Collect MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Collect 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 Collect, 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 Collect MCP Server
Connect your AI to Collect, the secure platform for gathering information and documents from clients.
The Vercel AI SDK gives every Collect tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Campaign Management — List active data collection campaigns and check their completion status.
- Request Sending — Send new data requests to clients by email for KYC, onboarding, or compliance workflows.
- Status Tracking — Check the status of individual requests, view messages, and monitor completion.
The Collect MCP Server exposes 10 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 Collect to Vercel AI SDK via MCP
Follow these steps to integrate the Collect 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 10 tools from Collect and passes them to the LLM
Why Use Vercel AI SDK with the Collect MCP Server
Vercel AI SDK provides unique advantages when paired with Collect 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 Collect integration everywhere
Built-in streaming UI primitives let you display Collect 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
Collect + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Collect MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Collect in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Collect tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Collect capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Collect through natural language queries
Collect MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Collect to Vercel AI SDK via MCP:
create_request
Send a new data collection request to a recipient
get_campaign
Retrieve detailed information about a specific campaign
get_element_details
Retrieve details of a specific element (field/block) in a request
get_request
Retrieve details of a specific data request
get_team_info
Retrieve information about your team in Collect
get_user_info
Retrieve information about the currently authenticated user
list_campaigns
Retrieve a list of all data collection campaigns in Collect
list_messages
Retrieve a list of messages sent through Collect
list_requests
Retrieve all data requests for a specific campaign
send_message
Send a message to a recipient regarding a specific request
Example Prompts for Collect in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Collect immediately.
"Show me all active data collection campaigns."
"Send a data request to 'John Doe' (john@example.com) for the 'KYC Process' campaign."
"Send an automatic reminder to all clients with missing documents in the 'Tax 2025' campaign."
Troubleshooting Collect MCP Server with Vercel AI SDK
Common issues when connecting Collect to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCollect + Vercel AI SDK FAQ
Common questions about integrating Collect 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 Collect 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 Collect to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.