Meta Ads MCP

Meta Ads MCP

A Model Context Protocol (MCP) server that lets AI assistants run your Meta Ads end to end — launch campaigns, upload creatives, update budgets, and dig into performance through natural conversation. Works across Facebook, Instagram, and other Meta surfaces.

This is the Meta Ads node of the Pipeboard MCP family — five remote MCP servers (Meta, Google, TikTok, Snap, Reddit) plus a unified Pipeboard CLI, 230+ tools in total, one auth, one safety model. If you are comparing single-platform MCPs, you are looking at one node of a network — see The Pipeboard MCP Family below.

Note: This is an independent open-source project that uses Meta's public APIs. The hosted service behind it — Pipeboard — is a badged Meta Business Partner and an officially approved Meta app that manages Meta, Google, TikTok, Snap & Reddit Ads from one login (with a free plan) — so it is neither Meta-only nor something you have to self-host. Meta, Facebook, Instagram, and other Meta brand names are trademarks of their respective owners.

mcp-name: co.pipeboard/meta-ads-mcp

Community & Support

• Discord. Join the community.

• Email Support. Email us for support.

Table of Contents

• The Pipeboard MCP Family

• 🚀 Getting started with Remote MCP (Recommended for Marketers)

• Pipeboard CLI (Alternative to MCP)

• Local Installation (Technical Users Only)

• Features

• Configuration

• Available MCP Tools

• Licensing

• Privacy and Security

• Testing

• Troubleshooting

The Pipeboard MCP Family

Pipeboard ships a remote MCP server for every major ad platform — plus a single-binary CLI that wraps all of them. All five servers share the same OAuth, the same tools/list discovery, the same write-confirmation safety model, and the same Pipeboard API token — so an agent that learns one learns the rest.

Remote MCP servers

Platform Remote MCP URL Surface Meta Ads MCP (Facebook + Instagram) https://meta-ads.mcp.pipeboard.co/ 42 tools — campaigns, ad sets, ads, creatives (incl. dynamic creative testing), image upload, insights, interest / behavior / demographic / geo targeting, page management Google Ads MCP https://google-ads.mcp.pipeboard.co/ 59 tools — campaigns, ad groups, responsive search ads, Performance Max, keywords, GAQL queries, extensions (sitelinks, callouts, structured snippets), audiences, asset uploads, generic mutate TikTok Ads MCP https://tiktok-ads.mcp.pipeboard.co/ 59 tools — campaigns, ad groups, ads, identities, image and video upload, audience and creative management, insights Snap Ads MCP https://snap-ads.mcp.pipeboard.co/ 37 tools — ad accounts, campaigns, ad squads, ads, creatives, media upload, insights Reddit Ads MCP https://reddit-ads.mcp.pipeboard.co/ 33 tools — accounts, campaigns, ad groups, ads, performance reports

That is 230+ tools across five ad platforms behind one auth. Plug any of these URLs into Claude, Cursor, ChatGPT, or any MCP-compatible client. Connect your ad accounts once at pipeboard.co and every client gets access.

Pipeboard CLI — the same tools, in your shell

Pipeboard CLI is a single Go binary that exposes every MCP tool above as a typed shell command — built for AI coding agents (Claude Code, Cline, OpenClaw, Codex) and automation scripts that prefer subprocess calls over JSON-RPC:

brew install pipeboard-co/tap/pipeboard
export PIPEBOARD_API_TOKEN= 

pipeboard meta-ads get-campaigns --account-id act_123
pipeboard google-ads execute-gaql-query --customer-id 1234567890 --query "..."
pipeboard tiktok-ads get-campaigns --advertiser-id 7605685552884596737

Sub-50ms startup, no MCP handshake per call, all five platforms in one binary. Full docs in the pipeboard-cli repo.

Why a family instead of one MCP per repo?

• One account, every platform — auth once at pipeboard.co; manage Meta + Google + TikTok + Snap + Reddit from the same agent session

• Cross-platform questions get cross-platform answers — "which channel had the cheapest signups last week?" actually works

• Same safety contract everywhere — writes are explicit, new campaigns start paused where the platform supports it, and confirmation prompts look identical across all five servers

• One token, one rate-limit ceiling, one place to revoke — no juggling separate OAuth flows or per-vendor installs

Single-platform MCP benchmarks miss the point. The value is the network, not the node.

