GPTBots MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect GPTBots 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 GPTBots, 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 GPTBots MCP Server
Connect your GPTBots account to your AI agent and manage your enterprise AI infrastructure conversationally. Interact with your deployed bots, trigger complex automated workflows, and upload new documents to your knowledge bases without leaving your development environment.
The Vercel AI SDK gives every GPTBots tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 — List active conversations, review chat histories, and send messages directly to your deployed AI agents
- Knowledge Management — Browse available knowledge documents and upload new content to keep your bots' context up to date
- Workflow Automation — Trigger configured AI workflows and query their execution status programmatically
- Database Queries — List tables and records hosted within the GPTBots platform database
The GPTBots MCP Server exposes 8 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 GPTBots to Vercel AI SDK via MCP
Follow these steps to integrate the GPTBots 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 8 tools from GPTBots and passes them to the LLM
Why Use Vercel AI SDK with the GPTBots MCP Server
Vercel AI SDK provides unique advantages when paired with GPTBots 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 GPTBots integration everywhere
Built-in streaming UI primitives let you display GPTBots 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
GPTBots + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the GPTBots MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query GPTBots in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate GPTBots tools and return structured JSON responses to any frontend
Chatbots with tool use: embed GPTBots capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with GPTBots through natural language queries
GPTBots MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect GPTBots to Vercel AI SDK via MCP:
create_knowledge_document
Upload or create a document in the Knowledge Base
get_conversation
Get details and history of a specific conversation
list_conversations
List chat conversations with a bot
list_databases
List tables in the platform database
list_knowledge_documents
List documents in a Knowledge Base
query_workflow
Check the execution status of a triggered workflow
send_bot_message
Send a message to a GPTBots Agent
trigger_workflow
Trigger an automated workflow
Example Prompts for GPTBots in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with GPTBots immediately.
"List all recent conversations for bot ID 'bot_123xyz'."
"Trigger the onboarding workflow (ID: 'wf_456') and pass the parameter email='test@example.com'."
Troubleshooting GPTBots MCP Server with Vercel AI SDK
Common issues when connecting GPTBots to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGPTBots + Vercel AI SDK FAQ
Common questions about integrating GPTBots 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 GPTBots 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 GPTBots to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.