SEO Tools
5 pay-per-call SEO tools over MCP. Free discovery, tool calls settle in USDC on Base via x402.
사용해야 할까요
품질 및 안전성
발견 사항 (6)
- LOWai-answer-change-alert에서
- LOWai-crawler-access-checker에서
- LOWai-overview-tracker에서
- LOWllm-brand-visibility에서
- LOWllms-txt-auditor에서
- LOWsocial-preview-checker에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"seo-tools": {
"url": "https://api.timzinin.com/mcp/seo-tools"
}
}
}원격 엔드포인트
https://api.timzinin.com/mcp/seo-toolsstreamable-http할 수 있는 일
도구 목록
도구 (7)
🟢pricing_info
Free — list every paid tool in the 'seo-tools' bundle with its price, payTo address and network. Call this first if you don't have a wallet ready yet.
입력 스키마
{
"type": "object",
"properties": {}
}🟡ai-answer-change-alert(queries, models, lang, openrouterApiKey, maxConcurrency)
Ask an LLM the queries that matter to you, compare each answer against its stored baseline and get told what changed — the answer itself and which domains it now cites or stopped citing. One row per query x model. — $0.10/call, x402 (USDC on base).
입력 스키마
{
"type": "object",
"properties": {
"queries": {
"title": "Queries",
"type": "array",
"description": "The prompts a real user would ask (e.g. `best crm for small business`). Each query is run against every model in `models` below and compared against the previous run's stored answer for the same query × model × language — you are charged per query × model pair, not per query, whether or not the answer changed.",
"maxItems": 20,
"editor": "stringList",
"prefill": [
"best crm for small business"
]
},
"models": {
"title": "Models",
"type": "array",
"description": "OpenRouter model IDs to check. Grounded options: `perplexity/sonar`, `openai/gpt-4o-mini:online`, `google/gemini-2.0-flash-001:online`. Every model you add multiplies the number of billed rows: rows = number of queries × number of models. With the limits on both fields, the maximum possible is 20 queries × 3 models = 60 rows.",
"maxItems": 3,
"editor": "stringList",
"prefill": [
"perplexity/sonar"
]
},
"lang": {
"title": "Language",
"type": "string",
"description": "Answer language (e.g. en, ru, tr).",
"editor": "textfield",
"default": "en"
},
"openrouterApiKey": {
"title": "OpenRouter API key",
"type": "string",
"description": "Your OpenRouter API key (https://openrouter.ai/keys). Optional: without it the built-in key is used and the LLM cost is covered by the per-row price. Pass your own key to have tokens billed to your account instead, at cost.",
"editor": "textfield",
"isSecret": true
},
"maxConcurrency": {
"title": "Max concurrency",
"type": "integer",
"description": "Parallel LLM calls (kept low to respect rate limits and to bound how many LLM calls can be wasted — uncharged — if a run's spend limit is hit mid-run).",
"default": 1,
"minimum": 1,
"maximum": 3
}
},
"required": [
"queries"
],
"title": "AI Answer Change Alert input",
"schemaVersion": 1
}🟢ai-crawler-access-checker(websites, maxConcurrency)
Check which AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended & more) can access your website. Bulk audit of robots.txt rules, llms.txt presence and sitemap for AI search visibility (GEO/AEO). — $0.01/call, x402 (USDC on base).
입력 스키마
{
"type": "object",
"properties": {
"websites": {
"title": "Websites",
"type": "array",
"description": "List of website URLs or domains to audit (e.g. `example.com` or `https://example.com`).",
"maxItems": 100,
"editor": "stringList",
"prefill": [
"https://example.com",
"https://openai.com",
"https://anthropic.com"
]
},
"maxConcurrency": {
"title": "Max concurrency",
"type": "integer",
"description": "How many websites to check in parallel.",
"default": 10,
"minimum": 1,
"maximum": 50
}
},
"required": [
"websites"
],
"title": "AI Crawler Access Checker input",
"schemaVersion": 1
}🟢ai-overview-tracker(queries, models, lang, openrouterApiKey, maxConcurrency)
For each query that matters, see which sources and domains AI assistants cite in their answer — grounded via Perplexity Sonar, GPT or Gemini through your own OpenRouter key. GEO citation tracking: the backlink profile of the AI-answer era. — $0.10/call, x402 (USDC on base).
입력 스키마
{
"type": "object",
"properties": {
"queries": {
"title": "Queries",
"type": "array",
"description": "The prompts a real user would ask (e.g. `best project management software`, `how to choose a CRM`). Each query is run against EVERY model in `models` below, and you are charged per query × model pair, not per query — e.g. 10 queries × 2 models = 20 billed rows. With the limits on both fields, the maximum possible is 20 queries × 5 models = 100 rows.",
"maxItems": 20,
"editor": "stringList",
"prefill": [
"best project management software",
"what is the capital of France"
]
},
"models": {
"title": "Models",
"type": "array",
"description": "OpenRouter model IDs to test. Grounded options: `perplexity/sonar`, `openai/gpt-4o-mini:online`, `google/gemini-2.0-flash-001:online`. Every model you add here multiplies the number of billed rows: rows = number of queries × number of models (see `queries`).",
"maxItems": 5,
"editor": "stringList",
"prefill": [
"perplexity/sonar"
]
},
"lang": {
"title": "Language",
"type": "string",
"description": "Answer language (e.g. en, ru, tr).",
"editor": "textfield",
"default": "en"
},
"openrouterApiKey": {
"title": "OpenRouter API key",
"type": "string",
"description": "Your OpenRouter API key (https://openrouter.ai/keys). LLM token cost is billed to YOUR account; this Actor only orchestrates and scores. Optional to start the Actor: without it the run finishes cleanly and explains setup, and nothing is charged beyond the Actor start.",
"editor": "textfield",
"isSecret": true
},
"maxConcurrency": {
"title": "Max concurrency",
"type": "integer",
"description": "Parallel LLM calls (kept low to respect rate limits).",
"default": 3,
"minimum": 1,
"maximum": 10
}
},
"required": [
"queries"
],
"title": "AI Overview Citation Tracker input",
"schemaVersion": 1
}🟢llm-brand-visibility(brand, queries, models, lang, openrouterApiKey, ...)
