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X Ads (Twitter) MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

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

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 Ads (Twitter) "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())
X Ads (Twitter)
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Ads (Twitter) MCP Server

Empower your AI agent to orchestrate your entire advertising ecosystem on X (formerly Twitter) with X Ads, the platform for engaging with the global conversation in real-time. By connecting X Ads to your agent, you transform complex campaign management into a natural conversation. Your agent can instantly list your ad accounts, audit line item performance, and retrieve detailed analytics without you ever touching a dashboard. Whether you are driving website traffic or scaled video views, your agent acts as a real-time ad analyst, ensuring your marketing is always optimized and trend-aware.

Pydantic AI validates every X Ads (Twitter) tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

  • Account Auditing — List all ad accounts in your profile and retrieve detailed metadata, including status and funding instruments.
  • Campaign Oversight — List and audit campaigns, line items, and individual ads to maintain a structured view of your efforts.
  • Performance Intelligence — Retrieve detailed advertising analytics with flexible dates and metric groups to understand ROI.
  • Creative Governance — List promoted tweets and creative assets to ensure your content is correctly published and active.
  • Operational Monitoring — Quickly retrieve account-wide information to maintain strict organizational control.

The X Ads (Twitter) MCP Server exposes 8 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 Ads (Twitter) to Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

The agent discovers 8 tools from X Ads (Twitter) with type-safe schemas

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

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

01

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

02

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

03

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

04

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

X Ads (Twitter) + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

X Ads (Twitter) MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect X Ads (Twitter) to Pydantic AI via MCP:

01

get_ad_account

Get details for a specific ad account

02

get_analytics

Get analytics for ad entities

03

list_ad_accounts

List X (Twitter) Ads accounts

04

list_ads

List ads for an ad account

05

list_campaigns

List campaigns for an ad account

06

list_funding_instruments

List funding instruments for an account

07

list_line_items

List line items for an ad account

08

list_promoted_tweets

List promoted tweets for an account

Example Prompts for X Ads (Twitter) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with X Ads (Twitter) immediately.

01

"List all my X ad accounts."

02

"Show me active campaigns for account ID xxxx."

03

"Get an engagement report for last week."

Troubleshooting X Ads (Twitter) MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

X Ads (Twitter) + Pydantic AI FAQ

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

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect X Ads (Twitter) to Pydantic AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.