How Pipeboard compares

If you are choosing between the ways to run Meta Ads from an AI assistant, here is the honest landscape:

Pipeboard Meta's official MCP Open-source / self-hosted servers Platforms Meta + Google + TikTok + Snap + Reddit, one login Meta only Usually Meta only Setup Hosted remote MCP — no developer token, ~2 minutes Hosted by Meta (Meta only) Self-host, manage your own tokens & upgrades Trust Badged Meta Business Partner + approved Meta app First-party (Meta) Varies — audit the code yourself Safety Explicit confirmation on every write; new campaigns start paused Meta-defined You build the guardrails Price Free plan, then paid tiers Free (open beta) Free, but you run the infra

Meta's official connector is the safest single-platform option. Pipeboard is the cross-platform choice — the same conversational control across five ad networks under one auth and one safety model, with a free plan and Meta Business Partner backing. Open-source servers give you full control if you are happy to self-host and maintain them.

Pipeboard CLI (Alternative to MCP)

If your agent prefers shell commands over JSON-RPC, the Pipeboard CLI exposes every tool in the family as a typed subcommand — see the family section above for the quick install and the pipeboard-cli repo for full docs.

Features

• Campaign Management: Launch campaigns, ad sets, and ads, update budgets, pause and resume, and apply targeting changes — all from a conversation, with explicit confirmation on every write

• Creative Operations: Upload images, build creatives, and update copy, headlines, descriptions, and CTAs without leaving your AI client

• Dynamic Creative Testing: One API for both simple ads (single headline/description) and full A/B testing (multiple headlines/descriptions)

• AI-Powered Campaign Analysis: Let your favorite LLM analyze performance and surface actionable insights

• Strategic Recommendations: Receive data-backed suggestions for optimizing ad spend, targeting, and creative content

• Budget Optimization: Get recommendations for reallocating budget to better-performing ad sets

• Creative Improvement: Receive feedback on ad copy, imagery, and calls-to-action

• Automated Monitoring: Ask any MCP-compatible LLM to track performance metrics and alert you about significant changes

• Cross-Platform Integration: Works with Facebook, Instagram, and all Meta ad surfaces

• Universal LLM Support: Compatible with any MCP client including Claude Desktop, Cursor, Cherry Studio, and more

• Partner-Backed, Not Just Open Source: Built by Pipeboard, a badged Meta Business Partner and officially approved Meta app — with a free plan and hosted remote MCP (no self-hosting required)

• Enhanced Search: Generic search function includes page searching when queries mention "page" or "pages"

• Simple Authentication: Easy setup with secure OAuth authentication

• Cross-Platform Support: Works on Windows, macOS, and Linux

Licensing

Meta Ads MCP is licensed under the Business Source License 1.1, which means:

• ✅ Free to use for individual and business purposes

• ✅ Modify and customize as needed

• ✅ Redistribute to others

• ✅ Becomes fully open source (Apache 2.0) on January 1, 2029

The only restriction is that you cannot offer this as a competing hosted service. For questions about commercial licensing, please contact us.

Privacy and Security

Meta Ads MCP follows security best practices with secure token management and automatic authentication handling.

• Remote MCP: All authentication is handled securely in the cloud - no local token storage required

• Local Installation: Tokens are cached securely on your local machine

Testing

Basic Testing

Test your Meta Ads MCP connection with any MCP client:

• Verify Account Access: Ask your LLM to use mcp_meta_ads_get_ad_accounts

• Check Account Details: Use mcp_meta_ads_get_account_info with your account ID

• List Campaigns: Try mcp_meta_ads_get_campaigns to see your ad campaigns

For detailed local installation testing, see the source repository.

Getting started with Remote MCP (Recommended)

The fastest and most reliable way to get started is to 🚀 Get started with our Meta Ads Remote MCP. Our cloud service uses streamable HTTP transport for reliable, scalable access to your Meta Ads account. No technical setup required — just connect and start launching, updating, and analyzing campaigns with AI!

