adspirer-mcp

adspirer-mcp is a skill for Claude Code from amekala/ads-mcp. It costs 85 tokens per session (1,573 once invoked), scanned A, original, MIT.

A calling guide for Adspirer's MCP hub, which is a central interface for tools that work with advertising platforms. It explains how to discover the right tool, check its required inputs, select an account, and run it through the hub.

In plain words
What is it for?
Use it to find and call tools for Google, Meta, LinkedIn, TikTok, Amazon, and ChatGPT advertising. It also helps check account connections, campaign performance, conversion tracking, plan usage, and the active account.
Why use it?
It prevents failed calls caused by using hidden platform tools directly or sending values in the wrong format. It also helps track connected accounts, usage limits, and platform-specific currency rules.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the adspirer-advertising-agent plugin — 19 skills, 5 commands, 1 agent, 2 MCP servers shipped together

Good fit Use it to find and call tools for Google, Meta, LinkedIn, TikTok, Amazon, and ChatGPT advertising. It also helps check account connections, campaign performance, conversion tracking, plan usage, and the active account.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amekala/ads-mcp/adspirer-mcp
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add amekala/ads-mcp --skill adspirer-mcp
Clone the repo
git clone --depth 1 https://github.com/amekala/ads-mcp

Made for: Claude Code.

Or install adspirer-advertising-agent, the plugin that ships this one along with the rest of its 19 skills, 5 commands, 1 agent, 2 MCP servers.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for adspirer-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-mcp/github.svg)](https://agentmods.dev/skills/amekala/ads-mcp/adspirer-mcp)
Your own site
<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-mcp"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-mcp/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for adspirer-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/amekala/ads-mcp/adspirer-mcp"><img src="https://agentmods.dev/badge/skills/amekala/ads-mcp/adspirer-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,573 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00085 $0.01573
Opus 5 $0.00043 $0.00787
Sonnet 5 $0.00017 $0.00315
Haiku 4.5 $0.00009 $0.00157

Measured 4d ago against content hash 456fa3a4772d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

adspirer-mcp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/chatgpt/adspirer/skills/adspirer-mcp/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Calling the Adspirer MCP hub

Adspirer exposes 20 top-level tools. Six of them are routers that stand in front of hundreds of platform tools. Calling a platform tool by its own name does not work — it is not in the tool list. Read this before your first tool call.

The tool surface

Call these directly, by name:

Tool Use it for
start_here New or unsure user. Free.
search_tools "Which tool does X?" Semantic search over every tool.
get_tool_schema Exact parameters for a tool, before you call it.
get_connections_status Which ad accounts are connected, and their health. Free.
get_usage_status Plan, quota, usage this period. Free.
switch_primary_account Change which account is active.
get_campaign_performance Google Ads performance.
get_meta_campaign_performance Meta (Facebook/Instagram) performance.
audit_conversion_tracking Conversion-tracking health across platforms.
echo_test Connectivity check. Free.

These are routers. Never call their inner tools by name:

google_ads · meta_ads · linkedin_ads · tiktok_ads · amazon_ads · chatgpt_ads · monitoring_and_reporting · community_plugins · google_analytics · klaviyo

The router two-step

Every router takes the same three fields: action, tool_name, arguments.

Step 1 — discover. Always first. Never costs quota.

{ "action": "list_tools" }

Returns every tool on that platform with its full parameter schema.

Step 2 — execute. Use an exact tool_name from step 1.

{
  "action": "execute",
  "tool_name": "list_tiktok_campaigns",
  "arguments": { "advertiser_id": "7012345678901234567" }
}

Rules

  • action: "execute" without a tool_name is invalid. It returns an error. Do not retry the same call — go back to list_tools and read the real tool name.
  • Never pass a platform tool name as action. action is only ever "list_tools" or "execute".
  • search_tools and get_tool_schema are top-level. Call them directly when they are in your tool list. If your client does not list get_tool_schema, call it through any platform router: google_ads with action: "execute", tool_name: "get_tool_schema", arguments: {"tool_names": [...]}. It returns the same schema. Never stop because it is missing.
  • Never guess a tool name or a parameter. If you are unsure, call list_tools or get_tool_schema.

Read the full file on GitHub · 143 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago Changed · +2 lines 456fa3a4772d
  2. 12d ago First seen · 141 lines · 85 tokens per session scan A 517cf63cb754

Subscribe to this mod's changes

adspirer-mcp is a skill published in the GitHub repository amekala/ads-mcp (89 stars, last pushed 4d ago), licensed MIT. It adds 85 tokens to every session and 1,573 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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