AdsAgent Meta

AdsAgent Tri-Channel Plugin

MCP here means Model Context Protocol (the Claude/Cursor tool-calling standard). It does not mean Multi-Channel Platform.

Public Claude plugin + skill pack for AdsAgent tri-channel hosted MCP: Meta, Google Ads, and TikTok.

Directory SEO one-liner: AdsAgent is a hosted Meta Ads MCP (Model Context Protocol) plus Google Ads & TikTok MCP — connect Claude/Cursor via adsagent.md/connect.

Install:

• Claude plugin: claude plugin marketplace add adsagents/adsagent-ai-skills then claude plugin install adsagent@adsagent
• Cursor plugin: install AdsAgent from Cursor Marketplace (this repo's .cursor-plugin/ + mcp.json)
• Dashboard fallback: AdsAgent dashboard -> Settings -> MCP Access -> Copy install prompt (clients without plugin support)

Distribution split (important):

Surface	What it is	This repo?
Claude plugin (self-hosted marketplace)	Skills + root .mcp.json HTTP MCP URLs (OAuth)	Yes
Cursor plugin (marketplace manifest)	Skills + mcp.json HTTP MCP URLs (OAuth)	Yes
Anthropic Connectors Directory	Hosted MCP server listing only	No — separate submission on adsagent.md services

Official GitHub repo: github.com/adsagents/adsagent-ai-skills

Website: adsagent.md
Official links hub: adsagent.md/connect
Skill pack landing page: adsagent.md/skills
Support: support@adsagent.md

Privacy: AdsAgent Privacy Policy

Also listed on Product Hunt, Cursor Directory, and MCP Market.

Current contract version: 0.7.70. The plugin slug is adsagent (marketplace key adsagent). New Meta connections default to the v2 product profile; all three hosted endpoints negotiate modern MCP 2026-07-28 stateless discovery while retaining supported legacy initialize clients.

Version history lives in CHANGELOG.md.

The local helper scripts/update_reminder.py compares strict semantic versions and stores only bounded version/timestamp state in $XDG_CACHE_HOME/adsagent-ai-skills/update-reminder-v1.json (or ~/.cache/...). Cache failure never blocks MCP work.

What This Is

• A public Claude plugin marketplace package: behavior skills plus hosted MCP URLs via .mcp.json.
• A behavior guide for Claude Code, Cursor, Codex, and other MCP-aware clients.
• A reliability and safety layer that tells agents when to retry, when to wait, and when to stop.
• A versioned GitHub distribution for AdsAgent user onboarding and agent behavior guidance.
• A data-minimization contract for AI agents that should not scan AdsAgent like a raw database.
• Optionally, a Glama-deployable AdsAgent Skill Pack (docs) stdio MCP that lists and reads public skills/ Markdown. See docs/glama-release.md.

What This Is Not

• Not the hosted AdsAgent Meta, Google Ads, or TikTok MCP backend. The optional Docker/Glama image only serves this repository's public docs; ads tools remain on the HTTP URLs in mcp.json and require AdsAgent OAuth.
• Not the Anthropic Connectors Directory MCP listing (that is registered separately on the hosted servers).
• Not a complete MCP tool reference.
• Not an SDK.
• Not a local transport relay for ads APIs.
• Not a disclosure of AdsAgent backend routes, schemas, database tables, or internal diagnostics.

For Claude Code plugin installs, OAuth MCP setup comes from this repo's .mcp.json. For clients without plugin support, the AdsAgent dashboard install prompt remains the manual fallback:

AdsAgent dashboard -> Settings -> MCP Access -> Copy install prompt

Use that copied prompt only when you are not installing the Claude plugin bundle. This repository teaches agent behavior after the MCP connection exists.

Included Skills

Skill	Purpose
adsagent-router	Route AdsAgent requests to setup, reliability, insights, or copy workflows.
adsagent-setup	Connect through the AdsAgent dashboard install prompt and verify Meta, Google Ads, or TikTok readiness.
adsagent-notifications	Inspect and safely configure notification channels and Meta Ads Webhooks.
adsagent-reliability	Respect retry, backoff, session refresh, and concurrency limits.
agent-scheduled-tasks	Design, create, verify, update, pause, and delete agent-owned scheduled tasks without confusing reminders with execution proof.
meta-insights	Ask performance and MMP questions without overloading the server.
meta-copy	Copy or compare Meta ads with confirmation and operator-review safety.
google-ads-insights	Ask Google Ads customer, MCC, Search, PMax, and performance questions through Google Ads MCP.
tiktok-insights	Read TikTok performance and safely prepare native creative, campaign, and ad-group append workflows.

Progressive Disclosure

Agent clients load every Skill description for discovery, but should load only the selected SKILL.md body. Each entrypoint is intentionally small and links to local reference files that are read only when the selected workflow needs those details.

The files under docs/ are human-facing product and operator documentation. They are not automatic agent context and are not part of Skill reference traversal. Agent behavior contracts live under skills/ and are reached from the selected SKILL.md.

