Frenchie

Name: Frenchie
Author: Lab94

作者：Lab94版本 0.5.0i★ –i电脑或云端

注册名称io.github.Lab94/frenchie-skill

安装

概览

作者提供的说明（英文原文）

OCR, transcription, file extraction, and image generation for AI agents via MCP.

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尚未统计★ –

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: 电脑或云端
传输方式: stdio, Streamable HTTP
分类: 设计、图片与音频
你需要填写：FRENCHIE_API_KEY, Authorization

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
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
需要你自己填写： FRENCHIE_API_KEY, FRENCHIE_DEFAULT_LANGUAGE, Authorization, X-Frenchie-Default-Language

标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。

你需要

在云端运行无需安装任何东西，通过互联网连接
npm已安装 Node.js（用于 npx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

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 …”。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "frenchie-skill": {
      "command": "npx",
      "args": [
        "-y",
        "@lab94/frenchie"
      ],
      "env": {
        "FRENCHIE_API_KEY": "your-value",
        "FRENCHIE_DEFAULT_LANGUAGE": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http frenchie-skill https://mcp.getfrenchie.dev --header 'Authorization: your-value' --header 'X-Frenchie-Default-Language: your-value'

或者在你的电脑上运行

claude mcp add frenchie-skill --env FRENCHIE_API_KEY=your-value --env FRENCHIE_DEFAULT_LANGUAGE=your-value -- npx -y @lab94/frenchie

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "frenchie-skill": {
      "url": "https://mcp.getfrenchie.dev",
      "headers": {
        "Authorization": "your-value",
        "X-Frenchie-Default-Language": "your-value"
      }
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "frenchie-skill": {
      "command": "npx",
      "args": [
        "-y",
        "@lab94/frenchie"
      ],
      "env": {
        "FRENCHIE_API_KEY": "your-value",
        "FRENCHIE_DEFAULT_LANGUAGE": "your-value"
      }
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "frenchie-skill": {
      "type": "http",
      "url": "https://mcp.getfrenchie.dev",
      "headers": {
        "Authorization": "your-value",
        "X-Frenchie-Default-Language": "your-value"
      }
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "frenchie-skill": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@lab94/frenchie"
      ],
      "env": {
        "FRENCHIE_API_KEY": "your-value",
        "FRENCHIE_DEFAULT_LANGUAGE": "your-value"
      }
    }
  }
}

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。

这个地址需要在请求的 header 中放入密钥，而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

FRENCHIE_API_KEY 机密必填 env
Your Frenchie API key (starts with fr_). Create one at https://getfrenchie.dev/dashboard/api-keys — first signup comes with 100 free credits.
FRENCHIE_DEFAULT_LANGUAGE env
Optional ISO 639-1 language hint (e.g. 'th', 'en', 'ja') applied to transcribe_to_markdown when the tool input does not specify a language. Tool-level language always wins.
Authorization 机密必填 HTTP header
Bearer fr_... — your Frenchie API key
X-Frenchie-Default-Language HTTP header
Optional ISO 639-1 language hint (e.g. 'th', 'en', 'ja') applied to transcribe_to_markdown when the tool input does not specify a language. Tool-level language always wins.

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

我们还没有读取这个服务器的工具列表；我们会轮流检查各个端点。

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7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 Lab94 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
… 尚未检查
端点有响应
尚未检查；我们会轮流检查各个端点
… 尚未检查
使用 OAuth 登录
尚未检查；我们会轮流检查各个端点
… 尚未检查
工具描述中没有隐藏指令
尚未检查；我们会在检查端点时读取工具列表

与“设计、图片与音频”中的其他服务器比较i

星标数多于此分类中其他 2202 个服务器的 0%
发布到注册中心的时间比此分类中其他 2202 个服务器的 7% 更新
基础检查结果等于或优于此分类中其他 2202 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

Frenchie 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？

你需要填写：FRENCHIE_API_KEY, Authorization

它在我的电脑上运行还是在云端？

两种方式都可以：安装在你的电脑上，或者连接云端版本。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（0.5.0）于6个月前进入注册中心。

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。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Figma Context MCP, Claude Real Video, Figma MCP Server

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：★ 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

Figma Context MCP

作者：GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新

安装

Claude Real Video

作者：HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新

安装

Figma MCP Server

作者：figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新

安装

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。

@lab94/frenchie

Frenchie — your agent's best friend.

