RawMark
Documents to Markdown: PDF, DOCX, PPTX, XLSX, HTML. Scanned PDF pages read by AI.
我该使用它吗
质量与安全性
B
基于对工具定义和协议合规性的自动分析。
上下文开销
~363token 数（工具定义）
~1.1 KB典型响应大小
对注意力的影响极小（占 128k 上下文窗口的 0.28%）
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"rawmark": {
"url": "https://rawmark.tech/mcp"
}
}
}远程端点
https://rawmark.tech/mcpstreamable-http它能做什么
工具清单
工具（2）
🟢 只读🟡 写入🔴 删除⚪ 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.
输入模式
{
"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"
}输出模式
{
"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.
输入模式
{
"type": "object",
"properties": {},
"title": "get_usageArguments"
}输出模式
{
"type": "object",
"properties": {
"result": {
"title": "Result",
"type": "string"
}
},
"required": [
"result"
],
"title": "get_usageOutput"
}社区
证据
最近观测
已验证未记录版本2 个工具