100ms MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect 100ms 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 MCP SERVER
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 100ms, 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 100ms MCP Server
Connect your 100ms account to any AI agent and manage your live video infrastructure through natural conversation.
The Vercel AI SDK gives every 100ms tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Room Management — List all virtual rooms, retrieve deep technical metadata, and create new rooms with specific templates and descriptions
- Session Monitoring — Monitor active or completed video sessions in real-time and retrieve session history across your organization
- Participant Governance — List all peers (participants) currently in a session and retrieve their unique IDs and roles
- Peer Control — Remotely remove or kick participants from active sessions with custom reasons directly from your agent
- Recording Discovery — List and browse cloud recordings, filtered by room or status (completed, failed, or processing)
- Operational Insights — Quickly find unique room, session, and peer IDs required for automated video workflows
- Scalable Infrastructure — Verify your live video configurations and template settings through automated metadata retrieval
The 100ms MCP Server exposes 9 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 100ms to Vercel AI SDK via MCP
Follow these steps to integrate the 100ms 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 9 tools from 100ms and passes them to the LLM
Why Use Vercel AI SDK with the 100ms MCP Server
Vercel AI SDK provides unique advantages when paired with 100ms 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 100ms integration everywhere
Built-in streaming UI primitives let you display 100ms 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
100ms + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the 100ms MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query 100ms in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate 100ms tools and return structured JSON responses to any frontend
Chatbots with tool use: embed 100ms capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with 100ms through natural language queries
100ms MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect 100ms to Vercel AI SDK via MCP:
create_room
Use this when the user asks to start or host a new meeting space. Create a new video room
get_room
Requires the unique room ID. Get the configuration and details of a specific video room
get_session
Get the details and metadata of a specific video session
list_peers
Requires the session ID. List all participants currently inside an active video session
list_recordings
Can optionally filter by room ID or the status of the recording. List cloud recordings of video rooms
list_rooms
Use this to find a room ID. List all video rooms in the 100ms account
list_sessions
You can filter by room ID or status. Use this to find who attended past meetings. List active or past video sessions
remove_peer
Requires the session ID and the peer ID. Kick or remove a specific participant from an active video session
update_room
Requires the room ID. Update the settings of an existing video room
Example Prompts for 100ms in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with 100ms immediately.
"List all my video rooms in 100ms."
"Are there any active sessions for the 'Town Hall' room right now?"
"Remove participant 'peer-123' from the session 'sess-abc' for 'violating community guidelines'."
Troubleshooting 100ms MCP Server with Vercel AI SDK
Common issues when connecting 100ms to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcp100ms + Vercel AI SDK FAQ
Common questions about integrating 100ms 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 100ms 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 100ms to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.