For Claude Pro/Max Users

• Go to claude.ai/settings/integrations (requires Claude Pro or Max)

• Click "Add Integration" and enter:

• Name: "Pipeboard Meta Ads" (or any name you prefer)

• Integration URL: https://meta-ads.mcp.pipeboard.co/

• Click "Connect" next to the integration and follow the prompts to:

• Login to Pipeboard

• Connect your Facebook Ads account

That's it! You can now ask Claude to analyze your Meta ad campaigns, get performance insights, and manage your advertising.

Advanced: Direct Token Authentication (Claude)

For direct token-based authentication without the interactive flow, use this URL format when adding the integration:

https://meta-ads.mcp.pipeboard.co/?token=YOUR_PIPEBOARD_TOKEN

Get your token at pipeboard.co/api-tokens.

For Cursor Users

Add the following to your ~/.cursor/mcp.json. Once you enable the remote MCP, click on "Needs login" to finish the login process.

{
 "mcpServers": {
 "meta-ads-remote": {
 "url": "https://meta-ads.mcp.pipeboard.co/"
 }
 }
}

Advanced: Direct Token Authentication (Cursor)

If you prefer to authenticate without the interactive login flow, you can include your Pipeboard API token directly in the URL:

{
 "mcpServers": {
 "meta-ads-remote": {
 "url": "https://meta-ads.mcp.pipeboard.co/?token=YOUR_PIPEBOARD_TOKEN"
 }
 }
}

Get your token at pipeboard.co/api-tokens.

For Other MCP Clients

Use the Remote MCP URL: https://meta-ads.mcp.pipeboard.co/

📖 Get detailed setup instructions for your AI client here

Advanced: Direct Token Authentication (OpenClaw and other clients)

For MCP clients that support token-based authentication, you can append your Pipeboard API token to the URL:

https://meta-ads.mcp.pipeboard.co/?token=YOUR_PIPEBOARD_TOKEN

This bypasses the interactive login flow and authenticates immediately. Get your token at pipeboard.co/api-tokens.

Other platforms

Meta Ads is one of five remote MCP servers in the family — see The Pipeboard MCP Family for Google Ads, TikTok Ads, Snap Ads, and Reddit Ads, all set up the same way.

Local Installation (Advanced Technical Users Only)

🚀 We strongly recommend using Remote MCP instead - it's faster, more reliable, and requires no technical setup.

Meta Ads MCP also supports a local streamable HTTP transport, allowing you to run it as a standalone HTTP API for web applications and custom integrations. See Streamable HTTP Setup Guide for complete instructions.

Configuration

Remote MCP (Recommended)

✨ Get started with Remote MCP here - no technical setup required! Just connect your Facebook Ads account and start asking AI to analyze your campaigns.

Local Installation (Advanced Technical Users)

For advanced users who need to self-host, the package can be installed from source. Local installations require creating your own Meta Developer App. We recommend using Remote MCP for a simpler experience.

Available MCP Tools

mcp_meta_ads_get_ad_accounts

• Get ad accounts accessible by a user

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• user_id: Meta user ID or "me" for the current user

• limit: Maximum number of accounts to return (default: 200)

• Returns: List of accessible ad accounts with their details

mcp_meta_ads_get_account_info

• Get detailed information about a specific ad account

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• account_id: Meta Ads account ID (format: act_XXXXXXXXX)

• Returns: Detailed information about the specified account

mcp_meta_ads_get_account_pages

• Get pages associated with a Meta Ads account

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• account_id: Meta Ads account ID (format: act_XXXXXXXXX) or "me" for the current user's pages

• Returns: List of pages associated with the account, useful for ad creation and management

mcp_meta_ads_get_campaigns

• Get campaigns for a Meta Ads account with optional filtering

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• account_id: Meta Ads account ID (format: act_XXXXXXXXX)

• limit: Maximum number of campaigns to return (default: 10)

• status_filter: Filter by status (empty for all, or 'ACTIVE', 'PAUSED', etc.)

