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PDF Toolkit

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time — check back soon.
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Convert PDFs/images to Word, Excel, and Markdown. Split, merge, and watermark PDF files.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for PDF Toolkit, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
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Documentation Overview

PDF 工具箱 MCP 接入说明

English

MCP OAuth PDF Tools MCP Registry - com.tensormaster/pdf pdf-mcp MCP connector – tool definition quality and endpoint health on Glama Smithery - PDF Toolkit

PDF 工具箱是一个面向 Agent 的 MCP 文件处理服务,通过 Streamable HTTP 提供 PDF/图片转 Word、Excel、Markdown、PDF 拆分合并、图片转 PDF、文字水印和异步任务查询能力。支持 OAuth 和手动 API Key 两种授权方式。

1. 快速选择

场景推荐方式
豆包正式接入OAuth
MCP Client 支持浏览器授权OAuth
MCP Client 不支持 OAuth,但支持自定义 Header手动 API Key
curl、SDK、本地调试手动 API Key

2. 固定配置

项目值
MCP 服务地址https://api.tensormaster.com/pdf/mcp
传输方式Streamable HTTP
Resourcehttps://api.tensormaster.com/pdf/mcp
OAuth 注册方式DCR(Dynamic Client Registration)
Scopemcp:tools offline_access,使用 ASCII 空格分隔
客户端认证none,Public Client + PKCE
Response Typecode
Grant Typeauthorization_code、refresh_token
PKCE必须使用 S256
Redirect URI注册时传入,后续精确匹配,不支持通配符
OAuth Discoveryhttps://miaodashi.com/.well-known/oauth-authorization-server
Authorization Endpointhttps://miaodashi.com/oauth/authorize
Token Endpointhttps://miaodashi.com/api/oauth/token
Refresh Token Endpoint留空,复用 Token Endpoint
DCR 注册地址https://miaodashi.com/api/oauth/register

3. OAuth:豆包推荐方式

在豆包中按以下步骤操作:

  1. 在远程 MCP/Connector 中填写:

    text
    https://api.tensormaster.com/pdf/mcp
    
  2. 点击“去授权”

  3. 浏览器打开 MiaoDashi 授权页面;首次使用先注册,已有账号直接登录。

  4. 核对客户端名称、PDF 工具箱和权限范围,点击“同意授权”。

  5. 页面返回豆包后,确认状态显示“授权成功”或“已连接”。

DCR、state、PKCE、授权码兑换、Access Token 和 Refresh Token 均由豆包与 MiaoDashi 自动完成,用户无需手动复制授权码或 Token。Access Token 过期后,豆包使用 Refresh Token 自动续期。

Claude 接入步骤

将以下指令发送给 Claude:

text
帮我在设置里添加一个新的 MCP 连接器,地址是 https://api.tensormaster.com/pdf/mcp。添加后提醒我确认授权页面上的权限范围,再点同意。

然后按以下步骤完成授权:

  1. 退出 Claude,再重新进入 Claude。
  2. 输入 /mcp,选择 PDF 服务并进行授权。
  3. 确认授权成功后,即可使用 PDF 工具箱。

Codex(ChatGPT)接入步骤

  1. 打开 设置 → 插件 → 添加 → 添加 MCP 服务器。

  2. 填写:

    text
    名称:pdf
    类型:流式 HTTP
    URL:https://api.tensormaster.com/pdf/mcp
    
  3. 点击“保存”。

  4. 点击“进行身份验证”,注册或登录 MiaoDashi 网站,并在授权页面确认权限后点击“同意”。

  5. 返回设置页,确认“进行身份验证”按钮消失,即表示授权成功,可以使用 PDF 工具箱。

ChatGPT 的菜单名称可能因账号、工作区权限或版本略有差异;如果看不到添加 MCP 服务器入口,请先确认已启用相应的开发者模式或自定义连接器权限。

4. 手动 API Key:兼容方式

4.1 获取 API Key

  1. 打开 MiaoDashi API Keys,登录需要承担 PDF 费用的账号。
  2. 点击“创建 API Key”,填写名称,例如 pdf-mcp-local。
  3. 选择 PDF 工具需要的最小权限,至少需要文件处理/生成权限;按需设置过期时间。
  4. 创建成功后立即复制完整 Key。完整 Key 通常只显示一次,请保存到密码管理器或 MCP Client 安全存储。

