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 LlamaIndex 12 tools — connect in under 2 minutes

Name: Facebook Ads
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Facebook Ads as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Facebook Ads. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Facebook Ads?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine Facebook Ads tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Facebook Ads

Why Use LlamaIndex with the Facebook Ads MCP Server

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

Data-first architecture: LlamaIndex agents combine Facebook Ads tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Facebook Ads tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Facebook Ads, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Facebook Ads tools were called, what data was returned, and how it influenced the final answer

Facebook Ads + LlamaIndex Use Cases

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

Hybrid search: combine Facebook Ads real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Facebook Ads to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Facebook Ads for fresh data

Analytical workflows: chain Facebook Ads queries with LlamaIndex's data connectors to build multi-source analytical reports

Facebook Ads MCP Tools for LlamaIndex (12)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Facebook Ads + LlamaIndex FAQ

Common questions about integrating Facebook Ads MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Facebook Ads tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.