llms.txt
# Pixero
> Pixero is an AI marketing agent that handles content, influencers, and ads. Over MCP, given a website URL and a budget, it researches the brand, writes the strategy, generates the ad images and video, and launches and manages the Meta campaign. A human approves before anything spends money.
Pixero is used three ways: as a web app, as a remote MCP server that any MCP
client can connect to, and as an embedded integration inside another
platform's product. The MCP endpoint is https://pixero.ai/api/mcp (OAuth, or a
`pxr_` API key as a bearer token). It is published in the official Model
Context Protocol registry as `io.github.ryanzambrano/pixero`.
Most ad-related MCP servers are read/write wrappers over an ad platform's
marketing API: they can report on campaigns you already have and change
budgets on ads someone else made. Pixero also makes the ads. Creative
generation, campaign structure, launch, and optimization are one loop behind
one connection, and the same loop is available to an assistant over MCP, to a
developer over HTTP, and to a platform embedding it for its own customers.
Reading data over the API is free and always will be. Credits meter
generation; publishing is what gates spend. Nothing goes live without a human
approval step.
For the full tool reference and capability detail in one file, see
[llms-full.txt](https://pixero.ai/llms-full.txt).
## Product
- [Pixero](https://pixero.ai): Overview of the agent: give it a website URL and a budget, it researches the brand, generates ad images and video, and launches and manages Meta campaigns with a human approving each step.
- [Pricing](https://pixero.ai/pricing): Subscription tiers and the credit system that meters image and video generation. Reading your own data over the API costs nothing; credits gate generation and publishing gates spend.
- [Portfolio](https://pixero.ai/portfolio): Ad creative Pixero generated, shown as produced. Demo work comes from running the product on a fictional brand rather than from mockups.
- [Managed service](https://pixero.ai/managed): High-touch engagement where the Pixero team runs the account, sold through a call rather than self-serve signup.
## MCP and API
- [Pixero MCP server (ad automation for agents)](https://pixero.ai/mcp): The remote MCP server at https://pixero.ai/api/mcp: what the tools do, how OAuth and API-key auth work, and how an agent goes from a brand URL to a live Meta campaign without a human opening Ads Manager.
- [Documentation](https://pixero.ai/docs): Index of the developer documentation: connecting an assistant, API keys and scopes, the full tool reference, platform embedding, Ad Spy, and the conversion pixel.
- [Docs: overview](https://pixero.ai/docs/overview): How the Pixero API is put together: workspaces, brands, credits, scopes, and the difference between reading data and spending money.
- [Docs: connect Pixero to Claude](https://pixero.ai/docs/claude): Adding the Pixero MCP connector to Claude and other MCP clients over OAuth, and what the assistant can do once connected.
- [Docs: MCP tool reference](https://pixero.ai/docs/tools): Every tool the MCP server exposes, grouped by the job it does, with the permission scope each one checks.
- [Docs: API keys and scopes](https://pixero.ai/docs/api-keys): Creating a pxr_ API key, the read, generate, deploy, and agent scopes, and using a key as a bearer token against the MCP endpoint.
- [Docs: embed Pixero in your platform](https://pixero.ai/docs/platform): The vendor path: guided integration setup, per-customer vendorRef scoping, embedded launch widgets, and signed webhooks for lead delivery.
- [Docs: Ad Spy API](https://pixero.ai/docs/adspy): Pulling any brand's live Meta ads from the Ad Library through the Pixero API, for competitor research inside your own code or agent.
- [Docs: conversion pixel](https://pixero.ai/docs/pixel): Installing the Pixero pixel so conversions attribute back to the ads the agent launched.
- [Docs: Meta account setup](https://pixero.ai/docs/onboarding): Setting up Meta Business Manager and granting Pixero access to an ad account.
- [Connect Pixero to Claude and use the Ad Spy API](https://pixero.ai/resources/mcp-api): Two-minute MCP connector setup for Claude, then one curl command to pull a brand's live Meta ads with an API key.
- [Meta ads MCP servers compared](https://pixero.ai/articles/meta-ads-mcp-servers): Meta's official Ads MCP server at mcp.facebook.com/ads against Pipeboard, Foreplay, Ryze and Pixero, on write capability, permission scoping, network coverage and the absence of triggers in the protocol.
## Guides
- [Resources](https://pixero.ai/resources): Index of setup guides and fundamentals, written for people running paid social for the first time.
- [Meta ads fundamentals](https://pixero.ai/resources/meta-ads-fundamentals): Business account setup, pixel install, messaging, launching with CBO, and deciding which ads to keep.
