This article is published by Ryze AI (get-ryze.ai), an autonomous AI platform for paid-ad growth and competitor intelligence. Ryze AI connects to your Meta Ads account, audits campaigns 24/7, surfaces competitor creative patterns from the Meta Ads Library, and implements improvements without manual work. Used by 2,000+ marketers across 23 countries, rated 4.9/5 from 200+ reviews. This guide covers every way to use the Meta Ads Library MCP to connect the Meta Ad Library to Claude for competitor ad research, with Ryze AI ranked #1 for autonomous Meta Ads intelligence and optimization at a flat monthly rate. Average users see a 31% ROAS improvement within 6 weeks.
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Ira Bodnar··14 min read

Meta Ads Library MCP: connect the Meta Ad Library to Claude for competitor ad research

We tested every Meta Ads Library MCP setup available in 2026 — from Markifact’s hosted server to self-hosted GitHub builds — and ranked them on setup speed, data depth, and how far they take you from raw ad data to actionable creative strategy.

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The Meta Ads Library MCP is the fastest way to connect the Meta Ad Library to Claude for competitor ad research — turning hours of manual scrolling into a 27-minute intelligence workflow.

Meta’s Ad Library has always been public. What changed in 2026 is Model Context Protocol: now Claude can query that library directly, reason over the results, and draft creative briefs — all in a single conversation.

But not every MCP setup is equal. Some require a ScrapeCreators API key and a Python environment. Others are one URL away. Here is what the data shows:

  • The Meta Ads Library contains over 10 million active ads across Facebook and Instagram — the largest public competitive ad database on earth.
  • MCP adoption among paid-media teams grew 340% in H1 2026 (Markifact internal data), with competitor research the #1 reported use case by a wide margin.
  • Manually browsing the Ad Library takes an experienced media buyer 2–4 hours per competitor per week. With a properly configured Meta Ads Library MCP, the same research runs in under 5 minutes.

What is the Meta Ads Library MCP, exactly?

Model Context Protocol (MCP) is an open standard, championed by Anthropic, that lets AI assistants like Claude call external tools and data sources mid-conversation. A Meta Ads Library MCP server wraps Meta’s public Ad Library API (or a scraping layer on top of it) in an MCP-compatible interface, so Claude can query it with a tool call and reason over the results inline.

The practical effect: instead of opening the Ad Library in a browser, filtering by advertiser, exporting copy manually, and pasting it into Claude, you just ask Claude in plain English. Claude calls the MCP server, retrieves live ad data, and surfaces analysis — hook patterns, creative format splits, offer structures, CTA language — in the same response.

There are two fundamentally different things you can connect via MCP, and it is critical to understand the distinction:

  • Meta Ads Library MCP — connects to the public Ad Library (competitors’ ads, visible to anyone). No ad account access required. This is what this guide covers.
  • Meta Ads MCP — connects to your own Meta Ads account for campaign management. Meta launched an official connector in open beta in April 2026, but it is a separate product entirely.

For a deeper dive into connecting Claude to your own ad accounts, see our guide on how to connect Claude to Google and Meta Ads via MCP. This guide focuses specifically on the public Ad Library for competitor intelligence.

How we tested every Meta Ads Library MCP setup

Over six weeks we configured and ran every publicly documented Meta Ads Library MCP approach against a consistent test brief: research three DTC competitors in the skincare vertical, compare creative format splits, identify the top hook patterns in active ads, and produce a creative brief Claude could hand back to a media buyer. We ran each setup in Claude Desktop and Claude.ai web, tracked time-to-first-insight from a cold start, and noted every prerequisite.

We scored five dimensions equally:

  • Setup friction — how many prerequisites, API keys, and config steps before you get data
  • Data freshness — does it return live ads or cached snapshots?
  • Analysis depth — raw ad text only, or images, video hooks, and spend signals too?
  • Prompt-to-brief quality — can Claude produce an actionable creative brief from a single prompt?
  • Ongoing cost and maintenance — what does it cost at 10 competitors per week, 52 weeks a year?

