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 Pydantic AI 3 tools — connect in under 2 minutes

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

ai.pydantic.dev/mcp

Built by Vinkius GDPR 3 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect X (Twitter) through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to X (Twitter) "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in X (Twitter)?"
    )
    print(result.data)

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.

Pydantic AI validates every X (Twitter) tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI via MCP

Follow these steps to integrate the X (Twitter) MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from X (Twitter) with type-safe schemas

Why Use Pydantic AI with the X (Twitter) MCP Server

Pydantic AI provides unique advantages when paired with X (Twitter) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your X (Twitter) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your X (Twitter) connection logic from agent behavior for testable, maintainable code

X (Twitter) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the X (Twitter) MCP Server delivers measurable value.

Type-safe data pipelines: query X (Twitter) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple X (Twitter) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query X (Twitter) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock X (Twitter) responses and write comprehensive agent tests

X (Twitter) MCP Tools for Pydantic AI (3)

These 3 tools become available when you connect X (Twitter) to Pydantic 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic 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 Pydantic AI

Common issues when connecting X (Twitter) to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

X (Twitter) + Pydantic AI FAQ

Common questions about integrating X (Twitter) MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your X (Twitter) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.