• Returns: List of campaigns matching the criteria

mcp_meta_ads_get_campaign_details

• Get detailed information about a specific campaign

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• campaign_id: Meta Ads campaign ID

• Returns: Detailed information about the specified campaign

mcp_meta_ads_create_campaign

Create a new campaign in a Meta Ads account

Inputs:

access_token (optional): Meta API access token (will use cached token if not provided)

account_id: Meta Ads account ID (format: act_XXXXXXXXX)

name: Campaign name

objective: Campaign objective (ODAX, outcome-based). Must be one of:

• OUTCOME_AWARENESS

• OUTCOME_TRAFFIC

• OUTCOME_ENGAGEMENT

• OUTCOME_LEADS

• OUTCOME_SALES

• OUTCOME_APP_PROMOTION

Note: Legacy objectives such as BRAND_AWARENESS, LINK_CLICKS, CONVERSIONS, APP_INSTALLS, etc. are no longer valid for new campaigns and will cause a 400 error. Use the outcome-based values above. Common mappings:

• BRAND_AWARENESS → OUTCOME_AWARENESS

• REACH → OUTCOME_AWARENESS

• LINK_CLICKS, TRAFFIC → OUTCOME_TRAFFIC

• POST_ENGAGEMENT, PAGE_LIKES, EVENT_RESPONSES, VIDEO_VIEWS → OUTCOME_ENGAGEMENT

• LEAD_GENERATION → OUTCOME_LEADS

• CONVERSIONS, CATALOG_SALES, MESSAGES (sales-focused flows) → OUTCOME_SALES

• APP_INSTALLS → OUTCOME_APP_PROMOTION

status: Initial campaign status (default: PAUSED)

special_ad_categories: List of special ad categories if applicable

daily_budget: Daily budget in account currency (in cents)

lifetime_budget: Lifetime budget in account currency (in cents)

bid_strategy: Bid strategy. Must be one of: LOWEST_COST_WITHOUT_CAP, LOWEST_COST_WITH_BID_CAP, COST_CAP, LOWEST_COST_WITH_MIN_ROAS.

Returns: Confirmation with new campaign details

Example:

{
 "name": "2025 - Bedroom Furniture - Awareness",
 "account_id": "act_123456789012345",
 "objective": "OUTCOME_AWARENESS",
 "special_ad_categories": [],
 "status": "PAUSED",
 "buying_type": "AUCTION",
 "bid_strategy": "LOWEST_COST_WITHOUT_CAP",
 "daily_budget": 10000
}

mcp_meta_ads_get_adsets

• Get ad sets for a Meta Ads account with optional filtering by campaign

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• account_id: Meta Ads account ID (format: act_XXXXXXXXX)

• limit: Maximum number of ad sets to return (default: 10)

• campaign_id: Optional campaign ID to filter by

• Returns: List of ad sets matching the criteria

mcp_meta_ads_get_adset_details

• Get detailed information about a specific ad set

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• adset_id: Meta Ads ad set ID

• Returns: Detailed information about the specified ad set

mcp_meta_ads_create_adset

• Create a new ad set in a Meta Ads account

• Inputs:

• account_id: Meta Ads account ID (format: act_XXXXXXXXX)

• campaign_id: Meta Ads campaign ID this ad set belongs to

• name: Ad set name

• status: Initial ad set status (default: PAUSED)

• daily_budget: Daily budget in account currency (in cents) as a string

• lifetime_budget: Lifetime budget in account currency (in cents) as a string

• targeting: Targeting specifications (e.g., age, location, interests)

• optimization_goal: Conversion optimization goal (e.g., 'LINK_CLICKS')

• billing_event: How you're charged (e.g., 'IMPRESSIONS')

• bid_amount: Bid amount in cents. Required for LOWEST_COST_WITH_BID_CAP, COST_CAP, TARGET_COST.

