
ZuckerBot — Meta Ads MCP Server
io.github.CrumbedsausagePublished by GitHub account Crumbedsausagev0.4.4Updated Oct 24, 2026
60+ Meta Ads tools for AI agents: audits, campaign management, audiences and CAPI tracking.
Overview
ZuckerBot is a Meta Ads MCP server that lets an AI assistant audit ad accounts, manage campaigns and audiences, and track conversions through the Meta Marketing
- What you can do
- Audit an ad account and pull campaign, ad set and ad-level performance and account insights, including lead and cost metrics and creative analysis and policy checks. Create, preview, launch, pause and resume campaigns, ad sets and ads, and duplicate or build paused ads from uploaded assets. Build custom and lookalike audiences, refresh them and check their status. Configure server-side conversion tracking (CAPI), send test events and lead-quality feedback, and manage pixels. Research competitors, reviews and market benchmarks, and enrich business context from a website or uploaded text.
- When to use it
- Useful when you want to run Meta advertising from a chat with an AI agent instead of the Ads Manager dashboard: auditing spend, checking performance, planning and launching campaigns, or setting up conversion tracking. The free tier is read-only, so it suits evaluation and reporting before committing to a paid plan.
- Requirements
- Either a hosted Streamable HTTP endpoint with OAuth or a bearer API key, or the local npm package run through npx, which needs Node.js. A ZuckerBot API key is required, supplied as the ZUCKERBOT_API_KEY environment variable or as a bearer token. A connected Meta ad account and Facebook page are needed for account tools. Creative generation tools stay off unless enabled with ZUCKERBOT_ENABLE_CREATIVE_TOOLS.
Installation
In SourceWeft
- Open ZuckerBot — Meta Ads MCP Server in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/io.github.Crumbedsausage%2Fzuckerbot/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"zuckerbot-meta-ads": {
"type": "http",
"url": "https://zuckerbot.ai/api/mcp"
}
}
}README
ZuckerBot
The Meta Ads toolkit for AI agents.
Audit your ad account in one message. 50+ tools for account auditing, campaign management, creative analysis, audience building, and conversion tracking. One npx command. Works with Claude, ChatGPT, OpenClaw, Cursor, and any MCP-compatible agent.
[npm version] [License: MIT] [MCP Registry] [GitHub stars]
Get API Key (free) · npm · Docs · Website
Why ZuckerBot?
Your agent already writes code, manages files, and searches the web. It should manage your ads too.
ZuckerBot gives any AI agent full Meta Ads capabilities through MCP. No dashboard, no UI to learn, no platform to log into. Your agent installs it, connects your ad account, and gets to work.
What agents can do with ZuckerBot:
- Audit your ad account in one message — spend flagged for review, creative fatigue, opportunity score, prioritised action items (free tier included)
- Pull campaign performance and spot what's working
- Analyse ad creatives and recommend what to test next
- Build and launch campaigns with targeting and budget
- Create custom and lookalike audiences
- Set up server-side conversion tracking (CAPI)
- Research competitors, reviews, and market benchmarks
- Generate ad creative briefs and copy
How it works
ZuckerBot handles the Meta API complexity. Your agent handles the conversation. You make the decisions.
Install
Claude Desktop
Add to claude_desktop_config.json:
OpenClaw
Add to your MCP config:
Cursor / Windsurf / Any MCP Client
Same config pattern. ZuckerBot works with any client that supports the Model Context Protocol.
Remote MCP (no install)
Don't want to run anything locally? https://zuckerbot.ai/api/mcp is a hosted Streamable HTTP endpoint serving the same tools.
- claude.ai — add it as a custom connector (Settings → Connectors → Add custom connector) and authenticate via OAuth, or pass an
Authorization: Bearer zb_live_...header. - Claude Code:
- Any Streamable HTTP client — point it at
https://zuckerbot.ai/api/mcpwith your API key as a bearer token.
CLI (for humans)
Tools (50+)
Audit & Licensing (2)
Setup & Account (7)
Campaigns (9)
Audiences (6)
Creatives (8)
* Creative image/video generation tools (generate_static_ad, generate_video_ad, get_video_ad_status, generate_creatives, request_creative) are disabled by default — enable them with ZUCKERBOT_ENABLE_CREATIVE_TOOLS=1 in your MCP config env (paid add-on coming). All creative analysis tools stay available.
Conversion Tracking / CAPI (5)
Reporting (2)
get_campaign_insights surfaces three distinct lead figures rather than one collapsed number, each verified against Ads Manager:
Costs are derived as spend / count; Meta's cost_per_action_type is non-additive and is never summed. The same fields roll up in summary as total_meta_result / blended_cost_per_meta_result (with meta_result_type), total_meta_leads / blended_cost_per_meta_lead, and total_conversion_leads / blended_cost_per_conversion_lead (with total_leads / blended_cpl deprecated alongside their per-row counterparts).
