Coze MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Coze 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 Coze, 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 Coze MCP Server
Connect your AI agents to Coze (扣子), the advanced bot orchestration platform by ByteDance. This MCP provides 11 tools to manage the full lifecycle of your bots, from chat interactions to knowledge base document ingestion.
The Vercel AI SDK gives every Coze tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Bot Interaction — Chat with published bots and handle multi-turn conversations with persistent history
- Knowledge Engineering — Upload, list, and delete documents in knowledge base datasets for RAG optimization
- Workspace Management — List available spaces and published bots to monitor your AI ecosystem
- Action Handling — Submit tool outputs when bots require human-in-the-loop or external plugin results
The Coze MCP Server exposes 11 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 Coze to Vercel AI SDK via MCP
Follow these steps to integrate the Coze 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 11 tools from Coze and passes them to the LLM
Why Use Vercel AI SDK with the Coze MCP Server
Vercel AI SDK provides unique advantages when paired with Coze 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 Coze integration everywhere
Built-in streaming UI primitives let you display Coze 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
Coze + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Coze MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Coze in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Coze tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Coze capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Coze through natural language queries
Coze MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Coze to Vercel AI SDK via MCP:
clear_conversation
Clear all messages from a conversation session
create_chat
Send a message to a Coze bot and get a response
delete_document
Delete documents from a dataset by ID
get_conversation_history
Retrieve the message list from a conversation
list_bots
List published bots in a specific Coze Space
list_datasets
List knowledge base datasets in a Coze Space
list_workspaces
List available Coze workspaces/spaces
publish_bot
Publish a Coze Bot draft
submit_tool_outputs
Submit outputs for tools/plugins required by the bot
upload_document
Upload a raw text document to a Knowledge Base
upload_file_url
Upload an external file URL to Coze storage
Example Prompts for Coze in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Coze immediately.
"Chat with bot 'bot_123' and ask 'Tell me about the history of Tokyo'."
"List all active workspaces in my Coze account."
"Upload the content of 'manual.txt' to dataset 'ds_999'."
Troubleshooting Coze MCP Server with Vercel AI SDK
Common issues when connecting Coze to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCoze + Vercel AI SDK FAQ
Common questions about integrating Coze 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 Coze 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 Coze to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.