FynCom MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Add Reward Lead, Get Campaign Details, Get Wallet Balance, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect FynCom 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 FynCom app connector for Vercel AI SDK is a standout in the Customer Support category — giving your AI agent 6 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 FynCom, 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 FynCom MCP Server
Connect your FynCom account to any AI agent and take full control of your user incentives and reward operations through natural conversation.
The Vercel AI SDK gives every FynCom tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Reward Orchestration — Send instant cryptocurrency or fiat rewards to users or email addresses programmatically to incentivize engagement and feedback
- Campaign Management — Access and monitor your active reward campaigns and retrieve detailed performance and lead metadata in real-time
- Lead Engagement Tracking — Add leads to specific reward workflows programmatically from your AI agent to trigger automated incentives and follow-ups
- Wallet Intelligence — Check your real-time rewards wallet balance directly through your agent to ensure uninterrupted delivery of user incentives
- Transaction Oversight — Get a comprehensive overview of your reward history and campaign health using natural language commands
The FynCom MCP Server exposes 6 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 6 FynCom tools available for Vercel AI SDK
When Vercel AI SDK connects to FynCom through Vinkius, your AI agent gets direct access to every tool listed below — spanning micro-payments, incentives, rewards, 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.
Pass data in JSON. Add a lead to a reward campaign
Get specific campaign details
Check current rewards wallet balance
List active reward campaigns
List history of sent rewards
Pass data as a JSON string. Send a reward or incentive
Connect FynCom to Vercel AI SDK via MCP
Follow these steps to wire FynCom into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the 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 FynCom MCP Server
Vercel AI SDK provides unique advantages when paired with FynCom 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 FynCom integration everywhere
Built-in streaming UI primitives let you display FynCom 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
FynCom + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the FynCom MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query FynCom in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate FynCom tools and return structured JSON responses to any frontend
Chatbots with tool use: embed FynCom capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with FynCom through natural language queries
Example Prompts for FynCom in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with FynCom immediately.
"List all active reward campaigns in FynCom."
"Send a $5 reward to 'user@example.com'."
"Check my FynCom wallet balance."
Troubleshooting FynCom MCP Server with Vercel AI SDK
Common issues when connecting FynCom to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFynCom + Vercel AI SDK FAQ
Common questions about integrating FynCom 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.