Bot9 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 Bot9 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 Bot9, 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 Bot9 MCP Server
Connect your Bot9 account to any AI agent and orchestrate your customer support and conversational automation workflows through natural language.
The Vercel AI SDK gives every Bot9 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 Management — List all configured AI bots, retrieve specific configurations, and create new bots on the fly.
- Training & Data Sources — List existing knowledge base sources and dynamically add new URLs for your bots to learn from.
- Conversation Oversight — Retrieve active conversation lists and export historical chat logs for analysis.
- Message Automation — Send messages to your bots programmatically to test responses or simulate user interactions.
The Bot9 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 Bot9 to Vercel AI SDK via MCP
Follow these steps to integrate the Bot9 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 Bot9 and passes them to the LLM
Why Use Vercel AI SDK with the Bot9 MCP Server
Vercel AI SDK provides unique advantages when paired with Bot9 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 Bot9 integration everywhere
Built-in streaming UI primitives let you display Bot9 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
Bot9 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Bot9 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Bot9 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Bot9 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Bot9 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Bot9 through natural language queries
Bot9 MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Bot9 to Vercel AI SDK via MCP:
add_data_source
Add a URL to train the bot
create_bot
Create a new AI chatbot
get_bot
Get details of a specific bot
get_conversation_history
Retrieve message history of a conversation
list_bots
List all AI bots
list_conversations
List active conversations for a bot
list_data_sources
List knowledge base sources for a bot
send_message
Send a message to a bot and get a response
Example Prompts for Bot9 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Bot9 immediately.
"List all bots in my Bot9 account."
"Add the URL https://example.com/pricing to bot_123's knowledge base."
"Get the chat history for conversation conv_789 on bot_123."
Troubleshooting Bot9 MCP Server with Vercel AI SDK
Common issues when connecting Bot9 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBot9 + Vercel AI SDK FAQ
Common questions about integrating Bot9 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 Bot9 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 Bot9 to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.