ChatBot.com 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 ChatBot.com 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 ChatBot.com, 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 ChatBot.com MCP Server
Connect your ChatBot.com account to any AI agent and take full control of your conversational automation through natural conversation. Streamline how you build and monitor your customer service bots.
The Vercel AI SDK gives every ChatBot.com 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
- Story Oversight — List and retrieve details for all conversational stories and bot workflows natively
- Interaction Intelligence — Access and monitor interactions within specific stories to understand user paths flawlessly
- User Management — List all users who have interacted with your bot and retrieve their detailed profiles securely
- Integration Auditing — List and review configured webhook integrations and entities flawlessly
- Training Logistics — Retrieve unrecognized phrases to identify areas where your bot needs additional training flawlessly
- System Metadata — Access entity definitions and core account structures directly within your workspace
The ChatBot.com 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 ChatBot.com to Vercel AI SDK via MCP
Follow these steps to integrate the ChatBot.com 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 ChatBot.com and passes them to the LLM
Why Use Vercel AI SDK with the ChatBot.com MCP Server
Vercel AI SDK provides unique advantages when paired with ChatBot.com 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 ChatBot.com integration everywhere
Built-in streaming UI primitives let you display ChatBot.com 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
ChatBot.com + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ChatBot.com MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ChatBot.com in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ChatBot.com tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ChatBot.com capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ChatBot.com through natural language queries
ChatBot.com MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect ChatBot.com to Vercel AI SDK via MCP:
get_chatbot_user_details
Get details for a specific chatbot user
get_story_details
Get detailed information for a specific story
list_chatbot_entities
List custom entities used for NLP matching
list_chatbot_stories
List all stories (bot workflows)
list_chatbot_users
List all users who have interacted with the bot
list_chatbot_webhooks
List all configured webhook integrations
list_story_interactions
List all interactions within a story
list_training_data
List unrecognized phrases that require bot training
Example Prompts for ChatBot.com in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ChatBot.com immediately.
"List all conversational stories in my account."
"What training data is pending review?"
"Search for users who interacted with the bot today."
Troubleshooting ChatBot.com MCP Server with Vercel AI SDK
Common issues when connecting ChatBot.com to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpChatBot.com + Vercel AI SDK FAQ
Common questions about integrating ChatBot.com 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 ChatBot.com 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 ChatBot.com to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.