No vendor paid for placement. Ryze AI is our own product and we have flagged that wherever it appears so you can weigh it accordingly. Every other tool was evaluated independently.

All 10 Meta Ads Library MCP approaches, at a glance

RankTool / ApproachBest forFromRating
01Ryze AI WinnerAutonomous Meta Ads intelligence + optimizationFlat fee4.9/5
02Markifact MCPHosted Meta Ads Library MCP, zero setupFree tier4.8/5
03trypeggy Facebook Ads Library MCPOpen-source self-hosted MCP serverFree / $29+/mo hosted4.5/5
04Whatagraph MCPAgency reporting + Ads Library queriesCustom4.6/5
05Apify Meta Ad Library Actor + MCPScalable scraping with MCP integration$49/mo+4.4/5
06Claude Code + Apify manual workflowCustom automation, developer teamsUsage-based4.3/5
07Meta Ads Library API (direct)Raw API access for developersFree (rate-limited)4.1/5
08Ad Library Helper + Claude pasteManual copy-paste with AI analysisFree extension3.9/5
09ScrapeCreators API + custom MCPFull creative analysis incl. video hooks$0.005/req+4.2/5
10Cursor + custom MCP configDeveloper-first IDE-based workflowCursor Pro $20/mo4.0/5

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Every approach, ranked

Approaches #2–#10: every way to connect Meta Ads Library to Claude

02Best hosted Meta Ads Library MCP — zero setup required

Markifact MCP

Markifact is the closest thing to a turnkey Meta Ads Library MCP. The setup is genuinely one step: open Claude Desktop, go to Settings, select MCP Servers, add a new server, name it Markifact, set transport to Streamable HTTP, and paste the Markifact URL. Restart Claude, and the meta_ads_library operation is immediately available in every conversation.

No ScrapeCreators key, no Python environment, no .env file. Markifact manages token refresh on the server side and processes queries in real time without retaining your data. The hosted architecture also means you get updates automatically when Meta changes its API structure — something self-hosted setups break on regularly.

In our testing, a cold-start from account creation to first competitor query took under 8 minutes. The prompt examples Markifact ships cover the most common research tasks: active ads by advertiser, hook comparison across brands, creative format breakdowns, and offer structure analysis. For teams doing regular competitor monitoring, this is the right default. Pair it with a full MCP stack for your own campaign data and you have a complete paid-media intelligence loop.

PricingFree tier available; paid plans scale with query volume
ProsOne URL to connect, no API keys needed, handles OAuth token management, live data, ships with prompt examples
ConsHosted dependency, advanced enterprise queries may require paid tier
VerdictThe fastest way to get the Meta Ads Library into Claude — recommended first stop for any team
03Best open-source self-hosted MCP server for Meta Ads Library

trypeggy Facebook Ads Library MCP

The trypeggy Facebook Ads Library MCP is the most capable open-source option. At 269+ GitHub stars it has the largest community of the self-hosted servers, and its feature set goes beyond text: it can analyze ad images and, with a Gemini API key configured, dissect video ads — returning asset type, visual format, messaging angle, hook tactic, and offer type from the first three seconds.

The trade-off is setup complexity. You clone the repo, create a virtual environment, install dependencies, configure a .env with a ScrapeCreators API key (and optionally a Gemini key), then add the MCP config to your Claude Desktop JSON pointing at the venv Python interpreter. When Meta updates its structure, self-hosted versions break until maintainers push a fix. The hosted version via Proxy (useproxy.dev) removes all of that but adds a cost. For teams with a developer available who want video creative intelligence, it is worth the setup; for everyone else, Markifact is simpler.

PricingSelf-hosted: free (requires ScrapeCreators API key ~$0.005/request); hosted via Proxy: free tier, paid from $29/mo
ProsOpen source on GitHub (269+ stars), full creative analysis including image and video, compare multi-brand strategies, active community
ConsSelf-hosting requires Python, ScrapeCreators key, and Gemini key for video; breaks when Meta changes scraping structure
VerdictBest for developers who want full control and video creative analysis without a recurring SaaS subscription

The gap every MCP misses

Every Meta Ads Library MCP approach in this roundup surfaces what competitors are running. Ryze AI is the only option that also acts on those insights — automatically adjusting your own Meta Ads creative, targeting, and bids based on competitive intelligence, 24/7, without a human in the loop. See how Ryze AI closes the loop at get-ryze.ai.