Install Frenchie in your coding agent with one command. Frenchie Kit gives agents file and multimodal capabilities: read PDFs and images, transcribe audio and video, extract Office/CSV files to Markdown, and generate images from text prompts. Frenchie Method gives teams a structured workflow from requirement to release.

Upgrading from 0.1.x or 0.2.x? See MIGRATION.md for the breaking changes in 0.3.0 (stdio metadata-only responses, absolute-path MCP configs, new mcp --help / --selftest flags).

This package ships:

Frenchie Kit (/ocr, /transcribe, /extract, /generate-image, /frenchie-status commands + HTTP/stdio MCP guidance)
Frenchie Method (/frenchie-method, /requirement, /qa-analysis, /implement, /run-test, /pr-review, /release-check, and related workflow commands)
The Frenchie stdio MCP server (lab94-frenchie mcp) bundled for npx
An installer that wires skills and MCP config into your agent

Quick start

1. Install the skills

From the root of your project:

npx @lab94/frenchie install

This installs Frenchie Kit and Frenchie Method skills. Method is text-only and works without an API key.

Optional Method config:

npx @lab94/frenchie install --init-method

This creates .frenchie/method.config.json and .frenchie/.gitignore; it does not edit your root .gitignore.

2. Log in for Kit MCP tools when you need file or image capabilities

Create an account at getfrenchie.dev. You get 100 free credits on your first signup, once per email. No card required.

Then connect your local agent:

npx @lab94/frenchie login

The login command opens a browser device-code flow, then writes FRENCHIE_API_KEY into the MCP config the installer created. The full key is never printed.

Fallback if you already have a key from the dashboard:

npx @lab94/frenchie install --api-key fr_your_key_here

To target a specific agent:

npx @lab94/frenchie login --agent claude

npx @lab94/frenchie login --agent cursor npx @lab94/frenchie login --agent codex npx @lab94/frenchie login --agent vscode npx @lab94/frenchie login --agent gemini

User-level installs (Antigravity, Windsurf, Zed, Claude Desktop) need the --global flag — auto-detect never writes under $HOME:

npx @lab94/frenchie login --agent antigravity   --global

npx @lab94/frenchie login --agent windsurf --global npx @lab94/frenchie login --agent zed --global npx @lab94/frenchie login --agent claude-desktop --global

Fallback with an existing key:

npx @lab94/frenchie install --agent claude        --api-key fr_…

npx @lab94/frenchie install --agent codex --api-key fr_… npx @lab94/frenchie install --agent antigravity --global --api-key fr_… npx @lab94/frenchie install --agent claude-desktop --global --api-key fr_…

After login, your agent can call ocr_to_markdown, transcribe_to_markdown, extract_to_markdown, or generate_image. OCR/transcription/extraction results are saved to .frenchie/ /result.md automatically; generated images are saved to .frenchie/ /generated. .

Upgrading later

When a new Frenchie version ships, the pinned package spec inside each MCP config (@lab94/frenchie@0.5.0) needs to point at the new version so npx stops serving a cached older bundle. Two upgrade commands cover everything:

# Project-scoped configs in this directory (.mcp.json, .cursor/mcp.json, .codex/config.toml, etc.)

npx @lab94/frenchie@latest install

Every $HOME config that already has a frenchie entry — Antigravity, Claude Desktop, Windsurf, Zed,

and any global Claude Code / Cursor / Codex / Gemini configs you set up. cwd doesn't matter.

npx @lab94/frenchie@latest install --global

install --global is upgrade-mode: it only rewrites frenchie entries that already exist. It will not surprise-install anything new under $HOME. First-time global installs still go through install --agent --global.

