Pipeliner 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 Pipeliner 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 Pipeliner, 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 Pipeliner MCP Server
Connect your Pipeliner CRM space to any AI agent and take full control of your sales ecosystem through natural conversation.
The Vercel AI SDK gives every Pipeliner 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
- Lead & Opportunity Oversight — List and retrieve detailed metadata for leads and sales opportunities across your workspace.
- Sales Pipeline Management — List available pipelines and track the progress of deals through different stages.
- Workforce Visibility — List company accounts, business contacts, and team members to maintain a clear view of your stakeholders.
- Activity & Task Tracking — Monitor sales activities and assigned tasks to ensure your team stays productive.
- Detailed Entity Inspections — Get deep-dive details for any specific lead or opportunity to understand its full history.
The Pipeliner 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 Pipeliner to Vercel AI SDK via MCP
Follow these steps to integrate the Pipeliner 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 Pipeliner and passes them to the LLM
Why Use Vercel AI SDK with the Pipeliner MCP Server
Vercel AI SDK provides unique advantages when paired with Pipeliner 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 Pipeliner integration everywhere
Built-in streaming UI primitives let you display Pipeliner 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
Pipeliner + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Pipeliner MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Pipeliner in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Pipeliner tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Pipeliner capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Pipeliner through natural language queries
Pipeliner MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Pipeliner to Vercel AI SDK via MCP:
get_pipeliner_lead
Get details for a specific lead
get_pipeliner_opportunity
Get details for a specific opportunity
list_pipeliner_accounts
List all company accounts
list_pipeliner_activities
List sales activities and tasks
list_pipeliner_contacts
List all business contacts
list_pipeliner_leads
List all sales leads
list_pipeliner_opportunities
List all sales opportunities
list_pipeliner_pipelines
List available sales pipelines
list_pipeliner_tasks
List all assigned tasks
list_pipeliner_users
List users in the Pipeliner space
Example Prompts for Pipeliner in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Pipeliner immediately.
"List all sales opportunities in the 'Enterprise' pipeline."
"Show me the last 5 leads added to Pipeliner."
"What are my sales activities for this week?"
Troubleshooting Pipeliner MCP Server with Vercel AI SDK
Common issues when connecting Pipeliner to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPipeliner + Vercel AI SDK FAQ
Common questions about integrating Pipeliner 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 Pipeliner 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 Pipeliner to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.