Promptready MCP
概览
作者提供的说明(英文原文)
Convert PDF/CSV to Markdown with AI-powered OCR via the PromptReady cloud API.
PopNx MCP 的三大支柱
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 1 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新↓ 250/周 · ★ –
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 在你的电脑上运行
- 传输方式: stdio
- 分类: 文档、表格与办公
安装
选择你使用的 AI 应用,然后复制设置。
安装之前
- 基础检查:1 项中通过 1 项
- 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
- 注册中心没有列出需要填写的密钥。
你需要
- PyPI已安装 Python 的 uv(用于 uvx 命令)
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"promptready": {
"command": "uvx",
"args": [
"promptready-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add promptready -- uvx promptready-mcp或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"promptready": {
"command": "uvx",
"args": [
"promptready-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"promptready": {
"type": "stdio",
"command": "uvx",
"args": [
"promptready-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它能做什么
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
基础检查i
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 hydrojwh 验证,该账户拥有此仓库
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- – 不适用
端点有响应
它在你的电脑上运行,没有互联网端点
- – 不适用
使用 OAuth 登录
在你的电脑上运行,改用本地设置
- … 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与“文档、表格与办公”中的其他服务器比较i
- 星标数多于此分类中其他 3660 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 3660 个服务器的 44% 更新
- 基础检查结果等于或优于此分类中其他 3660 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
常见问题
Promptready MCP 安全吗?
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
它需要哪些密钥或代码?
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在我的电脑上运行还是在云端?
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(0.4.0)于38天前进入注册中心。
哪些应用可以使用它?
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
有什么可以替代它?
同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
替代选择
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Excel MCP Server
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
MCP Server for Excel
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
PromptReady MCP
Official Model Context Protocol client for PromptReady — convert PDF/CSV to Markdown from AI agents (Grok, Claude Code, Cursor, and other MCP hosts).
Same PromptReady account and credits as the web app.
Data flow: your local PDF/CSV files are uploaded to the PromptReady cloud
(
promptready.space) for OCR processing. Converted Markdown is downloaded back
to your machine. Files are auto-deleted from the server 3 hours after your
batch finishes. No long-term storage.
Features
- Browser Google login (tokens stay on your machine)
get_credits,convert_pdf,get_status,wait_and_download,list_conversions- Durable results:
convert_pdfreturns alog_id;wait_and_download/get_statusaccept it and resolve via the database, so a server restart, a redeploy, or a second back-to-back convert can no longer orphan a finished job (results are kept 3 hours) - Slash commands for humans:
/promptready:convertand five more (below) - Saved convert defaults (engine, tables, images) — not on every call
- Factory default: PaddleOCR-VL, tables on, images off
Install
As a Claude Code plugin (recommended)
Once listed in the Claude Code plugin directory:
/plugin install promptready
As a standalone MCP server
pip install promptready-mcp
Or run it without installing:
uvx promptready-mcp
From source
git clone https://github.com/hydrojwh/promptready-mcp.git
cd promptready-mcp python3 -m venv .venv && source .venv/bin/activate pip install -e .
Login (once per machine)
promptready-mcp-login
If you installed with uvx, the login command lives in the same package:
uvx --from promptready-mcp promptready-mcp-login
Either opens Google OAuth and saves credentials to ~/.config/promptready/credentials.json (file mode 0600). That path is in your home directory, so it survives uvx cache resets. You can also log in from inside an MCP host by calling the login tool.
After you sign in, the browser returns to http://127.0.0.1:18765/callback — a local page started by the login command. No Supabase configuration is needed.
Email login fallback
If browser-based Google login is not an option, the same command accepts email and password:
promptready-mcp-login --email you@x.com
Leave out --password and you will be prompted for it instead — this keeps the password out of your shell history.
Already have an access token? Set PROMPTREADY_ACCESS_TOKEN in the environment (MCP host or shell). Environment variables take precedence over the saved credentials file.
MCP host config
Fastest: let your AI agent install it
If you are already in an MCP-capable agent, skip the JSON editing and just ask:
Install the PromptReady MCP server for me. The PyPI package is
promptready-mcp(stdio commandpromptready-mcp). Add it to your MCP
config, then I will run the
logintool.
In Claude Code the agent can use the built-in CLI:
claude mcp add promptready -- promptready-mcp
Reconnect after changing config
Hosts do not pick up MCP config changes mid-session. After changing the config, restart the host or reconnect the server — in Claude Code, open the /mcp panel and reconnect.
The /mcp panel shows server status and lists the connected servers' tools, but it does not run them: picking a tool in that list will not invoke it. Tools are invoked through normal conversation — ask the agent to convert a file and it calls convert_pdf for you. If a call fails, reconnect from the panel first.
Claude Code
claude mcp add promptready -- promptready-mcp
The default scope is local (this project only). Use --scope user to register it for all your projects, or --scope project to share the registration through a committed .mcp.json.
Cursor
Add to ~/.cursor/mcp.json (or .cursor/mcp.json for a single project):
{
"mcpServers": { "promptready": { "command": "promptready-mcp" } } }
Grok
[mcp_servers.promptready]
command = "promptready-mcp" enabled = true tool_timeout_sec = 3600
Claude Desktop / generic JSON
{
"mcpServers": { "promptready": { "command": "promptready-mcp" } } }
No access token in config files required after login.