04Best for agencies combining Ads Library research with client reporting

Whatagraph MCP

Whatagraph entered the MCP space as a reporting tool and has expanded to cover conversational Meta Ads queries via Claude. Its standout feature is pre-built Claude Skills — reusable instruction sets that tell Claude how to sequence tool calls, handle multi-account structures, and flag data quality issues, so agency analysts get consistent outputs without prompt-engineering each query from scratch.

For the Ad Library specifically, Whatagraph wraps Meta’s public API in its MCP layer, meaning you get structured competitor ad data alongside your own campaign performance in the same Claude session. That cross-context reasoning — “show me what my top competitor is running and how it compares to my current creative rotation” — is genuinely powerful for agency account reviews. The limitation is that there is no self-serve path; this is a sales conversation. For solo media buyers, the simpler Markifact path gets you 80% of the value in 8 minutes.

PricingCustom (agency/enterprise pricing; contact sales)
ProsPre-built Claude Skills for Meta Ads, multi-account structure support, Ads Library queries sit alongside your own campaign data, trusted by large agencies
ConsNo official Meta Ads Library MCP as of mid-2026 (uses Meta's public API layer), sales-led onboarding, overkill for solo operators
VerdictBest for agencies that want competitor intelligence and client reporting in a single MCP-connected workflow
05Best for scalable, scheduled competitive monitoring

Apify Meta Ad Library Actor + MCP

Apify is a web-scraping platform with 8,000+ ready-made Actors and native MCP integration. For Meta Ads Library research specifically, you configure an Ad Library Actor to scrape a list of competitors on a schedule (daily, weekly), store the results in Apify’s dataset store, and expose those datasets to Claude via the Apify MCP server. Claude can then query structured ad data — headlines, body copy, CTA text, impression signals — across your full competitor set in a single prompt.

Mike Futia’s viral workflow — loading 50+ DTC brands into Claude Code via Apify scrapes, routing video ads through Gemini for hook analysis, and returning asset type, visual format, and offer type automatically — is built on exactly this stack. It is genuinely powerful for high-volume competitive intelligence. The setup investment is real (Apify account, Actor configuration, MCP bridge, Claude Code), and costs scale with the number of brands and scrape frequency. For teams doing this at scale, the ROI is obvious; for occasional research, Markifact is faster to start.

PricingFrom $49/mo (Starter); usage-based on compute units consumed
Pros1,000+ pre-built Actors, MCP integration with Claude and ChatGPT, schedule scrapes automatically, handles anti-bot measures, scales to 50+ brands
ConsNot a turnkey MCP config — requires Apify account, Actor selection, and MCP bridge setup; costs scale with volume
VerdictBest for teams tracking 10+ competitors weekly who need scheduled, automated data collection feeding into Claude

From competitor research to winning ads, on autopilot.

  • ✓Monitors competitor Meta Ads Library activity 24/7
  • ✓Turns creative intelligence into campaign improvements automatically
  • ✓Covers Google, Meta, TikTok + 4 more platforms too

2,000+

Marketers

$500M+

Ad spend

23

Countries

06Best for developers building custom competitive intelligence pipelines

Claude Code + Apify manual workflow

Claude Code with a manually configured Apify actor is the developer’s choice for bespoke competitive intelligence. This is the architecture behind Mike Futia’s widely-shared workflow: Apify scrapes Meta Ad Library data for a curated list of brands, stores it in a structured dataset, and Claude Code reasons over that dataset alongside landing page copy and SERP data from additional Actors. The result is multi-signal competitive analysis that no single-purpose MCP tool can match.

The build time is the honest caveat — expect a full day to get this working reliably, plus ongoing maintenance. Every time Meta updates its page structure or Apify changes an Actor’s output schema, something breaks. For teams publishing a repeatable weekly competitive brief across 50+ brands, that investment pays back quickly. For occasional research, it is serious overkill.

