Numbers API MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Numbers API 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 Numbers API, 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 Numbers API MCP Server
Equip your AI agent with interesting facts and historical context for any number or date via the Numbers API. This server provides instant access to trivia, mathematical properties, and historical events associated with specific numbers and years. Your agent can retrieve date-specific facts, audit mathematical patterns, and provide random interesting context for numerical data without any manual search. Whether you are adding color to a presentation or verifying historical timelines, your agent acts as a dedicated numerical encyclopedia through natural conversation.
The Vercel AI SDK gives every Numbers API tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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
- Trivia Discovery — Retrieve fun and unusual facts for any integer or random number.
- Math Intelligence — Access technical mathematical properties and interesting patterns for specific numbers.
- Date Auditing — Fetch historical events that occurred on any specific month and day of the year.
- Yearly Context — Retrieve significant historical milestones and facts for any given year.
- Random Inspiration — Get a completely random fact across all categories to discover new knowledge.
The Numbers API MCP Server exposes 5 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 Numbers API to Vercel AI SDK via MCP
Follow these steps to integrate the Numbers API 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 5 tools from Numbers API and passes them to the LLM
Why Use Vercel AI SDK with the Numbers API MCP Server
Vercel AI SDK provides unique advantages when paired with Numbers API 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 Numbers API integration everywhere
Built-in streaming UI primitives let you display Numbers API 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
Numbers API + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Numbers API MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Numbers API in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Numbers API tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Numbers API capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Numbers API through natural language queries
Numbers API MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect Numbers API to Vercel AI SDK via MCP:
get_date_fact
Get a fact about a date
get_math_fact
Get a mathematical fact about a number
get_random_fact
Get a random fact
get_trivia_fact
Get a trivia fact about a number
get_year_fact
Get a fact about a year
Example Prompts for Numbers API in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Numbers API immediately.
"Tell me a trivia fact about the number 42."
"What happened on October 24th in history?"
"Give me a random math fact."
Troubleshooting Numbers API MCP Server with Vercel AI SDK
Common issues when connecting Numbers API to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNumbers API + Vercel AI SDK FAQ
Common questions about integrating Numbers API 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 Numbers API 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 Numbers API to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.