RawMark
Documents to Markdown: PDF, DOCX, PPTX, XLSX, HTML. Scanned PDF pages read by AI.
我該用這個嗎
品質與安全性
B
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)
~1.1 KB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": {
"rawmark": {
"url": "https://rawmark.tech/mcp"
}
}
}遠端端點
https://rawmark.tech/mcpstreamable-http它能做什麼
工具清單
工具(2)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢convert_document(url, content_base64, filename, ai_accuracy)
Convert a PDF, DOCX, PPTX, XLSX, HTML or TXT file to Markdown. Give either `url` (a public link to the file) or `content_base64` plus `filename`. Scanned PDF pages are read by an AI vision model. `ai_accuracy` (paid plans) reads every PDF page with AI for exact tables. Each call uses one conversion.
輸入結構描述
{
"type": "object",
"properties": {
"url": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Url"
},
"content_base64": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Content Base64"
},
"filename": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Filename"
},
"ai_accuracy": {
"default": false,
"title": "Ai Accuracy",
"type": "boolean"
}
},
"title": "convert_documentArguments"
}輸出結構描述
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "convert_documentOutput"
}🟢get_usage
What the caller's RawMark plan has left: conversions for a license key, or today's free conversions.
輸入結構描述
{
"type": "object",
"properties": {},
"title": "get_usageArguments"
}輸出結構描述
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "get_usageOutput"
}社群
證據
近期觀測
已驗證未記錄版本2 個工具