Web Content Extract Mcp
Web Content Extract Mcp connects AI agents to real public APIs via MCP. Tools include
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
~363Token（工具定義）
~426 B典型回應大小
極小的注意力影響（128k 上下文的 0.28%）
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": {
"web_content_extract_mcp": {
"url": "https://web-content-extract-mcp.mcpize.run/mcp"
}
}
}遠端端點
https://web-content-extract-mcp.mcpize.run/mcpstreamable-http它能做什麼
工具清單
工具（5）
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢fetch_url_content(url, max_chars)
Fetch and extract clean text content from a public URL. Returns: {title, text, url, word_count}
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"title": "Url",
"type": "string"
},
"max_chars": {
"default": 5000,
"title": "Max Chars",
"type": "integer"
}
},
"required": [
"url"
],
"title": "fetch_url_contentArguments"
}🟢extract_article(url)
Extract main article content from a news/blog URL. Returns: {title, description, body, author, date}
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"title": "Url",
"type": "string"
}
},
"required": [
"url"
],
"title": "extract_articleArguments"
}🟢get_page_links(url, same_domain_only)
Extract all links from a page. Returns: {links: [href], internal_count, external_count}
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"title": "Url",
"type": "string"
},
"same_domain_only": {
"default": true,
"title": "Same Domain Only",
"type": "boolean"
}
},
"required": [
"url"
],
"title": "get_page_linksArguments"
}🟢get_page_metadata(url)
Get metadata from a page: title, description, og tags, keywords. Returns: {title, description, keywords, og_title, og_image, og_type}
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"title": "Url",
"type": "string"
}
},
"required": [
"url"
],
"title": "get_page_metadataArguments"
}🟢health_check
Server health check.
輸入結構描述
{
"type": "object",
"properties": {},
"title": "health_checkArguments"
}社群
證據
近期觀測
已驗證未記錄版本5 個工具
已驗證未記錄版本5 個工具
已驗證未記錄版本5 個工具