Facebook Ads MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Facebook Ads through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Facebook Ads Assistant",
instructions=(
"You help users interact with Facebook Ads. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Facebook Ads"
)
print(result.final_output)
asyncio.run(main())
* 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 Facebook Ads MCP Server
Connect your Facebook Ads (Meta Marketing) account to any AI agent and take full control of your advertising campaigns through natural conversation.
The OpenAI Agents SDK auto-discovers all 12 tools from Facebook Ads through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Facebook Ads, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Campaign Management — List all campaigns, fetch detailed settings, and update statuses (ACTIVE/PAUSED) directly from the cloud
- Ad Set & Ad Inspection — Drill down into specific ad sets and ads to review targeting, budgets, and creative details
- Performance Insights — Extract granular metrics like impressions, clicks, spend, reach, and CPC to analyze your ROI
- Account Overview — Retrieve ad account metadata including balance, currency, and overall account status
- Identity Context — Verify the authorized user and access level for the connected marketing token
The Facebook Ads MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Facebook Ads to OpenAI Agents SDK via MCP
Follow these steps to integrate the Facebook Ads MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Facebook Ads
Why Use OpenAI Agents SDK with the Facebook Ads MCP Server
OpenAI Agents SDK provides unique advantages when paired with Facebook Ads through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Facebook Ads + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Facebook Ads MCP Server delivers measurable value.
Automated workflows: build agents that query Facebook Ads, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Facebook Ads, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Facebook Ads tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Facebook Ads to resolve tickets, look up records, and update statuses without human intervention
Facebook Ads MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Facebook Ads to OpenAI Agents SDK via MCP:
get_ad_account_info
Get basic info for the Facebook Ad Account
get_ad_details
Get details for a specific ad
get_ad_set_details
Get details for a specific ad set
get_campaign_details
Get details for a specific campaign
get_insights
Get performance insights for the Ad Account
get_me
Get current token identity info
list_ad_sets
List ad sets in the Ad Account
list_ads
List ads in the Ad Account
list_campaigns
List campaigns in the Ad Account
update_ad_set_status
Update the status of an ad set
update_ad_status
Update the status of an ad
update_campaign_status
Update the status of a campaign
Example Prompts for Facebook Ads in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Facebook Ads immediately.
"List all active campaigns in my ad account."
"Show me the performance insights for the last week."
"Pause campaign 123456789."
Troubleshooting Facebook Ads MCP Server with OpenAI Agents SDK
Common issues when connecting Facebook Ads to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Facebook Ads + OpenAI Agents SDK FAQ
Common questions about integrating Facebook Ads MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Facebook Ads with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Facebook Ads to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
