aparser

A skill for controlling A-Parser, a tool that collects search-engine results, rankings, suggestions, and keyword data through an API. It can also manage A-Parser jobs and retrieve their results.

In plain words
What is it for?
Use it to check a website's search rankings, collect search results or keyword suggestions, run A-Parser jobs, and retrieve their status or output.
Why use it?
It lets an agent run and monitor search-data collection from A-Parser instead of handling each request and result manually. It supports searches across Google, Bing, and Yandex, including location-specific checks.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/izzipizzy/aparser-mcp/aparser
Any agent
npx skills add izzipizzy/aparser-mcp --skill aparser
Clone the repo
git clone --depth 1 https://github.com/izzipizzy/aparser-mcp

Made for: Claude Code, Codex.

Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,412 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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 $0.00087 $0.03412
Opus 5 $0.00044 $0.01706
Sonnet 5 $0.00017 $0.00682
Haiku 4.5 $0.00009 $0.00341

Measured 2d ago against content hash 1d3f93cf0791, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

aparser 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 2d 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.

Setup). **Готовые примеры запросов (ping/oneRequest), curl-шаблон и полный список методов
skills/aparser/SKILL.md · 176 lines

How it starts

The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.

aparser

Overview

Управление A-Parser (парсер SERP/подсказок/кейвордов и т.д.) из агента через MCP-сервер aparser. Сервер оборачивает HTTP API A-Parser (:9091/API) в инструменты. Полный справочник методов — api-reference.md.

When to use

  • Проверить позиции сайта в Google/Bing/Yandex по списку ключей (+ гео).
  • Собрать выдачу (ссылки/анкоры), подсказки, related, PAA.
  • Прогнать любой установленный парсер A-Parser над списком запросов.
  • Управлять задачами (очередь, статус, скачивание результатов).

Инструменты (в Claude Code — mcp__aparser__<tool>): ping, info, list_parsers, parser_info, get_proxies, one_request, add_task, task_state, wait_task, task_results.

Готовые примеры запросов: examples.md (EN) · examples.ru.md (RU) — подсказки, выдача, позиции с гео, капча (XEvil), desktop/mobile, батчи.

Setup (один раз)

MCP-сервер — пакет aparser-mcp (TypeScript, stdio, ставится через npx). Скил обращается только к твоему собственному серверу A-Parser; доступ читается из окружения, нигде не хардкодится, не логируется и не пересылается третьим сторонам. Задай в окружении AP_URL (адрес твоего A-Parser) и AP_PASSWORD (ключ API), затем зарегистрируй сервер:

claude mcp add aparser --env AP_URL="$AP_URL" --env AP_PASSWORD="$AP_PASSWORD" -- npx -y aparser-mcp

ping должен вернуть pong.

Дефолты (зашиты в MCP, переопределяемы)

add_task/one_request подставляют по умолчанию — под лимит прокси этого сервера:

  • config_preset="default" — обычный пресет (есть на любом инсталле A-Parser). На сервере включён «Динамический лимит потоков» (Настройки → Общие настройки) + «Общий лимит потоков» = лимиту прокси (~50), поэтому A-Parser сам держит сумму активных потоков ≤ лимиту и раздаёт их между заданиями по приоритету (priority/prio 1–100). Бюджет вручную бить (кастомные 50th/th17 = 3×17) больше не нужно. Переопредели через env AP_CONFIG_PRESET или аргументом. (Если динамический лимит выключат — вернись к ручному пресету под лимит прокси + «Максимум активных заданий».)
  • proxyretries=40 — подставляется в каждый парсер стека, где опция есть и её не задали (env AP_PROXYRETRIES). Это сток-дефолт A-Parser, ок для http/one_request. На браузере (engine=chrome) 40 = зависания на последнем ключе — там ставь 5-15 явно (см. «Капча, ретраи, скорость»).
  • do_log=true (doLog:"db") — логи в БД A-Parser (смотреть в UI).

Read the full file on GitHub · 176 lines

Files

What ships with it

60 files 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. 2d ago First seen · 176 lines · 87 tokens per session scan A 1d3f93cf0791

Subscribe to this mod's changes

aparser is a skill published in the GitHub repository izzipizzy/aparser-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 3,412 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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