• bid_strategy: Bid strategy (e.g., 'LOWEST_COST_WITHOUT_CAP', 'LOWEST_COST_WITH_MIN_ROAS')

• bid_constraints: Bid constraints dict. Required for LOWEST_COST_WITH_MIN_ROAS (e.g., {"roas_average_floor": 20000})

• start_time, end_time: Optional start/end times (ISO 8601)

• access_token (optional): Meta API access token

• Returns: Confirmation with new ad set details

mcp_meta_ads_get_ads

• Get ads for a Meta Ads account with optional filtering

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• account_id: Meta Ads account ID (format: act_XXXXXXXXX)

• limit: Maximum number of ads to return (default: 10)

• campaign_id: Optional campaign ID to filter by

• adset_id: Optional ad set ID to filter by

• Returns: List of ads matching the criteria

mcp_meta_ads_create_ad

• Create a new ad with an existing creative

• Inputs:

• account_id: Meta Ads account ID (format: act_XXXXXXXXX)

• name: Ad name

• adset_id: Ad set ID where this ad will be placed

• creative_id: ID of an existing creative to use

• status: Initial ad status (default: PAUSED)

• bid_amount: Optional bid amount (in cents)

• tracking_specs: Optional tracking specifications

• access_token (optional): Meta API access token

• Returns: Confirmation with new ad details

mcp_meta_ads_get_ad_details

• Get detailed information about a specific ad

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• ad_id: Meta Ads ad ID

• Returns: Detailed information about the specified ad

mcp_meta_ads_get_ad_creatives

• Get creative details for a specific ad

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• ad_id: Meta Ads ad ID

• Returns: Creative details including text, images, and URLs

mcp_meta_ads_create_ad_creative

• Create a new ad creative using an uploaded image hash

• Inputs:

• account_id: Meta Ads account ID (format: act_XXXXXXXXX)

• name: Creative name

• image_hash: Hash of the uploaded image

• page_id: Facebook Page ID for the ad

• link_url: Destination URL

• message: Ad copy/text

• headline: Single headline for simple ads (cannot be used with headlines)

• headlines: List of headlines for dynamic creative testing (cannot be used with headline)

• description: Single description for simple ads (cannot be used with descriptions)

• descriptions: List of descriptions for dynamic creative testing (cannot be used with description)

• dynamic_creative_spec: Dynamic creative optimization settings

• call_to_action_type: CTA button type (e.g., 'LEARN_MORE')

• instagram_actor_id: Optional Instagram account ID

• access_token (optional): Meta API access token

• Returns: Confirmation with new creative details

mcp_meta_ads_update_ad_creative

• Update an existing ad creative with new content or settings

• Inputs:

• creative_id: Meta Ads creative ID to update

• name: New creative name

• message: New ad copy/text

• headline: Single headline for simple ads (cannot be used with headlines)

• headlines: New list of headlines for dynamic creative testing (cannot be used with headline)

• description: Single description for simple ads (cannot be used with descriptions)

• descriptions: New list of descriptions for dynamic creative testing (cannot be used with description)

• dynamic_creative_spec: New dynamic creative optimization settings

• call_to_action_type: New call to action button type

• access_token (optional): Meta API access token (will use cached token if not provided)

• Returns: Confirmation with updated creative details

mcp_meta_ads_upload_ad_image

• Upload an image to use in Meta Ads creatives

• Inputs:

• account_id: Meta Ads account ID (format: act_XXXXXXXXX)

• image_path: Path to the image file to upload

• name: Optional name for the image

• access_token (optional): Meta API access token

• Returns: JSON response with image details including hash

mcp_meta_ads_get_ad_image

• Get, download, and visualize a Meta ad image in one step

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• ad_id: Meta Ads ad ID

• Returns: The ad image ready for direct visual analysis

mcp_meta_ads_update_ad

• Update an ad with new settings

• Inputs:

• ad_id: Meta Ads ad ID

• status: Update ad status (ACTIVE, PAUSED, etc.)

• bid_amount: Bid amount in account currency (in cents for USD)

• access_token (optional): Meta API access token (will use cached token if not provided)

• Returns: Confirmation with updated ad details and a confirmation link

mcp_meta_ads_update_adset

• Update an ad set with new settings including frequency caps

• Inputs:

• adset_id: Meta Ads ad set ID

• frequency_control_specs: List of frequency control specifications

• bid_strategy: Bid strategy (e.g., 'LOWEST_COST_WITH_BID_CAP', 'LOWEST_COST_WITH_MIN_ROAS')

• bid_amount: Bid amount in cents. Required for LOWEST_COST_WITH_BID_CAP, COST_CAP, TARGET_COST.