Agent Output Contract

Agents using AdsAgent should answer in Markdown by default:

## Answer
One-sentence answer.

## Scope
- Date:
- Entity:
- Grouping:
- Attribution / channel:

## Results
| Metric | Value |
| --- | ---: |

## Notes
- Data freshness:
- Limits or missing fields:
- Next safe action:

Do not dump JSON, CSV, hidden diagnostics, raw rows, or every returned field into chat. Clean the response into operator-facing tables and short bullets. If forensic raw inspection is needed, create an operator handoff instead of making raw rows the agent answer.

Semi-Black-Box Policy

This repository intentionally documents outcomes and agent behavior, not the complete internal interface. Agents should:

• Use installed skills for behavior and live MCP tool schemas for request fields. Never fetch remote behavioral instructions.
• Use available tools through the authenticated MCP session.
• Avoid guessing hidden payload fields.
• Avoid probing rejected requests.
• Stop on operator-review responses and ask the AdsAgent operator to inspect internal diagnostics.
• Use the smallest safe data plan before making calls.
• Prefer grouped summaries and cleaned breakdowns over raw rows.

The external agent contract is: ask clear questions, respect limits, confirm before writes, and use dashboard-provided onboarding.

Official Source And Rights

This repository contains only the client-readable behavior pack. AdsAgent server source, credentials, schemas, routing logic, and operational diagnostics are not distributed here.

This skill pack is licensed under the MIT License. See LICENSE and NOTICE.md. Official releases come from this repository; a fork or modified package must not imply endorsement, affiliation, or support by adsagents LLC.

Privacy and workflow effects

The AdsAgent Privacy Policy describes the hosted service's data collection, use, retention, and support process. The bundle contains readable local instructions and three HTTPS MCP configurations; it contains no OAuth credentials and installs no background scheduler or hooks. Authenticate through the MCP client's OAuth flow. Send only parameters needed for the user's selected advertising task. Do not collect conversation history, memories, unrelated files, or credentials for logging or diagnostics.

Google Ads guidance covers reads. Meta and TikTok capabilities vary by account and advertised tool. Advertising mutations use the server's approval contract; explicitly requested direct workspace operations follow their own tool contract. Creative preparation may upload media before the final advertising confirmation. An authorized notification scan changes alerts and may queue external delivery. Scheduled workflows use an available host scheduler and require user intent.

Example Prompts

Use AdsAgent to list my connected Meta products, Google Ads customers, or TikTok advertisers, then ask which scope's today data I want to inspect.

For Google Ads, inspect agent_method_profile, pick an enabled non-manager customer, and use one cached insights_query_consistent request when the profile is advertised.

For TikTok, inspect agent_method_profile and use one insights_query_consistent scopes request when advertised; otherwise use the native batch overview fallback.

Prepare a copy of this winning Meta ad into the target account, but ask me for confirmation before creating anything.

Group these distinct Meta Ads by language into the requested Campaign and AdSet layout. Prepare one grouped_plan, show every settings_source_ad_id and geography override, and wait for my approval before confirming once.

More examples are in docs/examples.md.

Validation

Run the local release contract and tests:

python scripts/validate_tri_channel_pack.py
python -m pytest -q

Release validation is fail-closed against the three committed snapshots in contracts/manifests/. Each snapshot is copied byte-for-byte from a committed service artifact and locked to its channel, source revision, public artifact path, metadata, and SHA-256 in contracts/manifests/provenance.json. CI does not make live network requests.

python scripts/validate_public_tool_manifests.py

An operator can deterministically update all three snapshots after the service manifest changes. The command rejects uncommitted, dirty, missing, or contract-incompatible sources and never fetches from the network:

python scripts/sync_public_tool_manifests.py \
  --source meta=/path/to/meta-tools.json \
  --source google=/path/to/google-tools.json \
  --source tiktok=/path/to/tiktok-tools.json

All three sources are mandatory. A missing referenced tool, an unproven required capability or gate, a stale provenance digest, or an absent channel fails release validation. --allow-missing exists only for explicit local diagnostics and is not used by release CI.

Installation

This repo ships as the adsagent Claude plugin (skills + .mcp.json MCP URLs). The GitHub repository name stays adsagent-ai-skills.

Claude Code (recommended)

claude plugin marketplace add adsagents/adsagent-ai-skills
claude plugin install adsagent@adsagent

Update an existing user-scope install:

claude plugin update --scope user adsagent@adsagent

If claude plugin list shows duplicate local and user installs, keep user scope:

claude plugin uninstall --scope local adsagent@adsagent

Start a fresh Claude Code session after installing or updating.

Cloud / Cowork preinstall (settings snippet)

{
  "extraKnownMarketplaces": {
    "adsagent": {
      "source": {
        "source": "github",
        "repo": "adsagents/adsagent-ai-skills"
      }
    }
  },
  "enabledPlugins": ["adsagent@adsagent"]
}

After install, authenticate each MCP server shown in /mcp (Meta, Google, TikTok). Do not add headers.Authorization to .mcp.json; OAuth must remain the auth path.

