipeline."

02

"Show me the last 5 people added to my contacts."

03

"What tasks are assigned to me for today?"

Troubleshooting Pipeline CRM MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Pipeline CRM + Vercel AI SDK FAQ

Common questions about integrating Pipeline CRM 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 Pipeline CRM to Vercel AI SDK

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