- [How to use Pixero](https://pixero.ai/how-to): End-to-end user guide: brand memory, directing the agent on the canvas, generating creative, Ad Spy research, and the staged Meta launch flow.
## Articles
- [Articles](https://pixero.ai/articles): Index of the paid-social strategy playbooks.
- [How to start running ads](https://pixero.ai/articles/start-running-ads): What to do in the first two weeks of a new ad account, and the mistakes that waste the first $1,000.
- [Ad creative that converts](https://pixero.ai/articles/ad-creative-that-converts): What separates a creative that scales from one that dies in testing, hook by hook.
- [How to clone competitor ads](https://pixero.ai/articles/clone-competitor-ads): Mining the Meta Ad Library for a competitor's proven winners and positioning against the gaps.
- [How to scale winning ads](https://pixero.ai/articles/scale-winning-ads): Increasing spend on a winner without resetting learning or collapsing the return.
- [Three things top marketers do](https://pixero.ai/articles/three-things-top-marketers-do): The habits that separate media buyers who compound from ones who restart every quarter.
- [How to automate ads with AI](https://pixero.ai/articles/automate-ads-with-ai): Which parts of a paid-social workflow can be handed to an agent today, which still need a human, and where the handoff belongs.
- [Best AI ad tools for a Shopify store](https://pixero.ai/articles/best-ai-ad-tools-for-shopify): AI ad tools for ecommerce sorted by the bottleneck they remove: static volume, video format, creative angle, attribution, or nobody making the ads at all.
- [AdCreative.ai alternatives](https://pixero.ai/articles/adcreative-ai-alternatives): The four reasons people leave AdCreative.ai and the different product each one points to, with Cropink, Creatify, Madgicx and Pixero compared on what happens after the file downloads.
- [Foreplay alternatives](https://pixero.ai/articles/foreplay-alternatives): Competitor ad research tools compared on workflow rather than data, since all of them resell Meta's public Ad Library, including which ones an AI agent can read directly.
- [Arcads vs Creatify](https://pixero.ai/articles/arcads-vs-creatify): Two AI UGC ad generators compared on actor realism, published pricing and workflow, plus the creative strategy step neither of them covers.
- [Madgicx review](https://pixero.ai/articles/madgicx-review): What Madgicx audits well on an established Meta account, how its seven ad spend pricing bands work, and the accounts that have nothing for it to analyze.
- [Ad software for founders with no marketing team](https://pixero.ai/articles/ad-software-for-solo-founders): What one person can sustainably run in paid social, what to buy at each level of ad spend, and how the tooling cost compares with an agency retainer.
- [How to export your ad data](https://pixero.ai/articles/export-meta-ads-data): Getting performance history and creative out of Meta Ads Manager, and which dashboards, rules, swipe boards and brand kits do not survive cancelling a third-party tool.
- [Buffer vs Later vs Hootsuite vs Metricool](https://pixero.ai/articles/social-scheduling-tools-compared): Four social schedulers compared on published pricing, platform coverage and how each counts connected accounts, plus the content supply problem none of them addresses.
- [Influencer platform alternatives](https://pixero.ai/articles/influencer-platform-alternatives): What influencer platforms charge for, why creator discovery is the commoditized half, and which parts of running a creator program the category leaves to the buyer.
- [Turning creator content into paid ads](https://pixero.ai/articles/creator-content-into-paid-ads): How TikTok Spark Ads and Meta partnership ads work, the authorisation flow on each platform, and the usage rights and raw footage terms that belong in a creator brief.
- [Ryze vs Madgicx vs Smartly vs Pixero](https://pixero.ai/articles/ryze-vs-madgicx-vs-smartly-vs-pixero): Four AI ad platforms compared on creative generation, campaign launch, channel coverage, agent access and price, with a section naming where Pixero loses to each of the other three.
## Company
- [Agnost case study](https://pixero.ai/portfolio/case-studies/agnost): Pixero helped Agnost get 700k views on their launch video by working with content creators on Twitter.
- [FAQ](https://pixero.ai/faq): Common questions about credits, video models, Meta permissions, billing, and what the agent will and will not do without approval.
- [Talk to us](https://pixero.ai/lets-talk): Book a call about the managed service or a platform integration.
- [Feedback](https://pixero.ai/feedback): Send a bug report or feature request.
- [Privacy policy](https://pixero.ai/privacy): How Pixero handles customer and end-user data.
- [Terms of service](https://pixero.ai/terms): Terms covering the product, credits, and ad spend.