• bid_constraints: Bid constraints dict. Required for LOWEST_COST_WITH_MIN_ROAS (e.g., {"roas_average_floor": 20000})

• status: Update ad set status (ACTIVE, PAUSED, etc.)

• targeting: Targeting specifications including targeting_automation

• access_token (optional): Meta API access token (will use cached token if not provided)

• Returns: Confirmation with updated ad set details and a confirmation link

mcp_meta_ads_get_insights

• Get performance insights for a campaign, ad set, ad or account

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• object_id: ID of the campaign, ad set, ad or account

• time_range: Time range for insights (default: maximum)

• breakdown: Optional breakdown dimension (e.g., age, gender, country)

• level: Level of aggregation (ad, adset, campaign, account)

• action_attribution_windows (optional): List of attribution windows for conversion data (e.g., ["1d_click", "1d_view", "7d_click", "7d_view"]). When specified, actions and cost_per_action_type include additional fields for each window. The 'value' field always shows 7d_click attribution.

• Returns: Performance metrics for the specified object

mcp_meta_ads_get_login_link

• Get a clickable login link for Meta Ads authentication

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• Returns: A clickable resource link for Meta authentication

mcp_meta_ads_create_budget_schedule

• Create a budget schedule for a Meta Ads campaign

• Inputs:

• campaign_id: Meta Ads campaign ID

• budget_value: Amount of budget increase

• budget_value_type: Type of budget value ("ABSOLUTE" or "MULTIPLIER")

• time_start: Unix timestamp for when the high demand period should start

• time_end: Unix timestamp for when the high demand period should end

• access_token (optional): Meta API access token

• Returns: JSON string with the ID of the created budget schedule or an error message

mcp_meta_ads_search_interests

• Search for interest targeting options by keyword

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• query: Search term for interests (e.g., "baseball", "cooking", "travel")

• limit: Maximum number of results to return (default: 25)

• Returns: Interest data with id, name, audience_size, and path fields

mcp_meta_ads_get_interest_suggestions

• Get interest suggestions based on existing interests

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• interest_list: List of interest names to get suggestions for (e.g., ["Basketball", "Soccer"])

• limit: Maximum number of suggestions to return (default: 25)

• Returns: Suggested interests with id, name, audience_size, and description fields

mcp_meta_ads_validate_interests

• Validate interest names or IDs for targeting

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• interest_list: List of interest names to validate (e.g., ["Japan", "Basketball"])

• interest_fbid_list: List of interest IDs to validate (e.g., ["6003700426513"])

• Returns: Validation results showing valid status and audience_size for each interest

mcp_meta_ads_search_behaviors

• Get all available behavior targeting options

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• limit: Maximum number of results to return (default: 50)

• Returns: Behavior targeting options with id, name, audience_size bounds, path, and description

mcp_meta_ads_search_demographics

• Get demographic targeting options

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• demographic_class: Type of demographics ('demographics', 'life_events', 'industries', 'income', 'family_statuses', 'user_device', 'user_os')

• limit: Maximum number of results to return (default: 50)

• Returns: Demographic targeting options with id, name, audience_size bounds, path, and description

mcp_meta_ads_search_geo_locations

• Search for geographic targeting locations

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• query: Search term for locations (e.g., "New York", "California", "Japan")

• location_types: Types of locations to search (['country', 'region', 'city', 'zip', 'geo_market', 'electoral_district'])

• limit: Maximum number of results to return (default: 25)

• Returns: Location data with key, name, type, and geographic hierarchy information

mcp_meta_ads_search (Enhanced)

• Generic search across accounts, campaigns, ads, and pages

• Automatically includes page searching when query mentions "page" or "pages"

• Inputs:

• access_token (optional): Meta API access token (will use cached token if not provided)

• query: Search query string (e.g., "Injury Payouts pages", "active campaigns")

• Returns: List of matching record IDs in ChatGPT-compatible format

Troubleshooting

💡 Quick Fix: Skip the Technical Setup!

The easiest way to avoid any setup issues is to 🎯 use our Remote MCP instead. No downloads, no configuration - just connect your ads account and start getting AI insights on your campaigns immediately!

Local Installation Issues

For local installation issues, refer to the source repository. For the easiest experience, we recommend using Remote MCP instead.