3,400+ MCP servers ready to use
Vinkius

Common Room MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Member, Create Webhook, Delete Member, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Common Room app connector for Vercel AI SDK is a standout in the Collaboration category — giving your AI agent 12 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 Common Room, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Common Room
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Common Room MCP Server

Connect your Common Room account to any AI agent and take full control of your community orchestration and B2B relationship intelligence through natural conversation.

The Vercel AI SDK gives every Common Room tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Member & Identity Orchestration — List and manage community profiles programmatically, using Person360™ technology to resolve cross-channel identities (Slack, Discord, GitHub, etc.)
  • Signal Ingestion — Programmatically ingest custom activity signals from social platforms and internal tools to maintain a high-fidelity record of member interactions
  • Audience Segmentation — Access and monitor community segments (Highly Engaged, At Risk, etc.) and tags to understand your community's behavioral health in real-time
  • Relationship Intelligence — Retrieve complete directories of community members and manage detailed metadata to perfectly coordinate your go-to-market outreach
  • Compliance & Privacy — Execute 'Right to be Forgotten' deletions programmatically and monitor API token status and webhooks directly through your agent

The Common Room MCP Server exposes 12 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 12 Common Room tools available for Vercel AI SDK

When Vercel AI SDK connects to Common Room through Vinkius, your AI agent gets direct access to every tool listed below — spanning community-intelligence, identity-resolution, signal-processing, 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.

create_member

Create a new community member

create_webhook

Configure a new webhook

delete_member

Remove member (GDPR)

delete_webhook

Delete a webhook

get_member

Get member details

get_token_status

Check API token status

ingest_activity

g., Slack post, social interaction) into a members timeline. Report community activity

list_members

List community members

list_segments

g., Highly Engaged, At Risk). List community segments

list_tags

List community tags

list_webhooks

List configured webhooks

update_member

Update member profile

Connect Common Room to Vercel AI SDK via MCP

Follow these steps to wire Common Room 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 12 tools from Common Room and passes them to the LLM

Why Use Vercel AI SDK with the Common Room MCP Server

Vercel AI SDK provides unique advantages when paired with Common Room 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 Common Room integration everywhere

03

Built-in streaming UI primitives let you display Common Room 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

Common Room + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Common Room in Vercel AI SDK

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

01

"List all members in the 'Highly Engaged' segment."

02

"Get the community profile for 'john@example.com'."

03

"Report a new Slack activity for member ID 'abc-123'."

Troubleshooting Common Room MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Common Room + Vercel AI SDK FAQ

Common questions about integrating Common Room 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.