Top Meta Ads API Wrappers and Connectors Compared (2026)
A plain-English comparison for brands and agencies: Xylo, Meta's own MCP connector, the Facebook Business SDK, Pipeboard, AdEspresso, and Smartly.io, with pricing.
Why people look for a Meta Ads API wrapper
If you run a brand or an agency, you probably arrived at this search sideways. You did not wake up wanting an API. You wanted your Meta reporting to stop eating your Monday, or you wanted your AI assistant to actually do something in the account instead of talking about it, and somebody told you that meant "the Meta Ads API."
Here is the background in one paragraph, and then we can talk about what you actually pick. Meta's Marketing API is powerful and unpleasant: budgets come back as text measured in cents, purchases are buried inside nested arrays, rate limits are opaque, and access tokens expire on their own schedule. A "wrapper" is anything that sits in between and cleans that up so a human, or an AI, can use it.
What changed in 2026 is who is asking. It is no longer mostly developers wanting a tidier API. It is marketers, brand owners, and agency operators who want their AI assistant (Claude, ChatGPT, Cursor, and others) to run the account 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, and there are now real options.
So the right choice depends on which of those you are. Here are the 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, TikTok, or X once, point your AI app at Xylo, and then just talk to it. The agent does the real work across all four 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 (all plans, Developer mode), 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 four platforms. Over 300 read and write ad operations across Meta (Facebook and Instagram), Google Ads, TikTok Ads, and X Ads, plus Klaviyo email and SMS, all through 28 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 four).
- Creative, not just numbers. AI creative analysis judges an ad against your own account's KPIs, and your agent can generate on-brand images and video ads from your real logo and product shots.
- Reporting you can hand to a client. Your agent builds live dashboards from the same connected accounts and gives you a shareable link, instead of another spreadsheet.
- 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 and retried automatically, so a broad question does not stall halfway through. If your team maintains its own software, the same normalized data is available through Xylo's API.
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 account integration per supported platform, full MCP server and REST API, 150 tool calls/mo, 3 creative analyses/mo |
| Brand | $87/mo | Unlimited tool calls, AI-built live dashboards, 2,000 generation credits/mo, 20 creative analyses/mo, bulk operations, 5 team seats, extra integrations $15 each |
| Agency | $247/mo | 30 account integrations included (then $12 per extra, unlimited), shared client dashboards, 5,000 generation credits/mo, 50 creative analyses/mo, per-account scoping, 20 team seats |
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. Current numbers live on the pricing section of the homepage.
Best for
Marketers, founders, and agencies who want to run Meta, Google, TikTok, and X ads by talking to their AI assistant instead of clicking through four Ads Managers. Teams that also maintain their own software get a clean, normalized multi-platform API for free alongside it.
2. Meta's own MCP connector
Type: Official MCP connector from Meta (hosted)
Meta now ships its own MCP connector for Facebook and Instagram ads. You point Claude or ChatGPT at it, authorize your account, and your agent can read campaigns, pull insights, and build ads. It is real software from the platform itself, it is free, and for everyday reading and simple builds it works.
What it does well
- Official. It is Meta's own connector against Meta's own API.
- Free. No subscription on top of your ad spend.
- Good at reading. Campaign structure, insights, and account data come back fine.
Limitations
- Meta only. No Google, TikTok, X, or email, so no cross-platform report.
- The gap shows at the ad level. The fields that decide how creative is assembled and delivered are largely absent from its documented inputs, and what you can force through cannot be read back to verify. We connected both connectors to the same live ad account and wrote up exactly where they diverge.
Best for
A brand running Meta alone that mostly wants to read the account and build simple ads, and does not need to verify how a creative was assembled.
3. 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.
4. 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.
5. 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.
6. 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 | Meta MCP | FB SDK | Pipeboard | AdEspresso | Smartly.io |
|---|---|---|---|---|---|---|
| Meta Ads | Yes | Yes | Yes | Yes | Yes | Yes |
| Google Ads | Yes | No | No | Yes | No | Yes |
| TikTok Ads | Yes | No | No | Yes | No | Yes |
| Email and SMS (Klaviyo) | Yes | No | No | No | No | No |
| Works with your AI assistant | Yes (MCP) | Yes (MCP) | No | No | No | No |
| Manage ads in plain English | Yes | Yes | No | No | Partial (UI) | No |
| Cross-platform reporting | Yes | No | No | Partial | No | Yes |
| AI creative analysis and generation | Yes | No | No | No | No | Creative automation |
| Shareable live dashboards | Yes | No | No | No | Yes (UI) | Yes |
| Data normalization | Aggressive | Light | None | Light | Moderate | Moderate |
| Rate-limit handling | Automatic | N/A | Manual | Varies | N/A | N/A |
| Free tier | Yes | Free | Yes (OSS) | Trial | No | No |
Decision guide
Choose Xylo if: you want to run Meta, Google, TikTok, and X ads (and your Klaviyo email) by talking to your AI assistant, you want client-ready dashboards out of the same connection, or you need to verify exactly how an ad was built.
Choose Meta's own connector if: Meta is your only channel, you mostly read and build simple ads, and free matters more than depth. Read the head-to-head first so you know what you are giving up.
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.
- Create a free account, no credit card needed.
- Connect your Meta, Google, TikTok, or X account through OAuth and pick the ad account you want to manage. Your tokens are encrypted and the agent never sees them.
- 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 and our head-to-head against Meta's own connector. To see what agent-driven ad management looks like end to end, see building AI agents for ads.
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.
Hand your ad accounts to an AI agent
Connect Xylo to Claude, ChatGPT, or any AI agent free — no code, no card required.
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