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Stammer.ai MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 11 tools to Add Qa, Add Url, Create Chatbot, and more

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Stammer.ai 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 App Connector for Vercel AI SDK

The Stammer.ai app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 Stammer.ai, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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* 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 Stammer.ai MCP Server

Connect your Stammer.ai account to any AI agent to automate your white-label AI agency and chatbot orchestration. Stammer.ai provides a premier platform for agencies to build and resell custom AI agents, and this integration allows you to retrieve chatbot metadata, manage knowledge bases, and track sub-account performance through natural conversation.

The Vercel AI SDK gives every Stammer.ai 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

  • Chatbot Orchestration — List all managed chatbots and retrieve detailed profile metadata, including status and configuration programmatically.
  • Knowledge Base Lifecycle Management — Add new Q&A pairs and website URLs to your chatbots' knowledge base directly from the AI interface to ensure they are always informed.
  • Sub-Account & User Control — Access and monitor your agency's sub-accounts and user database to maintain a clear overview of your resell operations.
  • Message & Interaction Tracking — Retrieve recent chat messages and monitor conversational logs via natural language commands to ensure high-quality interactions.
  • Operational Monitoring — Check system health and manage agency metadata to ensure your white-label platform is always optimized.

The Stammer.ai 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.

All 11 Stammer.ai tools available for Vercel AI SDK

When Vercel AI SDK connects to Stammer.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning stammer-ai, white-label-ai, chatbot-builder, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_qa

Add a Q&A pair to knowledge base

add_url

Add a URL to scrape for knowledge base

create_chatbot

Create a new AI chatbot

get_chatbot

Get details for a specific chatbot

get_knowledge_base

Get the knowledge base for a chatbot

get_sub_account

Get details for a sub-account

list_chatbots

ai account. List all AI agents (chatbots)

list_knowledge_base

List knowledge base items for a chatbot

list_messages

List chat messages for a chatbot

list_sub_accounts

List all white-label sub-accounts

list_users

List all users

Connect Stammer.ai to Vercel AI SDK via MCP

Follow these steps to wire Stammer.ai into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 11 tools from Stammer.ai and passes them to the LLM

Why Use Vercel AI SDK with the Stammer.ai MCP Server

Vercel AI SDK provides unique advantages when paired with Stammer.ai through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Stammer.ai integration everywhere

03

Built-in streaming UI primitives let you display Stammer.ai tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Stammer.ai + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Stammer.ai MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Stammer.ai in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Stammer.ai tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Stammer.ai capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Stammer.ai through natural language queries

Example Prompts for Stammer.ai in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Stammer.ai immediately.

01

"List all active chatbots in my Stammer.ai account."

02

"Show me the performance analytics for all deployed AI chatbots with conversation metrics."

03

"Add 20 new FAQ entries to the Support Bot knowledge base from our latest help center articles."

Troubleshooting Stammer.ai MCP Server with Vercel AI SDK

Common issues when connecting Stammer.ai to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Stammer.ai + Vercel AI SDK FAQ

Common questions about integrating Stammer.ai MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.