Host cannot find promptready-mcp
GUI hosts start servers with a narrow PATH, so a console script installed by pip install --user is often invisible to them — the host reports a spawn failure or "server disconnected" rather than a missing command.
Two reliable fixes:
{ "mcpServers": { "promptready": {
"command": "uvx", "args": ["promptready-mcp"] } } }
or point at the absolute path of the script: /ABS/PATH/.venv/bin/promptready-mcp.
Tools
| Tool | Purpose |
|---|---|
login / logout | Browser auth / clear local credentials |
get_credits | Credit balance |
get_convert_settings / set_convert_settings | Saved convert defaults |
convert_pdf | Upload path → queue (optional wait) |
get_status | Status — by log_id (DB, restart-proof) or session |
wait_and_download | Wait + save .md, by log_id or session |
list_conversions | Recent conversions with log_id, status, downloadable |
Downloaded names follow the web app: {name}_PaddleOCR-VL.md (engine label).
Credits are deducted by the server when a job is queued, exactly as on the web app. convert_pdf(wait=True) can run for a long time, so give the host a high tool timeout.
Durable results with log_id (0.4.0)
convert_pdf returns log_id — the id of the conversion record in your account. Unlike the session status, it survives backend restarts and later converts:
convert_pdf(path="report.pdf") → {"log_id": "…uuid…", …}
wait_and_download(log_id="…uuid…") → saves report_PaddleOCR-VL-1.6.md list_conversions(limit=10) → past conversions + their log_ids
Results are downloadable for 3 hours after completion (HTTP 410 after that — converting again, with fresh credits, is then the only way). If a download fails for another reason, retry wait_and_download with the same log_id; never re-run convert_pdf for the same file.
Slash commands
MCP *prompts* are the human entry point: instead of describing what you want, you pick a command. Hosts that surface prompts as slash commands (Claude Code does) show them as /promptready: :
| Slash command | Purpose |
|---|---|
/promptready:login | Log in (opens the browser Google sign-in) |
/promptready:logout | Log out on this machine |
/promptready:credits | Show your credit balance |
/promptready:convert | Convert a PDF/CSV to Markdown |
/promptready:site | Show the PromptReady web app URL |
/promptready:settings | Show — and optionally change — convert defaults |
Each command expands to a short instruction; the agent then calls the matching tool (login, get_credits, convert_pdf, …) for you.
/promptready:convert optionally takes two positional arguments, input path then output directory. Pick the command from the slash menu (hosts may list it as promptready:convert (MCP)) and append the arguments:
/promptready:convert (MCP) report.pdf markdown-out
Arguments are split on whitespace and cannot be quoted, so paths with spaces do not fit on the command line — run the command bare and give the paths in chat instead. Line breaks and control characters in arguments are rejected outright (0.3.8): an argument is interpolated into the instruction the command expands to, and it must never be able to start a line of its own. With no arguments the command asks you for them. The conversion itself always goes through the convert_pdf tool: never re-run it for the same file while a download is pending — that queues a fresh conversion and spends fresh credits; the expanded command tells the agent to call wait_and_download instead.
Hosts that do not map prompts to slash commands simply ignore this section; the tools keep working as before.
Security
- Tokens are never hardcoded in this repository.
- Do not commit
~/.config/promptready/*or.env. - Only use the official package linked from https://promptready.space
- Vulnerability reports: see SECURITY.md
Network access and credentials
What this client talks to, so you can review it before installing:
- Network: HTTPS requests to the PromptReady API at
https://promptready.space(override withPROMPTREADY_BASE_URL, or the base URL saved at login — if you set one, all API traffic, credentials included, goes to that host instead). When a conversion finishes, the Markdown result may be fetched from a short-lived signed download URL that the API returns (served from PromptReady's Cloudflare R2 storage); that request carries no credentials. There is no telemetry and no other third-party host. During browser login a short-lived listener binds to127.0.0.1only, to receive the sign-in callback; your browser, not this client, talks to the sign-in provider. - Files read: the PDF/CSV paths you pass to
convert_pdf, plus this client's own config under~/.config/promptready/(credentials and convert defaults). - Files written: the Markdown results you ask to save; the credentials file
~/.config/promptready/credentials.json(mode 600; override the path withPROMPTREADY_CREDENTIALS_PATH); and your convert defaults in~/.config/promptready/settings.jsonwhen you change settings (mode 600; override withPROMPTREADY_SETTINGS_PATH). Nothing else is left on disk. - Credentials: your own PromptReady account session, created by
promptready-mcp-login(browser or email) or supplied throughPROMPTREADY_ACCESS_TOKEN/PROMPTREADY_REFRESH_TOKEN. The client sends it only to the PromptReady API, never to the signed download URL.
Service terms
Using the cloud API is subject to the Terms of Service and Privacy Policy. This MIT-licensed client does not grant free unlimited conversion. The license covers this client's source code only; use of the PromptReady cloud service (https://promptready.space) remains subject to its Terms of Service and Privacy Policy.
Smoke test (no account)
./scripts/smoke_stdio.sh
License
MIT — see LICENSE.