How to Use the Pinterest Ads MCP in CrewAI

Coordinate specialized agents to manage Pinterest Ads at scale with CrewAI.

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 CrewAI

Create your Vinkius account to connect Pinterest Ads to CrewAI — 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 CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Multi-agent Pinterest Ads research

Assign a research agent to call `list_pinterest_keywords` and `list_pinterest_pins` to find high-performing content. Another agent then synthesizes this data into a strategy. Your crew works in parallel. It saves you hours of manual digging through campaign reports.

Autonomous Pinterest Ads optimization

Deploy a monitor agent to watch `get_pinterest_analytics` for anomalies. When it finds a dip, it alerts the executor agent to pull current campaign data using `get_pinterest_campaign`. This is a hands-off approach to performance management. You set the goals, and the crew handles the execution.

Organized Pinterest Ads board management

Use a content agent to audit your boards with `list_pinterest_boards` and compare them against your latest ads. It ensures your creative alignment stays tight. Your agents maintain the consistency you need. It turns a massive account into a manageable set of tasks.

Setup guide

Set up Pinterest Ads MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Pinterest Ads tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Pinterest Ads Analyst",
    goal="Access and analyze Pinterest Ads data via MCP.",
    backstory="Expert analyst with direct Pinterest Ads access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Pinterest Ads transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Pinterest Ads Analyst",
        goal="Access and analyze Pinterest Ads data via MCP.",
        backstory="Expert analyst with direct Pinterest Ads access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Pinterest Ads transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.