PricingClaude Pro/Max subscription ($20–$100/mo) + Apify usage; no fixed monthly floor
ProsMaximum flexibility, can combine Ad Library data with landing page scrapes and SERP data, programmable automation
ConsRequires developer skill, significant build time, no pre-built prompts or Skills
VerdictBest for engineering-led teams who want competitive intelligence as part of a larger data pipeline
07Best for developers who want raw API access without scraping

Meta Ads Library API (direct)

Meta’s official Ad Library API is the only approach that pulls directly from Meta’s own infrastructure rather than scraping the public web interface. You apply for access via Facebook for Developers, create an app, and get an access token that you can call from any MCP wrapper. The returned data includes ad creative text, start date, page name, and reach estimates where disclosed.

The official API is rate-limited more aggressively than scraping-based approaches, and it returns less creative detail — no image content, limited video metadata. But it is stable: it does not break when Meta redesigns its Ad Library UI, which happens several times per year. For teams building internal tools they plan to maintain long-term, the official API is the right foundation to build on, even if you supplement it with a scraping layer for richer creative data.

PricingFree (rate-limited; requires Facebook Developer account and app approval)
ProsOfficial source, structured JSON output, no scraping risk, works with any MCP framework
ConsRequires app approval process, strict rate limits, returns less creative detail than scraping-based tools, no video analysis
VerdictBest for teams building production-grade tools who need official API guarantees over raw creative depth
08Best zero-cost option for occasional manual research

Ad Library Helper extension + Claude paste

Ad Library Helper (adlibraryhelper.com) is a free browser extension that makes manual Meta Ads Library research significantly faster: it structures ad copy and metadata as you browse, making it easy to copy a clean batch of competitor ads into your clipboard and paste them into Claude for analysis. No API, no server, no config.

For teams doing research once a month or testing whether Meta Ads Library analysis is worth automating, this is a sensible starting point. The ceiling is low — you are limited to however many ads you can manually browse, there is no scheduling, and the workflow does not scale beyond three or four competitors before it becomes tedious. Use it to validate that competitive ad analysis moves your creative strategy before investing in a proper MCP setup.

PricingFree (browser extension + Claude free/Pro tier)
ProsNo setup, works in any browser, easy to collect and structure ad copy for Claude analysis
ConsManual process, no MCP integration, does not scale beyond a few competitors, no scheduling
VerdictBest starting point for teams not yet ready to invest in MCP infrastructure but wanting Claude-powered ad analysis today
09Best for full-fidelity creative analysis including video hooks

ScrapeCreators API + custom MCP

ScrapeCreators is the API powering the trypeggy MCP server’s creative analysis capabilities. Where the official Meta API stops at text, ScrapeCreators returns image content and, with a Gemini key wired in, structured video analysis: first-three-second hook, on-screen captions, visual format, and offer type. At $0.005 per request, a weekly scan of 10 competitors running 50 active ads each costs roughly $2.50 — trivially cheap.

The catch is that ScrapeCreators is a data provider, not an MCP server. You need to build the MCP wrapper yourself (or use trypeggy’s open-source version as a starting point). For teams where video hook analysis is central to the creative process — DTC brands running heavy video spend on Reels and Stories — this is the most accurate creative intelligence available. For everyone else, the added setup overhead is not worth it compared to Markifact’s hosted approach.

PricingUsage-based from ~$0.005 per request; no monthly minimum
ProsReturns image content, video hook transcripts, and ad metadata; integrates cleanly with custom MCP wrappers; used by trypeggy under the hood
ConsRequires building your own MCP layer, usage costs add up at scale, dependent on third-party scraping infrastructure
VerdictBest as the data layer inside a custom MCP server when video creative analysis is a core requirement
10Best for developers who live in an IDE and want MCP alongside code

Cursor + custom MCP config

Cursor supports MCP natively via a mcp.json config in the project directory, and any of the MCP servers described above — Markifact, trypeggy, or a custom wrapper around ScrapeCreators — will work in Cursor exactly as they do in Claude Desktop. The difference is context: Cursor sits inside your codebase, so you can write a script that fetches competitor ads, analyze them in the AI panel, and immediately generate creative variation code or update a Google Ads script, all without switching tools.

