Can my AI search for tweets containing a specific competitor's hashtag?

Yes. Ask the agent to run a recent search tool utilizing your query (e.g., '#competitor'). It will grab the last 10 matching tweets within seconds, giving you raw sentiment and user commentary without opening the app.

How far back in time can the agent search for tweets?

The tool uses the standard v2 API limited to Recent Searches. This means the agent can perfectly fetch any matching tweets published in the last 7 days. It is optimized for reactive, fast-paced monitoring workflows.

Can it tell me if a specific user is verified or how many followers they have?

Absolutely. Providing the agent with the user's handle will invoke the lookup tool. It returns exactly what the developer sees: the verified status, follower metrics, account description, and geographic location if public.

X (Twitter) MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes

Name: X (Twitter)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 3 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect X (Twitter) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

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Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="X (Twitter) Assistant",
            instructions=(
                "You help users interact with X (Twitter). "
                "You have access to 3 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from X (Twitter)"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 OpenAI Agents SDK auto-discovers all 3 tools from X (Twitter) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries X (Twitter), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the X (Twitter) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 3 tools from X (Twitter)

Why Use OpenAI Agents SDK with the X (Twitter) MCP Server

OpenAI Agents SDK provides unique advantages when paired with X (Twitter) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

X (Twitter) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the X (Twitter) MCP Server delivers measurable value.

Automated workflows: build agents that query X (Twitter), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries X (Twitter), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through X (Twitter) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query X (Twitter) to resolve tickets, look up records, and update statuses without human intervention

X (Twitter) MCP Tools for OpenAI Agents SDK (3)

These 3 tools become available when you connect X (Twitter) to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting X (Twitter) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

X (Twitter) + OpenAI Agents SDK FAQ

Common questions about integrating X (Twitter) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.