Froged MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Froged 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 Froged, 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 Froged MCP Server
Connect your Froged account to any AI agent to automate your customer success and support operations through the Model Context Protocol (MCP). Froged is an omnichannel customer service platform designed to improve retention and engagement. This MCP server enables you to track behavioral events, manage customer profiles, and participate in support conversations directly through natural conversation.
The Vercel AI SDK gives every Froged 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.
Key Features
- Contact Management — List all customer profiles, fetch detailed metadata, and programmatically create or update contacts to maintain a 360-degree view.
- Behavioral Event Tracking — Access recent user events and post custom behavioral data (e.g., 'plan_upgraded') to trigger automated marketing campaigns.
- Support Conversations — List active support chats across all channels and post replies to conversations seamlessly.
- Marketing Campaigns — Retrieve a list of all active marketing and in-app campaigns to monitor engagement.
- Knowledge Base Access — Fetch published help articles from your Knowledge Base to aid in self-service support.
- Real-time Synchronization — Keep your customer success data and support inbox perfectly aligned with your internal tools.
The Froged 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.
How to Connect Froged to Vercel AI SDK via MCP
Follow these steps to integrate the Froged 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 11 tools from Froged and passes them to the LLM
Why Use Vercel AI SDK with the Froged MCP Server
Vercel AI SDK provides unique advantages when paired with Froged 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 Froged integration everywhere
Built-in streaming UI primitives let you display Froged 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
Froged + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Froged MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Froged in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Froged tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Froged capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Froged through natural language queries
Froged MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Froged to Vercel AI SDK via MCP:
get_chat_details
Get conversation history
get_contact_details
Get contact metadata
list_behavioral_events
List tracked events
list_cs_contacts
List Froged contacts
list_kb_articles
List help articles
list_marketing_campaigns
List active campaigns
list_support_conversations
List support chats
send_chat_message
Send support reply
track_custom_event
Track user behavior
upsert_contact
Create/Update contact
verify_api_status
Verify API connection
Example Prompts for Froged in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Froged immediately.
"List my 5 most recent active support conversations."
"Track the event 'plan_upgraded' for user 'customer@email.com'."
"Show me the contact profile for 'jane@example.com'."
Troubleshooting Froged MCP Server with Vercel AI SDK
Common issues when connecting Froged to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFroged + Vercel AI SDK FAQ
Common questions about integrating Froged 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 Froged 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 Froged to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.