X (Twitter) MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect X (Twitter) 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 X (Twitter), 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 X (Twitter) MCP Server
Connect your X (Twitter) developer account to any AI agent and take full control of your social listening workflow through natural conversation.
The Vercel AI SDK gives every X (Twitter) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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
- Recent Tweet Search — Search for latest public discussions (up to past 7 days) across the network using exact keywords, hashtags, or handles
- User Lookups — Fetch precise profile metadata of a specific user by their @username, revealing follower counts, verified states, and biographies
- Tweet Introspection — Provide a raw Tweet ID and instantly collect isolated text content alongside full engagement metrics (likes, retweets)
The X (Twitter) MCP Server exposes 3 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 X (Twitter) to Vercel AI SDK via MCP
Follow these steps to integrate the X (Twitter) 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 3 tools from X (Twitter) and passes them to the LLM
Why Use Vercel AI SDK with the X (Twitter) MCP Server
Vercel AI SDK provides unique advantages when paired with X (Twitter) 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 X (Twitter) integration everywhere
Built-in streaming UI primitives let you display X (Twitter) 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
X (Twitter) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the X (Twitter) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query X (Twitter) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate X (Twitter) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed X (Twitter) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with X (Twitter) through natural language queries
X (Twitter) MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect X (Twitter) to Vercel AI SDK via MCP:
get_tweet_details
Retrieve the text and engagement metrics of a specific Tweet by its numeric ID
lookup_user_by_username
Do not include the "@" symbol. Fetch full details of a specific Twitter/X user by their @username (follower count, bio, verified status)
search_recent_tweets
Provide a search query string. Search for recent public tweets (up to last 7 days) using keywords, hashtags, or handles
Example Prompts for X (Twitter) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with X (Twitter) immediately.
"Search for tweets mentioning 'Vinkius Cloud' over the last couple days."
"Look up the profile details for 'elonmusk'."
"Get the engagement stats for tweet ID 123456789."
Troubleshooting X (Twitter) MCP Server with Vercel AI SDK
Common issues when connecting X (Twitter) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpX (Twitter) + Vercel AI SDK FAQ
Common questions about integrating X (Twitter) 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 X (Twitter) 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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 X (Twitter) to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.