X (Twitter) MCP Server for Mastra AI 3 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect X (Twitter) through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"x-twitter": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "X (Twitter) Agent",
instructions:
"You help users interact with X (Twitter) " +
"using 3 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with X (Twitter)?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and X (Twitter) tool infrastructure. Connect 3 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the X (Twitter) MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 3 tools from X (Twitter) via MCP
Why Use Mastra AI with the X (Twitter) MCP Server
Mastra AI provides unique advantages when paired with X (Twitter) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add X (Twitter) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every X (Twitter) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
X (Twitter) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the X (Twitter) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query X (Twitter), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed X (Twitter) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query X (Twitter) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using X (Twitter) tools alongside other MCP servers
X (Twitter) MCP Tools for Mastra AI (3)
These 3 tools become available when you connect X (Twitter) to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting X (Twitter) to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpX (Twitter) + Mastra AI FAQ
Common questions about integrating X (Twitter) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Connect X (Twitter) to Mastra AI
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.