Top 5 Meta Ads API Wrappers Compared (2026)

Why people look for a Meta Ads API wrapper

The raw Meta Marketing API (currently Graph API v25.0) is powerful, and it is a pain to work with. Budgets come back as strings in cents. Conversions are buried in nested action arrays. Rate limits are opaque. OAuth tokens expire and have to be refreshed. Historically, anyone who wanted to manage Meta ads programmatically had to write the same normalization, retry, and token-management plumbing before they could do anything useful.

That is why "Meta Ads API wrappers" became a popular search. A wrapper sits between you and Meta and smooths over the rough edges.

But the reason most people are looking in 2026 has changed. It is no longer only developers who want a cleaner REST API. A much larger group has shown up: marketers, brand owners, and agency operators who want their AI assistant (Claude, ChatGPT, Cursor, and others) to run their ad accounts for them, in plain English. For that, you do not want a code library at all. You want a connector your AI agent can plug into.

So the right choice depends on which of these you are. Here are the five most relevant options, what each one actually is, and who it fits.

1. Xylo

Type: MCP server plus REST API (hosted connector)

Xylo is the connector that lets your AI assistant work directly inside your ad accounts. You connect Meta, Google, or TikTok once, point your AI app at Xylo, and then just talk to it. The agent does the real work across all three platforms and reports back what it changed. No dashboards, no CSV exports, no glue code.

What it does well

• Built for AI agents. Xylo is an MCP (Model Context Protocol) server for Meta ads, so it works natively with Claude (on claude.ai or Claude Desktop), ChatGPT (any paid plan, in Developer mode on the web), Cursor, Claude Code, Codex, and anything else MCP-compatible. It is the only option on this list designed for AI agents from the ground up.
• You manage ads by chatting. Ask "Launch a Reels campaign," "Why is my cost per purchase up this week?", or "Send me the Friday report," and the agent handles it. Hours of account work, done in a sentence.
• One tool surface for three platforms. Over 300 read and write ad operations across Meta (Facebook and Instagram), Google Ads, and TikTok Ads, plus AI, creative, and cross-platform features, all through 25 tools that load instantly in any AI client. It covers essentially every Ads Manager surface, including true cross-platform reporting (one normalized report across all three).
• Safe by default. New campaigns are created paused, so nothing spends until you approve. Your access tokens are encrypted (AES-256) and the agent never sees your credentials.
• Clean data underneath. Budgets come back as dollars, not cent strings. Metrics are flat. Responses are cached with sensible TTLs and protected with automatic retry, so the same broad question does not hammer the platform APIs. Developers who do want the REST path get this for free.

Limitations

• Hosted service, so your requests pass through Xylo's infrastructure.
• It focuses on the surfaces marketers and agencies actually use rather than exposing every obscure raw field.
• Newer than some of the heavyweight platforms below.

Pricing

Plan	Price	What you get
Free	$0 (no card)	1 ad account per platform, full MCP server and REST API, 50 tool calls/mo, 3 creative analyses/mo, 60 req/min
Brand	$67/mo	3 ad accounts included (then $15 per extra, up to 11), unlimited tool calls, 20 creative analyses/mo, bulk operations, 5 team seats, 120 req/min
Agency	$197/mo	30 ad accounts included (then $12 per extra, unlimited), 50 creative analyses/mo, per-account scoping, 20 team seats, 600 req/min

Brand is the most popular plan and comes with a 7-day free trial. Both Brand and Agency offer an optional data-warehousing add-on.

Best for

Marketers, founders, and agencies who want to run Meta, Google, and TikTok ads by talking to their AI assistant instead of clicking through three Ads Managers. Developers who want a clean, normalized multi-platform REST API are a great fit too.

2. Facebook Business SDK

Type: Official client library (open source, self-hosted)

Meta's own SDK, available for Python, PHP, Java, Ruby, and Node.js. It wraps the Graph API in language-native objects, but it does not transform the data much. This is a tool for software developers writing their own integration, not something an AI assistant can talk to.

What it does well

• Official and current. Maintained by Meta and kept up to date with the latest API version.
• Full API coverage. Exposes every endpoint and field the raw API supports.
• Typed objects. Provides typed resources for campaigns, ad sets, ads, and more.
• No intermediary. Your data goes directly to Meta's servers.

Limitations

• Minimal normalization. Budgets are still in cents, actions are still nested arrays, so you write the same transformation code yourself.
• No caching and no rate-limit handling. You build both.
• Token management is on you. OAuth refresh, storage, and rotation are your job.
• No AI agent path. It is a code library, so your assistant cannot use it directly. You would have to build that bridge yourself.

Pricing

Free (open source, MIT license).

Best for

Engineering teams who want full Meta API access, prefer a self-hosted approach, and have the developer time to handle normalization, caching, and tokens. Best for Meta-only integrations where you need every field.

3. Pipeboard

Type: Hosted API service (REST plus dashboard)

Pipeboard is a hosted ads API that supports Meta alongside Google, TikTok, LinkedIn, Snapchat, X/Twitter, and Pinterest. It offers broader raw platform coverage than most alternatives.

What it does well

• Broad platform support. Seven or more ad platforms behind a single API.
• Campaign management. Full create, read, update, and delete operations across supported platforms.
• Established. Enterprise customers and a track record.