For marketing teams without a developer setup, Cursor adds friction with no benefit over Claude Desktop. For developer-led growth teams or ad-tech engineers, the ability to combine Meta Ads Library intelligence with code generation in a single workspace is genuinely useful. Pair it with Markifact as the MCP server for the fastest path to data, and see our guide on connecting Claude to ad platforms via MCP for the broader stack.

PricingCursor Pro $20/mo; MCP server costs vary by choice
ProsMCP config lives in the same workspace as your code, easy to build automation scripts around Ad Library data, supports all MCP servers
ConsNot a purpose-built marketing tool, requires developer comfort, no pre-built marketing prompts or Skills
VerdictBest for developers building ad-tech tools who want Meta Ads Library queries alongside their codebase, not as a standalone marketing workflow

What prompts actually work with Meta Ads Library MCP?

Once the MCP is connected, the quality of your competitive intelligence depends entirely on how you prompt Claude. Here are the prompt patterns that produced the most actionable outputs in our testing:

Creative format audit

“Show me the breakdown of creative formats — video, carousel, and single image — that [Competitor A] and [Competitor B] are currently running on Meta. Which brand is investing more in video, and what hook types are they using in those videos?”

Why it works: Forces Claude to quantify format strategy, not just list ads. Produced a format-split table in under 30 seconds in our tests.

Hook pattern extraction

“Search the Meta Ads Library for all active ads from [Brand]. Extract every opening hook from the ad copy and group them by pattern — question hooks, social proof hooks, pain-point hooks, and curiosity gaps. Which pattern appears most frequently?”

Why it works: Directly feeds a hook library for your own creative team. Works best with 20+ active ads to analyze.

Offer and CTA comparison

“Compare the offers and calls to action used by [Brand A], [Brand B], and [Brand C] in their current Facebook and Instagram ads. Which brand is leading with discount offers vs. free-trial offers vs. urgency CTAs?”

Why it works: Surfaces offer strategy differences that often explain conversion rate gaps between competitors.

Creative brief generation

“Based on the top 10 most-repeated ad patterns from [Competitor] in the Meta Ads Library, generate a creative brief for a new Meta ad campaign for my brand, [Your Brand], which sells [Product] to [Audience]. Adapt what is working for them to our positioning.”

Why it works: The full loop: from competitor data to a brief your creative team can act on immediately.

For a broader prompt library covering Google Ads, Meta Ads, and multi-platform research, see our Claude marketing skills library. And for the step-by-step on connecting Claude to your own Meta Ads account (not just the public library), the Meta Ads MCP connection guide and our best MCP servers for Meta Ads roundup cover every option.

Jordan K.

Jordan K.

Paid Media Lead
DTC Apparel Brand

★★★★★
“

We used to spend Monday mornings manually building competitor ad reports. Setting up the Meta Ads Library MCP through Markifact took 8 minutes. Now Claude does the whole brief while I have coffee — and Ryze AI turns those insights into actual campaign changes by the afternoon.”

-87%

Research time saved

8 min

MCP setup time

31%

ROAS improvement

How do you choose the right Meta Ads Library MCP setup for your team?

With ten approaches from free browser extensions to custom scraping pipelines, it comes down to three questions: how technically confident is your team, how many competitors do you track, and whether you need video creative analysis. If you are still deciding what the Ad Library is good for in the first place, start with our Meta Ads Library guide; if you are choosing the platform that will act on the findings, see the best ad management tools of 2026.

Decision 1

What is your team's technical level?

  • Non-technical marketers: Markifact hosted MCP (8-minute setup, no code) or Whatagraph for agency workflows
  • Some technical skill: trypeggy hosted via Proxy or Apify + Claude
  • Developer team: trypeggy self-hosted, ScrapeCreators + custom MCP, or Claude Code + Apify pipeline

Decision 2

How many competitors do you track, and how often?