For each query that matters, check whether AI assistants recommend YOUR brand — and which competitors they cite instead. Grounded answers from Perplexity Sonar, GPT and Gemini via your own OpenRouter key. This is GEO: the SEO of the AI era. — $0.10/call, x402 (USDC on base).
입력 스키마
{
"type": "object",
"properties": {
"brand": {
"title": "Brand / product name",
"type": "string",
"description": "The brand, product or company you want to track in AI answers.",
"editor": "textfield",
"prefill": "Notion"
},
"queries": {
"title": "Queries",
"type": "array",
"description": "The prompts a real user would ask (e.g. `best note-taking app`, `Notion alternatives`). Each query is run against EVERY model in `models` below, and you are charged per query × model pair, not per query — e.g. 10 queries × 2 models = 20 billed rows. With the limits on both fields, the maximum possible is 20 queries × 5 models = 100 rows.",
"maxItems": 20,
"editor": "stringList",
"prefill": [
"best note-taking app",
"best project management tool for startups"
]
},
"models": {
"title": "Models",
"type": "array",
"description": "OpenRouter model IDs to test. Grounded options: `perplexity/sonar`, `openai/gpt-4o-mini:online`, `google/gemini-2.0-flash-001:online`. Every model you add here multiplies the number of billed rows: rows = number of queries × number of models (see `queries`).",
"maxItems": 5,
"editor": "stringList",
"prefill": [
"perplexity/sonar"
]
},
"lang": {
"title": "Language",
"type": "string",
"description": "Answer language (e.g. en, ru, tr).",
"editor": "textfield",
"default": "en"
},
"openrouterApiKey": {
"title": "OpenRouter API key",
"type": "string",
"description": "Your OpenRouter API key (https://openrouter.ai/keys). LLM token cost is billed to YOUR account; this Actor only orchestrates and scores. Optional to start the Actor: without it the run finishes cleanly and explains setup, and nothing is charged beyond the Actor start.",
"editor": "textfield",
"isSecret": true
},
"maxConcurrency": {
"title": "Max concurrency",
"type": "integer",
"description": "Parallel LLM calls (kept low to respect rate limits).",
"default": 3,
"minimum": 1,
"maximum": 10
}
},
"required": [
"brand",
"queries"
],
"title": "LLM Brand Visibility input",
"schemaVersion": 1
}🟢llms-txt-auditor(items, maxConcurrency)
Give it a domain. It checks whether the site publishes a valid llms.txt / llms-full.txt (the emerging AI-crawler-friendly-docs convention) and whether robots.txt blocks GPTBot, ClaudeBot, Google-Extended, PerplexityBot and 5 other AI crawlers. llms.txt-first, no browser, no LLM, no API key. — $0.01/call, x402 (USDC on base).
입력 스키마
{
"type": "object",
"properties": {
"items": {
"title": "Domains",
"type": "array",
"description": "List of domains to audit for llms.txt presence and AI-crawler robots.txt policy.",
"maxItems": 100,
"editor": "stringList",
"prefill": [
"vercel.com",
"nytimes.com"
]
},
"maxConcurrency": {
"title": "Max concurrency",
"type": "integer",
"description": "How many domains to audit in parallel.",
"default": 10,
"minimum": 1,
"maximum": 50
}
},
"required": [
"items"
],
"title": "llms.txt Auditor input",
"schemaVersion": 1
}🟢social-preview-checker(urls, maxConcurrency)
See exactly how your links look when shared on Telegram, WhatsApp, X, LinkedIn, Slack, Facebook & Discord. Bulk-audit Open Graph and Twitter Card tags, validate preview images, and find what breaks your link previews. — $0.01/call, x402 (USDC on base).
입력 스키마
{
"type": "object",
"properties": {
"urls": {
"title": "URLs",
"type": "array",
"description": "List of page URLs to check (e.g. `example.com/article` or a full https URL).",
"maxItems": 100,
"editor": "stringList",
"prefill": [
"https://example.com",
"https://github.com",
"https://stripe.com"
]
},
"maxConcurrency": {
"title": "Max concurrency",
"type": "integer",
"description": "How many URLs to check in parallel.",
"default": 10,
"minimum": 1,
"maximum": 50
}
},
"required": [
"urls"
],
"title": "Social Preview Checker input",
"schemaVersion": 1
}커뮤니티
증거