MeiQia 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 MeiQia through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 MeiQia, 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 MeiQia MCP Server
Empower your AI agent to orchestrate your customer engagement with MeiQia (美洽), the premier live chat and CRM platform for modern businesses. By connecting MeiQia to your agent, you transform complex conversation tracking and customer relationship management into a natural conversation. Your agent can instantly list active chats, retrieve full message histories, update customer profiles, and even monitor agent workloads without you needing to navigate the web interface. Whether you are managing real-time sales queries or resolving support issues, your agent acts as a real-time engagement assistant, keeping your data accurate and your communication responsive.
The Vercel AI SDK gives every MeiQia 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
- Conversation Orchestration — List all active and closed conversations across your MeiQia workspace.
- Message Management — Retrieve full message histories and send agent responses directly through the chat interface.
- Customer CRM Control — Browse and manage customer profiles, including contact details and interaction history.
- Agent Coordination — Monitor support agents and retrieve their real-time online status.
- Performance Insights — Retrieve high-level summaries of team workload and engagement statistics.
The MeiQia 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 MeiQia to Vercel AI SDK via MCP
Follow these steps to integrate the MeiQia 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 MeiQia and passes them to the LLM
Why Use Vercel AI SDK with the MeiQia MCP Server
Vercel AI SDK provides unique advantages when paired with MeiQia 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 MeiQia integration everywhere
Built-in streaming UI primitives let you display MeiQia 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
MeiQia + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the MeiQia MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query MeiQia in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate MeiQia tools and return structured JSON responses to any frontend
Chatbots with tool use: embed MeiQia capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with MeiQia through natural language queries
MeiQia MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect MeiQia to Vercel AI SDK via MCP:
create_customer
Create a new customer
get_agent_status
Get agent online status
get_conversation
Get conversation details
get_customer
Get customer details
get_workload_summary
Get team workload summary
list_agents
List support agents
list_conversations
List live chat conversations
list_customers
List CRM customers
list_messages
List conversation messages
send_message
Send message to customer
Example Prompts for MeiQia in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with MeiQia immediately.
"List all open conversations on MeiQia."
"Send a reply to conversation 'conv-8821' saying 'We are looking into this for you'."
"Show me the profile for customer 'Mario'."
Troubleshooting MeiQia MCP Server with Vercel AI SDK
Common issues when connecting MeiQia to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMeiQia + Vercel AI SDK FAQ
Common questions about integrating MeiQia 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 MeiQia 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 MeiQia to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.