How do I get my Meta Ads API credentials?

1. Go to **developers.facebook.com** and log in. 2. Click **My Apps** → **Create App**. 3. Select **Business** as the app type. 4. Fill in the app name and connect it to your Business Manager. 5. Add the **Marketing API** product to your app. 6. Go to **Settings → Basic** and copy your **App ID** and **App Secret**. 7. Generate a **System User Access Token** in Business Manager (Business Settings → System Users → Generate Token). 8. Paste all values below. 💡 For production use, submit your app

Can I manage both Facebook and Instagram ads?

Yes. Meta Ads Manager unifies Facebook and Instagram advertising. Your AI agent manages campaigns across both platforms through the same API — including placements in Feed, Stories, Reels, and Messenger.

Can I create lookalike audiences?

Yes. Your AI agent can create lookalike audiences from customer lists, website visitors, or app users — with configurable similarity percentages (1% being most similar, 10% broadest reach).

What conversion metrics can I track?

Track purchases, add-to-cart, initiate checkout, lead submissions, app installs, registrations, page views, and custom conversion events — with attribution windows of 1-day click, 7-day click, and 1-day view.

Meta Ads MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Meta Ads
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Meta 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 Meta Ads. "
            "You have 10 tools available."
        ),
    )

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

asyncio.run(main())

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About Meta Ads MCP Server

Connect Meta Ads to your AI agent and manage Facebook and Instagram advertising conversationally.

LlamaIndex agents combine Meta Ads tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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, create, update, and pause campaigns, ad sets, and ads across Facebook and Instagram.
Performance Analytics — Pull impressions, reach, clicks, CTR, CPC, CPM, conversions, ROAS, and frequency metrics.
Audience Management — Create custom audiences, lookalikes, and saved audiences with demographic and interest targeting.
Creative Insights — Compare ad creative performance, view thumbnail engagement, and identify winning variants.

The Meta Ads MCP Server exposes 10 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 Meta Ads to LlamaIndex via MCP

Follow these steps to integrate the Meta 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 10 tools from Meta Ads

Why Use LlamaIndex with the Meta Ads MCP Server

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

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

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

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

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

Meta Ads + LlamaIndex Use Cases

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

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

Data enrichment: query Meta 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 Meta Ads for fresh data

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

Meta Ads MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Meta Ads to LlamaIndex via MCP:

activate_campaign

Activate a paused campaign

get_account_info

Get ad account details

get_account_insights

Get account-level performance

get_campaign_insights

Get campaign performance metrics

list_ad_sets

List ad sets in a campaign

list_ads

List ads in an ad set

list_audiences

List custom audiences

list_campaigns

List all Meta ad campaigns

list_creatives

List ad creatives

pause_campaign

Can be reactivated later. Pause a campaign

Example Prompts for Meta Ads in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Meta Ads immediately.

"What's my Meta ad spend and ROAS this month?"

"Which ad creatives are performing best?"

"Create a lookalike audience from my top 1000 customers."

Troubleshooting Meta Ads MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Meta Ads + LlamaIndex FAQ

Common questions about integrating Meta 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 Meta Ads tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.