How to Use the X Ads (Twitter) MCP in Pydantic AI

Q: Can I list all X Ads (Twitter) accounts using Pydantic AI?

Yes. The agent calls listadaccounts, and the response is immediately checked against your model. If it's malformed, your entire process stops with a helpful error, not silent failure.

Q: If I want to see recent promotions in X Ads (Twitter) with Pydantic AI, what tool do I use?

Use listpromotedtweets. Because the data is validated against your models, you can trust that every tweet object returned has all the fields you expect it to have.

Build reliable X Ads (Twitter) audits with Pydantic AI's type safety.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect X Ads (Twitter) MCP to Pydantic AI

Create your Vinkius account to connect X Ads (Twitter) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup X Ads (Twitter) with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Audit Ad Accounts and Line Items

When your agent needs to audit ad accounts, it calls `list_ad_accounts`, and every single account ID returned is validated against a Pydantic model. This means you don't get corrupted data. Need to inspect creative assets? Use `list_line_items`. Because the response structure is type-safe, your agent will fail loudly if the API sends unexpected fields—you know immediately when something breaks.

Track Promoted Tweets and Ads

The server handles content auditing via `list_promoted_tweets`. When this runs, every tweet object it returns must match a Pydantic schema. This guarantees the data you're analyzing is clean. You can cross-check promoted tweets with general ad listings using `list_ads`, ensuring that both the creative and the associated metadata are correct according to your defined types.

Get Detailed Performance Analytics

Performance metrics are handled by `get_analytics`. Critically, every metric returned—clicks, impressions, etc.—is validated against a specific schema. This eliminates guesswork when analyzing ad performance. If you need to track spending or setup details, use tools like `list_campaigns` and `list_funding_instruments`. The Pydantic validation ensures that the data types (like dates or currency) are always correct.

Setup guide

Set up X Ads (Twitter) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "x-ads-twitter-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to X Ads (Twitter) tools.",
)

result = await agent.run("List recent X Ads (Twitter) transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by X Ads (Twitter). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect X Ads (Twitter) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about X Ads (Twitter) MCP in Pydantic AI

Your agent uses the unified toolset, which connects to the server's HTTP endpoint. The core value is that every piece of data—whether from `list_ad_accounts` or any other tool—is validated against your Python types.

This server touches ad account details, including campaign names and line items. Since type validation occurs at runtime, you get explicit confirmation of what fields were successfully accessed.

Yes. The agent calls `list_ad_accounts`, and the response is immediately checked against your model. If it's malformed, your entire process stops with a helpful error, not silent failure.

Use `list_promoted_tweets`. Because the data is validated against your models, you can trust that every tweet object returned has all the fields you expect it to have.

Absolutely. The entire framework validates every single API response using Pydantic models, guaranteeing that the structure and types of all ad entities are correct before your code runs.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript