Pusher Channels MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Get Channel, List Channel Users, List Channels, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Pusher Channels 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 for Vercel AI SDK
The Pusher Channels MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Pusher Channels, 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 Pusher Channels MCP Server
Connect your Pusher Channels infrastructure to any AI agent to orchestrate real-time messaging and monitor your application's pub/sub health through natural language.
The Vercel AI SDK gives every Pusher Channels tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 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
- Event Broadcasting — Trigger single or batch events across multiple channels with custom JSON payloads to update your frontend instantly.
- Channel Monitoring — List all active channels, filter by prefix, and fetch specific metadata like subscription counts or user counts.
- Presence Management — Retrieve lists of user IDs currently subscribed to presence channels to understand real-time engagement.
- Session Control — Terminate all active WebSocket connections for a specific user ID to handle security incidents or forced logouts.
- State Inspection — Query the detailed state of any specific channel to debug message flow or connection metrics.
The Pusher Channels MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Pusher Channels tools available for Vercel AI SDK
When Vercel AI SDK connects to Pusher Channels through Vinkius, your AI agent gets direct access to every tool listed below — spanning real-time, websockets, pub-sub, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get channel on Pusher Channels
Fetch information for a specific channel
List channel users on Pusher Channels
Fetch users in a presence channel
List channels on Pusher Channels
Fetch multiple channels
Terminate user connections on Pusher Channels
Terminate all connections for a user
Trigger batch events on Pusher Channels
Trigger multiple events in a single batch
Trigger event on Pusher Channels
Max 10KB data payload. Trigger an event on one or more channels
Connect Pusher Channels to Vercel AI SDK via MCP
Follow these steps to wire Pusher Channels into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Pusher Channels MCP Server
Vercel AI SDK provides unique advantages when paired with Pusher Channels 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 Pusher Channels integration everywhere
Built-in streaming UI primitives let you display Pusher Channels 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
Pusher Channels + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Pusher Channels MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Pusher Channels in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Pusher Channels tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Pusher Channels capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Pusher Channels through natural language queries
Example Prompts for Pusher Channels in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Pusher Channels immediately.
"Trigger a 'new-order' event on the 'orders' channel with data '{"id": 123, "total": 50.00}'."
"List all active channels that start with 'presence-'."
"Terminate all connections for user ID 'user_999'."
Troubleshooting Pusher Channels MCP Server with Vercel AI SDK
Common issues when connecting Pusher Channels to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPusher Channels + Vercel AI SDK FAQ
Common questions about integrating Pusher Channels 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.Explore More MCP Servers
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