Beamer 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 Beamer 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 Beamer, 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 Beamer MCP Server
Connect your Beamer account to any AI agent and streamline your product communication and user engagement workflows through natural conversation.
The Vercel AI SDK gives every Beamer 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
- Post Management — Create, list, update, and delete product update posts to keep your users informed.
- User Engagement — Monitor Beamer notifications and track how users interact with your updates.
- Analytics Insights — Retrieve real-time analytics data to understand the reach and impact of your announcements.
- Feedback Collection — List and inspect user feedback and reactions to your product changes.
- User Auditing — List managed users within your Beamer project for better oversight.
The Beamer 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 Beamer to Vercel AI SDK via MCP
Follow these steps to integrate the Beamer 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 Beamer and passes them to the LLM
Why Use Vercel AI SDK with the Beamer MCP Server
Vercel AI SDK provides unique advantages when paired with Beamer 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 Beamer integration everywhere
Built-in streaming UI primitives let you display Beamer 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
Beamer + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Beamer MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Beamer in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Beamer tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Beamer capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Beamer through natural language queries
Beamer MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Beamer to Vercel AI SDK via MCP:
create_post
Create a new Beamer post
delete_post
Delete a Beamer post
get_analytics
Retrieve Beamer analytics data
get_feedback_details
Get details of specific feedback
get_post
Get details of a specific Beamer post
list_feedback
List customer feedback
list_notifications
List Beamer notifications
list_posts
List all Beamer posts
list_users
List Beamer users
update_post
Update an existing Beamer post
Example Prompts for Beamer in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Beamer immediately.
"List the last 5 posts published on Beamer."
"Create a new post titled 'Spring Update' with content 'We have improved performance by 20%.'"
"Show me the latest user feedback."
Troubleshooting Beamer MCP Server with Vercel AI SDK
Common issues when connecting Beamer to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBeamer + Vercel AI SDK FAQ
Common questions about integrating Beamer 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 Beamer 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 Beamer to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.