The Botforge MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to Get Bot Status, Get Samples, List Bots, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect The Botforge 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 for Vercel AI SDK
The The Botforge MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 The Botforge, 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 The Botforge MCP Server
Connect your The Botforge account to any AI agent and simplify how you manage your conversational AI, handle contact submissions, and monitor bot health through natural conversation.
The Vercel AI SDK gives every The Botforge tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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 Oversight — List all chatbots in your account and retrieve real-time operational status for specific bot IDs.
- Contact Submission — Programmatically submit data to your bot's contact forms, ideal for automated lead capture.
- Event Integration — Subscribe to bot events via webhooks to receive real-time updates on user interactions.
- Metadata Inspection — Retrieve sample data and form field configurations to understand your bot's data structure.
- Operational Monitoring — Check connectivity and verify if your bots are online and responsive via AI queries.
The The Botforge MCP Server exposes 5 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 5 The Botforge tools available for Vercel AI SDK
When Vercel AI SDK connects to The Botforge through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-platform, conversational-ai, lead-generation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get bot status on The Botforge
Check bot operational status
Get samples on The Botforge
Get bot form field samples
List bots on The Botforge
List all chatbots
Submit contact on The Botforge
Pass data as a JSON string. Submit data to the bot contact form
Subscribe webhook on The Botforge
Pass data as a JSON string. Subscribe to bot events via webhook
Connect The Botforge to Vercel AI SDK via MCP
Follow these steps to wire The Botforge into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the The Botforge MCP Server
Vercel AI SDK provides unique advantages when paired with The Botforge 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 The Botforge integration everywhere
Built-in streaming UI primitives let you display The Botforge 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
The Botforge + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the The Botforge MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query The Botforge in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate The Botforge tools and return structured JSON responses to any frontend
Chatbots with tool use: embed The Botforge capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with The Botforge through natural language queries
Example Prompts for The Botforge in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with The Botforge immediately.
"List all chatbots in my account."
"Submit a contact to the bot: { "first_name": "John", "email": "john@example.com", "message": "Interested in a demo" }."
"Check the operational status of bot 'bot_10293'."
Troubleshooting The Botforge MCP Server with Vercel AI SDK
Common issues when connecting The Botforge to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpThe Botforge + Vercel AI SDK FAQ
Common questions about integrating The Botforge 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.Explore More MCP Servers
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