How do I get a Moloco API Key?

You can generate an API Key in the Moloco Ads Developer Portal. This key allows the server to authenticate requests on your behalf.

Can I pause a campaign using this server?

Yes! Use the `update_campaign_status` tool and set the status to 'PAUSED'. You can also re-enable it by setting the status to 'ENABLED'.

What kind of analytics reports can I generate?

The `get_analytics_report` tool allows you to retrieve performance metrics for an AdAccount within a specific date range, helping you track spend, impressions, and conversions.

Moloco MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Moloco
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Moloco through 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 Moloco "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Moloco?"
    )
    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 Moloco MCP Server

Connect your Moloco Ads account to your AI agent and manage your programmatic advertising campaigns through natural conversation.

Pydantic AI validates every Moloco tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through 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

AdAccount Overview — List all advertising accounts and view their high-level status and balances.
Campaign Tracking — Fetch all campaigns for an account, monitor active ones, and update statuses (ENABLED/PAUSED).
AdGroup & Creative Insights — List ad groups and creative asset groups to understand your target segments and visuals.
Performance Reporting — Generate analytics reports for specific time ranges to track ROI and engagement.
Conversion Tracking — View recorded conversion events and monitor attribution tracking links.
Deep Inspection — Retrieve detailed configuration and metadata for specific campaigns.

The Moloco MCP Server exposes 10 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 Moloco to Pydantic AI via MCP

Follow these steps to integrate the Moloco 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 10 tools from Moloco with type-safe schemas

Why Use Pydantic AI with the Moloco MCP Server

Pydantic AI provides unique advantages when paired with Moloco 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 Moloco integration code

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

Dependency injection system cleanly separates your Moloco connection logic from agent behavior for testable, maintainable code

Moloco + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Moloco MCP Server delivers measurable value.

Type-safe data pipelines: query Moloco with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Moloco tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Moloco and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Moloco responses and write comprehensive agent tests

Moloco MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Moloco to Pydantic AI via MCP:

get_account_balance

Check AdAccount balance

get_analytics_report

Get performance analytics report

get_campaign

Get campaign details

list_ad_accounts

List Moloco AdAccounts

list_ad_groups

List ad groups in a campaign

list_campaigns

List campaigns in an AdAccount

list_conversions

List recorded conversion events

list_creative_groups

List creative asset groups

list_tracking_links

List attribution tracking links

update_campaign_status

g., ENABLED, PAUSED). Update campaign status

Example Prompts for Moloco in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Moloco immediately.

"List all active campaigns in my primary AdAccount."

"Pause the campaign with ID cp_98765."

"Check the balance for AdAccount AC-12345."

Troubleshooting Moloco MCP Server with Pydantic AI

Common issues when connecting Moloco to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Moloco + Pydantic AI FAQ

Common questions about integrating Moloco 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 Moloco MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.