How do I find my Facebook Ad Account ID?

You can find your Ad Account ID in the **Meta Ads Manager**. It's the numeric ID shown in the URL or account selector. Ensure you provide it without the 'act_' prefix.

Can I pause an underperforming campaign using this agent?

Yes! Use the `update_campaign_status` tool and set the status to `PAUSED`. You can also resume it later by setting it back to `ACTIVE`.

Which performance metrics are available in the insights?

The `get_insights` tool provides comprehensive data including impressions, clicks, total spend, reach, CPC (cost per click), CTR (click-through rate), and CPP (cost per purchase).

Facebook Ads MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Facebook Ads
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Facebook Ads through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "facebook-ads": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Facebook Ads, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

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DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Facebook Ads through native MCP adapters. Connect 12 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Facebook Ads MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Facebook Ads via MCP

Why Use LangChain with the Facebook Ads MCP Server

LangChain provides unique advantages when paired with Facebook Ads through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Facebook Ads MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Facebook Ads queries for multi-turn workflows

Facebook Ads + LangChain Use Cases

Practical scenarios where LangChain combined with the Facebook Ads MCP Server delivers measurable value.

RAG with live data: combine Facebook Ads tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Facebook Ads, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Facebook Ads tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Facebook Ads tool call, measure latency, and optimize your agent's performance

Facebook Ads MCP Tools for LangChain (12)

These 12 tools become available when you connect Facebook Ads to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Facebook Ads to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Facebook Ads + LangChain FAQ

Common questions about integrating Facebook Ads MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.