How to Use the Facebook Ads MCP in CrewAI

Q: How do I configure Facebook Ads tools for CrewAI?

Pass the server URL directly into your agent's mcps list. CrewAI will handle the connection and expose the tools for your agents to use.

Q: How do I filter Facebook Ads tools for a CrewAI agent?

Use toolfilter in your agent definition to limit which tools are exposed. This prevents agents from running commands they don't need.

Deploy a specialized crew of agents in CrewAI to monitor and manage your Facebook Ads performance.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Facebook Ads MCP to CrewAI

Create your Vinkius account to connect Facebook Ads to CrewAI 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 Facebook Ads with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Role-based Facebook Ads management in CrewAI

Assign a researcher agent to `list_campaigns` and a moderator agent to `update_ad_status`. They share memory to ensure the moderator only acts on verified data. This keeps your operations structured. Each agent focuses on a single part of the process, reducing the risk of accidental status changes.

Real-time performance monitoring for CrewAI

Your monitor agent calls `get_insights` repeatedly to track trends. If it detects a shift, it signals the rest of the crew to investigate specific ad sets via `get_ad_set_details`. It allows for autonomous oversight. The crew maintains a constant watch over your ad spend and performance metrics.

Scalable ad operations with CrewAI

Use the MCP Server to feed data to your crew for large-scale analysis. Agents can process thousands of ads by calling `list_ads` and filtering the results based on your criteria. This is for high-volume accounts. The crew handles the heavy lifting, only alerting you when they find something that requires a manual decision.

Setup guide

Set up Facebook 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 Facebook Ads tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Facebook 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="Facebook Ads Analyst",
        goal="Access and analyze Facebook Ads data via MCP.",
        backstory="Expert analyst with direct Facebook Ads access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Facebook 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 Facebook 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 Facebook 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 Facebook Ads MCP in CrewAI

Pass the server URL directly into your agent's `mcps` list. CrewAI will handle the connection and expose the tools for your agents to use.

Yes. Agents share a common memory space, allowing one to research campaigns with `get_campaign_details` and another to act on that info.

It is. You can build a crew where one agent is tasked with running `update_campaign_status` when a specific performance target isn't met.

Use `tool_filter` in your agent definition to limit which tools are exposed. This prevents agents from running commands they don't need.

The server runs in an ephemeral V8 sandbox. It processes your ad account IDs and performance data without persisting any sensitive information outside the task runtime.

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