How to Use the Xiaoshouyi / Neocrm MCP in Vercel AI SDK

Q: How do I search for Xiaoshouyi / Neocrm leads using Vercel AI SDK?

You call listleads from your client. The results stream back, allowing you to build a searchable list right in your Next.js UI. This method gives users instant feedback on the data being pulled.

Q: How do I list organization users for Xiaoshouyi / Neocrm using Vercel AI SDK?

Just call listusers. The function returns a stream of user records, giving you the names and IDs needed to build an administrative panel or dropdown selector in your frontend.

Real-time CRM data display with Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Xiaoshouyi / Neocrm MCP to Vercel AI SDK

Create your Vinkius account to connect Xiaoshouyi / Neocrm to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Xiaoshouyi / Neocrm with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Displaying Xiaoshouyi / Neocrm Data in Real Time

When you call `get_lead`, the MCP Server streams the lead's details directly into your React component. Users see the data pop up live, without waiting for a generic loading spinner. This real-time stream makes building complex user interfaces much smoother. Your AI client handles the connection and sends clean JSON payloads right where you need them.

Managing Contact Lists with MCP Server

Need to show a list of contacts? Use `list_contacts` to pull all necessary information. The results stream over, letting your frontend build the contact table piece by piece. It’s perfect for client-facing tools where latency matters. You get data updates instantly, making the whole experience feel snappy and native.

Creating New Records in Xiaoshouyi / Neocrm

When a user clicks 'New Opportunity,' your agent calls `create_opportunity`. The MCP Server handles the creation on the backend, returning confirmation data as it streams back to you. This means your UI can show immediate feedback—like 'Success! Opp created'—as soon as the API confirms it. It keeps the user engaged and informed.

Setup guide

Set up Xiaoshouyi / Neocrm MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Xiaoshouyi / Neocrm tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Xiaoshouyi / Neocrm transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Xiaoshouyi / Neocrm. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Xiaoshouyi / Neocrm now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Xiaoshouyi / Neocrm MCP in Vercel AI SDK

You call `list_leads` from your client. The results stream back, allowing you to build a searchable list right in your Next.js UI. This method gives users instant feedback on the data being pulled.

Yes, you can chain multiple calls. For example, first list accounts using `list_accounts`, and then pass the IDs to an agent function that uses those records. The streaming nature keeps everything feeling cohesive.

This server touches lead, contact, opportunity, and account data. Since it streams results, your client receives structured JSON containing fields like names, dates, and IDs for immediate consumption.

Absolutely. The Vercel AI SDK is designed to work in Edge Functions, which keeps your connections fast and close to your users. You don't have to worry about data transfer bottlenecks.

Just call `list_users`. The function returns a stream of user records, giving you the names and IDs needed to build an administrative panel or dropdown selector in your frontend.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript