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Loopio MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Loopio through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

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 Loopio, 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 Loopio MCP Server

Connect your Loopio RFP management platform to your AI agent to transform proposal workflows into intelligent, conversational processes.

The Vercel AI SDK gives every Loopio tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through the 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

  • Browse Projects — List all your active RFPs, RFIs, and security questionnaires. Check progress, due dates, and completion status at a glance.
  • Search the Knowledge Library — Query your master library of pre-approved answers. Find exactly what you need before drafting new responses.
  • Review Questionnaire Responses — Fetch individual questions and their current answers from any project. Track what has been answered and what still needs attention.
  • Create New Submissions — Spin up new RFP projects instantly with name, deadline, company context, and owner assignment.
  • Manage Teams — List team members to identify who is available for project assignments and collaboration.

The Loopio MCP Server exposes 8 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 Loopio to Vercel AI SDK via MCP

Follow these steps to integrate the Loopio MCP Server with Vercel AI SDK.

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 8 tools from Loopio and passes them to the LLM

Why Use Vercel AI SDK with the Loopio MCP Server

Vercel AI SDK provides unique advantages when paired with Loopio 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 Loopio integration everywhere

03

Built-in streaming UI primitives let you display Loopio 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

Loopio + Vercel AI SDK Use Cases

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

01

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

02

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

03

Chatbots with tool use: embed Loopio capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Loopio through natural language queries

Loopio MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect Loopio to Vercel AI SDK via MCP:

01

create_submission

Requires a project name. Optionally accepts a description, company name, due date, project type, and owner ID. The project will be created in "Not Started" status and ready for team collaboration. Create a new RFP project/submission in Loopio

02

get_project

Use this to check the state of a specific RFP response. Get details of a specific Loopio project by ID

03

get_questionnaire_responses

If no entryId is provided, returns all entries and their current responses. Use this to review what answers have been drafted or finalized for RFP questions. Get responses for a specific questionnaire entry or all entries in a project

04

list_libraries

Each stack contains approved Q&A entries organized by category. Use this to discover which knowledge bases are available for searching. List all library stacks available in Loopio

05

list_projects

Each project represents an active RFP response or questionnaire. Use this to discover all ongoing and recent response initiatives. Optionally limit results with the limit parameter. List all Loopio projects (RFPs, RFIs, questionnaires) in your workspace

06

list_questionnaires

Each entry represents a question from an RFP, RFI, or security questionnaire that needs to be answered. Use this to understand the scope of a project and track which questions have been answered. List all questionnaire entries (questions) for a specific Loopio project

07

list_team_members

Use this to identify who is assigned to projects, find user IDs for assigning project ownership, or understand team composition. List all team members in your Loopio workspace

08

search_library

This is the primary way to find existing approved responses before drafting new answers. You can refine results with optional filters like tags, category, stack, and whether to search in questions or answers. Always use this before creating new library entries. Search the Loopio knowledge library for approved Q&A entries

Example Prompts for Loopio in Vercel AI SDK

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

01

"Search the Loopio library for our approved response about SOC 2 compliance."

02

"Create a new RFP project called 'Acme Corp Security Assessment' with a deadline of March 15th."

03

"Show me all open RFP projects and their completion percentage."

Troubleshooting Loopio MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Loopio + Vercel AI SDK FAQ

Common questions about integrating Loopio 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.

Connect Loopio to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.