不要使用网页内部 Key、OAuth Token、Device Flow Key 或其他服务的 Key。

4.2 配置 MCP Client

MCP Gateway 已启用手动 Key 兼容入口时,使用:

config.json
{
  "mcpServers": {
    "pdf-toolkit": {
      "type": "streamableHttp",
      "url": "https://api.tensormaster.com/pdf/mcp",
      "headers": {
        "Authorization": "Bearer md_api_<your_key>"
      }
    }
  }
}

也可以直接发送:

text
Authorization: Bearer md_api_<your_key>

不要把 API Key 放到 URL、Query、日志或聊天内容中。先调用 get_pdf_toolbox_capabilities 验证连接,再提交转换任务。

5. 工具列表

工具主要参数说明
convert_file_to_wordfile_url, idempotency_keyPDF/图片转 DOCX
convert_file_to_excelfile_url, idempotency_keyPDF/图片转 XLSX
convert_file_to_markdownfile_url, idempotency_keyPDF/图片转 Markdown
split_pdffile_url, pages_per_file, idempotency_key拆分 PDF,结果通常为 ZIP
merge_pdfsfile_urls, size, idempotency_key按数组顺序合并 PDF
images_to_pdfimage_urls, scale, idempotency_key图片生成 PDF
add_pdf_watermarkfile_url, 水印参数, idempotency_key添加文字水印
get_pdf_tasktask_id查询状态、结果 URL、错误和积分
list_pdf_taskscursor, limit查询当前用户的任务列表
get_pdf_toolbox_capabilities无查询格式、数量、大小和服务限制;无副作用

参数和任务规则

  • MCP 请求使用 JSON-RPC,不接收 multipart/form-data。
  • 用户附件必须映射为临时 HTTPS URL:单文件使用 file_url,多文件使用 file_urls 或 image_urls。
  • split_pdf.pages_per_file 为 1..50;merge_pdfs 支持 2~10 个文件;images_to_pdf 支持 1~10 张图片;scale 为 (0, 1]。
  • 创建任务必须使用 idempotency_key;相同参数重试不会重复创建或扣费。
  • 任务状态:queued → running → succeeded/failed。使用 get_pdf_task 轮询,不要重复创建任务。
  • 任务只能由所属用户查询。

6. 常见错误

错误处理方式
401 / AUTH_REQUIREDOAuth 重新授权;手动模式检查 Key、过期和撤销状态
403 / INSUFFICIENT_SCOPE补充正确权限或重新授权
INVALID_INPUT按 tools/list 返回的 schema 修正参数
UNSUPPORTED_FILE_TYPE / FILE_TOO_LARGE查询 capabilities,转换格式或压缩文件
SOURCE_URL_FORBIDDEN使用可访问的 HTTPS 临时 URL,不携带凭据
INSUFFICIENT_CREDITS充值或切换有额度的账号
CONCURRENCY_LIMITED等待已有任务完成
TASK_NOT_FOUND检查 task ID;不能访问其他用户任务
UPSTREAM_UNAVAILABLE稍后使用相同 idempotency_key 重试

7. 安全要求

  • 全部 MCP、OAuth、Token 和发现地址使用 HTTPS。
  • Access Token、Refresh Token 和 API Key 只能放在 Authorization Header。
  • 不要记录完整凭据、内部 JWT、Supabase 密钥或签名下载 URL。
  • 文件 URL 必须经过 HTTPS、大小、重定向、DNS/IP 和超时校验,防止 SSRF。
  • 怀疑 API Key 泄露时,立即在 MiaoDashi API Keys 页面撤销并重新创建。

Read the full README →View source on GitHub →

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Frequently Asked Questions about PDF Toolkit

We don't have a confirmed install command for PDF Toolkit yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/tensorslab/pdf-mcp) for the current steps.

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Category🏢Workplace & Productivity
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Last updatedSep 28, 2026
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