Portfolios (5)
Research (3)
Business Context (4)
Typical Agent Flow
Every tool returns a _hint field suggesting the logical next step, so your agent always knows what to do next.
Shorthand: legacy create -> review -> launch -> monitor. Intelligence activation and portfolio launch are temporarily unavailable; existing Meta objects use the reviewed resume workflow below for spec-built and external campaigns.
MCP names include zuckerbot_enrich_business, zuckerbot_upload_business_context, zuckerbot_get_campaign, zuckerbot_activate_campaign, and zuckerbot_create_seed_audience.
zuckerbot_duplicate_ad duplicates one supported ad into an existing ad set in the same ad account — dry-run by default, always created PAUSED, and executes only with an explicit idempotency_key so a retry can never create the ad twice.
zuckerbot_upload_ad_asset uploads a brand-new image or video file into the connected ad account's library from a hosted https URL (Meta downloads it directly), returning the image_hash or video_id; poll zuckerbot_get_ad_asset_status until a video is processed.
zuckerbot_create_ad then builds one new creative + one new PAUSED ad from that asset in any EXISTING ad set — including live campaigns built outside ZuckerBot — with the same dry-run-first, idempotency_key-gated contract as duplication.
ZuckerBot vs alternatives
Pricing
Free tier gets you started. Pro pays for itself with one optimised campaign.
Lifetime deal
Grabbed a ZuckerBot lifetime licence on Dealify? Codes look like ZB-XXXXX-XXXXX-XXXXX and stack on one account:
Redeem straight from your agent with the zuckerbot_redeem_license tool ("redeem my ZuckerBot code ZB-...") or in the browser at zuckerbot.ai/start.html. Redeeming upgrades every API key on your account — and if you don't have a key yet, one is minted for you (shown once, so save it).
Example conversation
You: How are my Meta campaigns doing this week?
Agent calls
get_account_insights+creative_analysisAgent: You spent $2,340 across 4 campaigns this week. Your LAL campaign is crushing it at $28 CPL — that's 40% below your account average. But your broad targeting campaign is at $95 CPL and burning budget. The "customer testimonial" creative has a 3.2% CTR vs 1.1% for your product shots. I'd recommend pausing the broad campaign and shifting that budget to the LAL.
You: Do it.
Agent calls
pause_campaign+ (budget adjustment)
Development
License
MIT
Activate a PAUSED spec-built campaign
Use zuckerbot_resume_campaign (POST /v1/meta/resume) with the real Meta
campaign_id (spec-built or external campaigns, not managed ZuckerBot drafts), optional business_id, and entity_level (ad, adset, or
campaign). For an ad or ad set, include its entity_id.
- Call with
dry_run: true(default). Review the returned hierarchy, account currency, budgets, campaign spend cap and ad-set end dates with the user. Amounts are minor currency units; a daily budget is not a total spend cap. - After explicit approval, send the same target with
dry_run: false,confirm_spend: true, the returnedpreview_hashand a uniqueidempotency_key(8–128 letters, digits, dots, underscores, colons or hyphens). - For a new spec build, repeat for each intended ad, then ad set, then the campaign last. Obtain a fresh preview for each operation. Activation never cascades to other paused objects and preserves all spend controls.
- Use
zuckerbot_pause_campaignto stop any of these objects. Campaign-level pause accepts the real Meta campaign ID; passbusiness_idif needed.
Retry the exact request/key after a transport failure. An uncertain outcome
requires live status inspection (or pausing) before further activation. A stored
successful response describes that operation; replay does not reactivate an
object paused afterwards. ACTIVE is configured status; Meta review, schedules,
and parent/child status can still prevent delivery. Campaigns with more than
100 ad sets or 100 ads require Ads Manager for this preview workflow.
The hosted MCP receives this tool when its API deployment ships. Installed local MCP clients require a package release containing the tool. The legacy draft launch tool is not used for activating objects created by the spec builder.
Local ad asset uploads
Run the stdio MCP or CLI on the machine containing the files.
zuckerbot_upload_ad_asset accepts exactly one of asset_url, an absolute
file_path, or files: [{ file_path, label? }] (up to 20). Local files may be
JPG/JPEG/PNG (30 MB maximum) or MP4/MOV (4 GB maximum). The client validates all
files before a batch starts, transfers them privately in bounded chunks, and
returns per-file results in order. No manual public hosting step is needed.
Images include image_hash, original width, height, and name; videos retain
the existing processing status/polling flow. A failed batch entry does not undo
previous library uploads. Hosted MCP cannot access local paths: use a local client
or asset_url. Library uploads do not create ads or enable delivery.
Source: README.md at commit b4b5334
Tools
0Version history
1- v0.4.4LatestSep 16, 2026
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