How to Use the Pinterest Ads MCP in AutoGen

Deploy AutoGen multi-agent teams that debate Pinterest Ads performance and collaborate on budget decisions.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Pinterest Ads MCP to AutoGen

Create your Vinkius account to connect Pinterest Ads to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Pinterest Ads with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Consensus-Driven Pinterest Campaign Management in AutoGen

Set up a multi-agent debate where a performance agent and a budget agent negotiate your Pinterest Ads strategy. The performance agent uses `get_campaign_analytics` to lobby for scaling, while the budget agent checks `get_account_analytics` to enforce spending caps. Once the agents reach a consensus on the best course of action, they call `enable_campaign` or `pause_campaign` to execute the decision. This collaborative process ensures no single agent makes a reckless budget change without peer review.

Multi-Agent Pinterest Ads Creative Audits

Let specialized AutoGen agents audit your active pins. One agent pulls your creative inventory using `list_ads`, while another analyzes the corresponding performance metrics from `get_adgroup_analytics` to find the winners. This team-based approach allows your agents to cross-reference creative assets with hard financial data. The result is a highly detailed, collaborative audit that identifies exactly which designs are driving conversions.

Automated Structure Verification via AutoGen MCP Integration

Keep your campaign structures clean and organized using cooperative agents. Your AutoGen supervisor agent can coordinate tasks between discovery agents running `list_campaigns` and `list_adgroups` to map out your entire ad account. By integrating this MCP Server, your agents can flag naming convention errors or empty ad groups automatically. They resolve these discrepancies through internal discussion before presenting a clean, structured report to you.

Setup guide

Set up Pinterest Ads MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Pinterest Ads tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Pinterest Ads_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Pinterest Ads data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Pinterest Ads_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Pinterest Ads data")
    print(result.messages[-1].content)

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 Pinterest Ads. 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 Pinterest Ads 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 Pinterest Ads MCP in AutoGen

AutoGen agents collaborate by sharing the outputs of tools like `get_campaign_analytics` within their group chat. One agent can query the data, another can analyze the ROAS, and a third can execute `pause_campaign` based on the group's decision.

Yes, AutoGen supports human-in-the-loop execution. When an agent decides to trigger `enable_campaign` or `pause_campaign`, the framework can pause and ask for your approval before the MCP tool call is made.

You register the tools by passing the MCP server parameters to AutoGen's tool adapter. This automatically converts tools like `list_campaigns` into schemas that your `AssistantAgent` can understand and invoke during conversations.

Yes, you can split capabilities among your agents. For instance, you can give an analyst agent access to `get_account_analytics` while restricting the manager agent to execution tools like `pause_campaign`.

Your Pinterest campaign metrics and account configurations are never exposed to the LLM or the AutoGen framework. The Vinkius MCP gateway handles the API authentication securely, ensuring that only structured tool outputs are sent back to your agent conversation.

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