How to Use the Pinterest Ads MCP in CrewAI
Use the Pinterest Ads MCP server to give your CrewAI agents direct control over campaign budgets and performance data.
Works with every AI agent you already use
…and any MCP-compatible client
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.
Key Capabilities
Automate campaign status changes
Your CrewAI agents can trigger `enable_campaign` or `pause_campaign` based on real-time ROAS thresholds. This removes the need for manual oversight when managing high-volume ad cycles. Define a monitor agent to watch spend and a manager agent to execute status toggles. This setup keeps your ad account active only when performance metrics hit your target goals.
Pull granular performance data
Feed `get_account_analytics`, `get_adgroup_analytics`, and `get_campaign_analytics` directly into your CrewAI research agents. They can compare historical spend against current conversion rates without you digging through the Pinterest dashboard. Use these insights to build an autonomous pipeline where agents refine bids. By piping this data into shared memory, your crew maintains a consistent strategy across all active ad groups.
Inventory and asset discovery
Your agents use `list_campaigns`, `list_adgroups`, and `list_ads` to map out your entire account structure. This gives your CrewAI team full visibility into which Pins are driving traffic. Once the agents identify underperforming assets, they can cross-reference that list with analytics tools. It turns your ad management into a self-correcting loop that reacts to market shifts in seconds.
Set up Pinterest Ads MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Pinterest Ads tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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) 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.
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 CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Pinterest Ads MCP today
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