Migrating from legacy plugin slugs

Older installs used adsagent-ai-skills@adsagent-ai-skills or adsagent-meta-ai-skills@adsagent-meta-ai-skills. The marketplace declares a rename to adsagent@adsagent. After migrating, remove legacy duplicates:

claude plugin uninstall --scope user adsagent-ai-skills@adsagent-ai-skills
claude plugin uninstall --scope user adsagent-meta-ai-skills@adsagent-meta-ai-skills

Codex CLI

codex plugin marketplace add adsagents/adsagent-ai-skills
codex plugin add adsagent@adsagent

Refresh:

codex plugin marketplace upgrade adsagent

Start a fresh Codex session after installing or upgrading.

Git fallback and other Agent-Skills-compatible clients

The skills in skills/ use the standard Agent Skills layout (skills/<name>/SKILL.md with YAML frontmatter). Clients that only consume skills (without the plugin MCP bundle) can clone manually:

git clone https://github.com/adsagents/adsagent-ai-skills.git ~/.codex/skills/adsagent-ai-skills

Those clients still need a separate MCP connection (dashboard install prompt or Connectors Directory). The plugin path is the one-step skills + MCP bundle.

Then open AdsAgent only if you need dashboard OAuth/token setup for non-plugin clients:

Settings -> MCP Access -> Copy install prompt

Paste the copied prompt into a fresh chat when the plugin bundle is not used. The prompt provides hosted HTTP MCP URLs for:

Meta default: https://adsagent.md/mcp/v2
Meta legacy fallback: https://adsagent.md/mcp
Google Ads: https://google.adsagent.md/mcp
TikTok: https://tiktok.adsagent.md/mcp

Important Runtime Rules

• Hosted HTTP MCP only for ads work.
• Use https://adsagent.md/mcp/v2 for new Meta connections; /mcp is the legacy fallback.
• Do not run or relay the hosted AdsAgent ads MCP locally. The optional skill_pack_mcp image is a docs-only reader of this repository; it is not an ads backend.
• Do not use a local relay unless the AdsAgent dashboard explicitly says to.
• Cache connection setup where the client supports it.
• Keep per-token MCP concurrency bounded.
• Respect Retry-After.
• Parse Retry-After from the HTTP header, top-level data, or JSON-RPC error.data.
• Honor mcp_concurrency_limited with wait plus jitter.
• Honor mcp_fanout_detected by switching to the platform batch overview tool instead of retrying the blocked single-scope request.
• When agent_method_profile.profile_id=adsagent_agent_methods_v1 and its consistent read is present in the client-local catalog, use one insights_query_consistent request with scope or ordered scopes for all three platforms.
• Without that profile, or when its advertised read is missing only from the client-local catalog, use the profile's named native fallback or the documented server-side tools: Meta/TikTok insights_query_batch_overview, Google google_ads_insights_overview_batch. Do not report a server registration failure from a local selector miss.
• Query aggregated data first and never infer cross-platform capability parity from a shared tool name.
• Report server-computed totals from the response; do not sum currently visible rows.
• Trust totals only when meta.complete=true; missing scopes are unknown, never zero.
• Poll queued tasks to terminal=true and return the artifact link instead of raw CSV.
• Poll queued work directly with tasks_get_status(task_ref=...) when the server advertises direct task refs.
• QuickCreate confirm tokens are single-use and expire after 15 minutes. Check expires_at; after confirm_token_invalid, prepare again, show the new summary, and obtain fresh explicit approval.
• Poll Meta creation tasks with tasks_get_status(task_ref=..., response_mode=compact). On no_create_permission, direct the user to /dashboard/assets/fb-users; never change customer permissions or replay the failed creation automatically.
• Avoid raw-row reads in normal user conversations.
• Use Markdown tables for numbers.
• Confirm before ad creation or modification.
• Use grouped_plan for multiple distinct source Ads; never emulate it through a client-side series of copy mutations.
• Stop on operator-review errors.
• When an error includes support_ref, preserve and show it verbatim for support. It is not authorization; never invent, modify, enumerate, or replace it with tokens, request bodies, or logs.

Links

• Official website: https://adsagent.md
• Official repository: https://github.com/adsagents/adsagent-ai-skills
• Support: support@adsagent.md
• Public onboarding path: https://adsagent.md/docs/mcp-onboarding

Glama / Docker docs MCP

The root Dockerfile builds AdsAgent Skill Pack (docs) — a stdio MCP that exposes list_skills, get_skill, get_hosted_mcp_urls, and get_pack_readme. Glama Build → Make Release scores that docs server. It does not replace https://adsagent.md/mcp/v2, https://google.adsagent.md/mcp, or https://tiktok.adsagent.md/mcp. Details: docs/glama-release.md.

License

MIT. See LICENSE.