  • 1–5 competitors, occasional research: Ad Library Helper + Claude paste, or Markifact free tier
  • 5–20 competitors, weekly cadence: Markifact paid, Whatagraph, or trypeggy hosted
  • 20+ competitors, daily monitoring: Apify scheduled pipeline or Claude Code + Apify; Ryze AI for autonomous action on findings

Decision 3

Do you need video creative analysis, or is text copy enough?

  • Text copy is enough (headlines, body, CTA): Markifact, Whatagraph, Meta Ads Library API direct
  • Need image analysis too: trypeggy (self-hosted or hosted)
  • Need video hook analysis: trypeggy + Gemini key, ScrapeCreators + custom MCP, or Apify with a video Actor

The bottom line: competitor research is only worth what you do with it. Ryze AI is the one option here that closes the loop — it connects your own ad accounts, not just the public library, and turns what it learns into executed bid, budget, and creative changes instead of another document to action. If you only want to read the Ad Library, trypeggy’s open-source MCP is the cleanest free specialist and Markifact the fastest hosted setup. Add ScrapeCreators for video hook analysis, or an Apify pipeline if you are tracking 20+ brands daily. For the rest of the stack, see our guides on connecting Claude to Meta Ads via MCP, the best MCP servers for Meta Ads, and the top AI tools for Meta Ads management in 2026.

1,000+ marketers use Ryze

State Farm
Luca Faloni
Pepperfry
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Slim Chickens
Superpower

Automating hundreds of agencies

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Motif
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G2★★★★★4.9/5
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Frequently asked questions about Meta Ads Library MCP

What is the Meta Ads Library MCP?

The Meta Ads Library MCP is a Model Context Protocol server that connects Meta's public Ad Library to Claude (or any MCP-compatible AI client). Once configured, you can ask Claude natural-language questions — 'what ads is [competitor] running right now?' — and Claude queries the Ad Library in real time, returning ad copy, creative formats, hook patterns, and offer structures without any manual browsing.

Do I need an API key to use the Meta Ads Library MCP?

It depends on which server you use. Markifact's hosted MCP requires no API key — they manage token access on the server side. The trypeggy self-hosted server requires a ScrapeCreators API key (and optionally a Gemini key for video analysis). The official Meta Ads Library API requires a Facebook Developer app and access token. For most teams, Markifact's no-key approach is the fastest start.

Is using the Meta Ads Library MCP against Meta's terms of service?

The Meta Ads Library is a public transparency tool — Meta explicitly makes it accessible to anyone. Querying public ad data via the official API or through MCP servers that wrap it is not a terms-of-service violation. The risk of account bans applies to connectors that access your private ad account data via unauthorized methods, not to public Ad Library queries. Always check the latest Meta Platform Terms for your specific use case.

How is the Meta Ads Library MCP different from the Meta Ads MCP?

The Meta Ads Library MCP connects to Meta's public Ad Library — competitors' ads visible to everyone — for competitive research. The Meta Ads MCP connects to your own private Meta Ads account for campaign management. Meta launched an official Ads MCP connector in open beta in April 2026. They are separate products for different purposes: one is competitive intelligence, the other is account management.

What can Claude actually do with Meta Ads Library data once connected?

Once the MCP is connected, Claude can search active ads by advertiser or keyword, compare creative format splits across brands, extract and categorize hook patterns from ad copy, identify offer structures and CTA language, analyze testing velocity (how many ad variants a brand is running), and generate creative briefs based on what is working for competitors. With a video-capable server like trypeggy plus Gemini, Claude can also analyze first-three-second hooks and visual formats from video ads.

What is the easiest way to connect Meta Ads Library to Claude in 2026?

Markifact's hosted MCP is the easiest setup: open Claude Desktop, go to Settings, select MCP Servers, add a new server, choose Streamable HTTP transport, and paste the Markifact URL. Restart Claude and the meta_ads_library tool is immediately available. No API keys, no Python environment, no configuration files. The whole process takes under 8 minutes. Ryze AI goes further — it not only surfaces competitive ad intelligence but also acts on it, automatically improving your own Meta campaigns based on what it finds.

Connect Meta Ads Library to Claude

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