Limitations

• Light normalization. Responses stay close to each native platform's format, quirks included.
• No MCP server. REST only, so there is no native way for an AI assistant to plug in and act on its own.
• Opaque pricing. Getting numbers requires a sales conversation.
• Less public documentation than Xylo or the Facebook SDK.

Pricing

Not publicly listed. Contact sales.

Best for

Teams that need a single REST API for many ad platforms and are comfortable with responses closer to the native format, on a traditional SaaS sales cycle.

4. AdEspresso API

Type: Hosted management platform with API access

AdEspresso (owned by Hootsuite) is primarily a campaign management platform with a web UI. It offers API access to its features, including campaign creation, A/B testing, and reporting.

What it does well

• Guided campaign creation. Setup workflows with A/B testing built in.
• Reporting UI. Visual dashboards and PDF reports.
• Rule-based automation. Built-in rules for pausing, scaling, and alerting.
• Audience management. Simplified audience creation.

Limitations

• Meta-only. Focused on Facebook and Instagram ads.
• API is secondary. It is a UI-first tool, so API access is limited next to the direct Meta API.
• No AI agent path. Not designed for an assistant to drive.
• Tied to the Hootsuite ecosystem. May require a Hootsuite subscription.

Pricing

Part of Hootsuite's tiers. Starts around $49 per month for small teams.

Best for

Marketing teams that want a visual campaign management tool with some API access for Meta ads. Not aimed at AI-agent workflows.

5. Smartly.io

Type: Enterprise creative and campaign management platform

Smartly.io is an enterprise platform focused on creative automation and campaign management at scale. It offers API access to dynamic creative optimization, automated bidding, and cross-channel management.

What it does well

• Creative automation. Dynamic creative assembly and automated image and video generation.
• Scale. Built for large advertisers running thousands of campaigns.
• Cross-channel. Supports Meta, Google, TikTok, Snapchat, and Pinterest.
• Advanced optimization. Predictive budget allocation and bid optimization.

Limitations

• Enterprise pricing. Out of reach for small teams and individuals.
• Heavy platform. A full campaign management suite, not a lightweight connector.
• No AI agent path. Built for marketing operations teams, not assistant-driven workflows.
• Complex setup. Implementation usually involves onboarding with a customer success team.

Pricing

Enterprise pricing (typically $10,000+ per month). Contact sales.

Best for

Large enterprise advertisers spending $100K+ per month who need creative automation and cross-channel management at scale.

Comparison matrix

Feature	Xylo	FB SDK	Pipeboard	AdEspresso	Smartly.io
Meta Ads	Yes	Yes	Yes	Yes	Yes
Google Ads	Yes	No	Yes	No	Yes
TikTok Ads	Yes	No	Yes	No	Yes
Works with your AI assistant	Yes (MCP)	No	No	No	No
Manage ads in plain English	Yes	No	No	Partial (UI)	No
Cross-platform reporting	Yes	No	Partial	No	Yes
Data normalization	Aggressive	None	Light	Moderate	Moderate
Built-in caching	Yes	No	Varies	N/A	N/A
Rate-limit handling	Automatic	Manual	Varies	N/A	N/A
Self-hosted option	No	Yes	No	No	No
Free tier	Yes	Yes (OSS)	Trial	No	No

Decision guide

Choose Xylo if: you want to run Meta, Google, and TikTok ads by talking to your AI assistant, or you want a clean, normalized multi-platform REST API for both reads and writes.

Choose Facebook Business SDK if: you have engineers, you want full Meta API access, and you are happy to build normalization, caching, and token handling yourself.

Choose Pipeboard if: you need one REST API for seven or more ad platforms with traditional access and enterprise support.

Choose AdEspresso if: you want a UI-first campaign management tool with basic API access for Meta ads only.

Choose Smartly.io if: you are an enterprise advertiser spending $100K+ per month who needs creative automation at scale.

Getting started with Xylo

You do not need to write code to use Xylo. The setup takes about a minute.

1. Create a free account, no credit card needed.
2. Connect your Meta, Google, or TikTok account through OAuth and pick the ad account you want to manage. Your tokens are encrypted and the agent never sees them.
3. Point your AI app at the Xylo MCP endpoint, https://xylomcp.com/api/mcp. In Claude that means adding it as a connector; in ChatGPT, adding it in Developer mode. Cursor, Claude Code, and Codex work the same way.

Then just ask. For example:

Launch a paused Reels campaign for our spring sale on Meta, $40/day, and walk me through the targeting before anything goes live.

Why is my cost per purchase up this week across Meta and TikTok? Compare it to last week and tell me which ad sets are driving it.

Pause any ad set whose frequency is over 4, then send me a one-paragraph summary of what you changed.

The agent uses Xylo's 300+ ad operations to do the real work and shows you the result. Browse the prompt library for more, and see the documentation if you also want the REST path.

For a deeper Meta-specific look, read Meta Ads API vs Xylo. To see what agent-driven ad management looks like end to end, see building AI agents for ads.

Prefer to write your own integration? Xylo also exposes a normalized REST API at https://api.xylomcp.com. You authenticate with an x-api-key header (keys look like xy_sk_...), and the same Free tier applies. It is a secondary path, though. Most people just connect their AI agent and talk to it.

Ready to try it? Connect Xylo to your AI assistant on the free tier. No card, no setup call, and you can have your agent answering questions about your ad accounts in a few minutes.