Common Room 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 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.
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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 Common Room, 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 Common Room MCP Server
Connect your AI assistant to Common Room, the intelligent community growth platform that helps organizations find and build relationships with community members.
The Vercel AI SDK gives every Common Room 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
- Contact Search — Find community members by email, name, or external identity across connected platforms.
- Segment Management — List all segments, view member counts, and add or remove contacts from specific cohorts.
- Activity Tracking — Retrieve activity feeds to understand engagement patterns and identify key contributors.
The Common Room 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 Common Room to Vercel AI SDK via MCP
Follow these steps to integrate the Common Room 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 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.
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 Common Room integration everywhere
Built-in streaming UI primitives let you display Common Room 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
Common Room + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Common Room MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Common Room in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Common Room tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Common Room capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Common Room through natural language queries
Common Room MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Common Room to Vercel AI SDK via MCP:
add_contact_to_segment
Manually add a contact to a specific segment
get_contact_by_email
Retrieve detailed information about a member by their email
get_contact_tags
Get tags associated with a specific member
get_organization_details
Retrieve details of a specific organization
get_segment_status
Retrieve status and member count for a specific segment
list_activity_types
Retrieve a list of supported activity types in Common Room
list_segment_members
List contacts that belong to a specific segment
list_segments
Retrieve a list of all segments in Common Room
search_contacts
Search for contacts/members in your Common Room
search_organizations
Search for organizations in Common Room
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.
"Search for the member with email 'dev@example.com'."
"Show me all segments and their member counts."
"Add 'Alex Chen' to the 'Enterprise Leads' segment."
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.
createMCPClient is not a function
npm install @ai-sdk/mcpCommon Room + Vercel AI SDK FAQ
Common questions about integrating Common Room 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 Common Room 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 Common Room to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.