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.
npx agentmods add skills/mcp-dir/agger-mcp/agger-mcpnpx skills add mcp-dir/agger-mcp --skill agger-mcpgit clone --depth 1 https://github.com/mcp-dir/agger-mcpWrote 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.
[](https://agentmods.dev/skills/mcp-dir/agger-mcp/agger-mcp)<a href="https://agentmods.dev/skills/mcp-dir/agger-mcp/agger-mcp"><img src="https://agentmods.dev/badge/skills/mcp-dir/agger-mcp/agger-mcp.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00106 | $0.00541 |
| Opus 5 | $0.00053 | $0.00270 |
| Sonnet 5 | $0.00021 | $0.00108 |
| Haiku 4.5 | $0.00011 | $0.00054 |
Grade A, and why
agger-mcp scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST https://api.mcp.ai/api/agger/list/accounts \ This is a copy
86% identical to sefaz_pe_nfce-mcp — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Agger — REST API skill
Você tem acesso à Agger REST API na MCP.AI.
Agger, plataforma de multicálculo e gestão para corretoras de seguros. Conecte a sua conta com o e-mail e a senha do seu login do Aggilizador para trazer a sua corretora para o assistente.
Base URL
https://api.mcp.ai/api/agger
Todo endpoint é um POST na Base URL + o path abaixo. Os parâmetros vão no corpo JSON.
Autenticação
Inclua em toda request:
Authorization: Bearer sk_live_...
Content-Type: application/json
Gere sua chave em https://app.mcp.ai/settings/api-keys (workspace API key
sk_live_…, não expira, revogável). Uma única chave serve pra todos os seus MCPs.
Formato de resposta
{ "ok": true, "tool": "<tool_id>", "result": <payload> }
Exemplo cURL
curl -X POST https://api.mcp.ai/api/agger/list/accounts \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json" \
-d '{}'
Reportar problemas
Se um endpoint retornar erro, vazio ou dado inesperado, reporte (não desista calado): POST /api/agger/report com { "message": "...", "context"?: "...", "conversation"?: [...] }. Isso notifica o time da MCP.AI.
Endpoints (1)
agger_list_accounts
Conta Agger conectada: e-mail do corretor. (POST /api/agger/list/accounts)
Este MCP também funciona via conexão MCP (Claude / Cursor) em https://api.mcp.ai/p_agger — veja o README. A skill acima é pra consumir a REST API direto (agente próprio / código).
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.
- 4d ago First seen · 59 lines · 0 tokens per session scan A cf90f20a3155
agger-mcp is a skill published in the GitHub repository mcp-dir/agger-mcp (0 stars, last pushed 5d ago), licensed MIT. It adds 106 tokens to every session and 541 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to sefaz_pe_nfce-mcp, differing in 28 lines, and is treated as a copy.
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