llms-txt-validator
Validate a site's llms.txt against the spec: fetches every linked URL, scores it 0-100.
我該用這個嗎
品質與安全性
A
根據工具定義與協定合規性的自動化分析。
上下文成本
~247Token（工具定義）
~498 B典型回應大小
極小的注意力影響（128k 上下文的 0.19%）
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高，可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案：
{
"mcpServers": {
"llms-txt-validator": {
"url": "https://llms-txt-validator.dev/mcp"
}
}
}遠端端點
https://llms-txt-validator.dev/mcpstreamable-http它能做什麼
工具清單
工具（3）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
⚪validate_llms_txt(url)
Validate a website's llms.txt: returns a 0-100 quality score, findings, and AI-discoverability signals. Pass a domain or URL.
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"description": "Domain or URL to check, e.g. \"example.com\". A path checks that path's llms.txt (spec v2), e.g. \"example.com/docs\".",
"type": "string"
}
},
"required": [
"url"
]
}⚪validate_llms_txt_content(content)
Validate raw llms.txt text you already hold, without fetching it. Returns the same score and findings.
輸入結構描述
{
"type": "object",
"properties": {
"content": {
"description": "The full llms.txt file contents (Markdown) to validate.",
"type": "string"
}
},
"required": [
"content"
]
}⚪generate_llms_txt(url)
Scaffold a starter llms.txt for a domain from its homepage and sitemap.
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"description": "Domain to scaffold, e.g. \"example.com\".",
"type": "string"
}
},
"required": [
"url"
]
}社群
證據
近期觀測
已驗證未記錄版本3 個工具