3. Restart your agent

The installer prints the restart hint for your agent. After that, ask:

OCR ./report.pdf with Frenchie

…and Frenchie takes it from there.

For workflow orchestration, ask:

/frenchie-method

/frenchie remains the Kit entrypoint in agents that use a single Frenchie command. It is not an alias for Method.

Hosted agents (Lovable, Manus, Claude.ai, ChatGPT.com, Le Chat)

These agents can't run local npm binaries. Use the hosted MCP endpoint instead:

URL:    https://mcp.getfrenchie.dev

Header: Authorization: Bearer fr_your_key_here

The same @lab94/frenchie skill files work in HTTP mode — install them once with install --agent and the included SKILL.md will tell the agent to upload files via upload_file before calling OCR/transcription/extraction. Image generation does not need an upload step in HTTP mode; it returns a short-lived imageUrl that the agent should download for the user.

What you get

Frenchie Kit

Command	What it does
`/ocr`	Parse a PDF or image into Markdown
`/transcribe`	Parse audio or video into a Markdown transcript
`/extract`	Parse DOCX, XLSX, CSV, TSV, or PPTX into Markdown
`/generate-image`	Generate a single image from a text prompt
`/frenchie-status`	Check credits and recent jobs

Under the hood, Frenchie exposes these MCP tools:

ocr_to_markdown
transcribe_to_markdown
extract_to_markdown
generate_image
get_job_result
upload_file (HTTP mode only)
fetch_result_file (HTTP mode only)

Frenchie Method

Slash notation is the canonical Method command name. Claude Code reads command files directly. Codex Desktop gets the same entries through wrapper skills such as requirement and qa-analysis; restart Codex after install before trying /requirement. Hosts without slash support can use natural language such as Frenchie Method requirement ....

Command	What it does
`/frenchie-method`	Route a task through Method from requirement to release
`/method-check`	Validate Method config, artifacts, gates, and next action
`/requirement`	Turn a request into scoped requirements
`/qa-analysis` / `/test-case`	Design proof before implementation planning
`/sa-analysis` / `/implementation-plan`	Analyze architecture and implementation approach
`/implement`	Execute from Method artifacts using the current agent
`/run-test`	Run repo-declared verification and write a test report
`/pr-review` / `/review-pr`	Review the result, tests, security, and artifact drift
`/release-check`	Read-only release readiness gate

Method stores optional workflow artifacts under .frenchie/docs/feature/. install --init-method also writes a visible skillTriggers skeleton in .frenchie/method.config.json; command keys are empty slots teams can fill with installed agent skills, for example "requirement": ["brainstorming"]. Teams decide whether to commit or ignore Method config and artifacts.

Invocation — how to call Frenchie in each agent

Every agent handles MCP a little differently. /ocr is a Claude Code-only slash command; Method slash commands are host-dependent and use Codex wrapper skills outside Claude Code. Other agents use natural language, @-mention, or a server-name slash command. All facts below are dogfood-verified.

Agent	Invoke	Full guide
Claude Code	`/ocr TOR.pdf`	docs
Cursor	`Use Frenchie to OCR TOR.pdf`	docs
Codex (Desktop / CLI / IDE)	Kit: `/frenchie TOR.pdf` · `@frenchie ocr TOR.pdf`; Method: `/requirement` after restart, or `Frenchie Method requirement ...`	docs
Antigravity	`/frenchie TOR.pdf` (invokes by server name)	docs
VS Code Copilot	`/frenchie TOR.pdf`	docs
Claude Desktop	`Use Frenchie to OCR TOR.pdf`	docs
Windsurf	`OCR TOR.pdf via Frenchie`	docs
Gemini CLI	`OCR TOR.pdf with Frenchie`	docs
Zed	`OCR TOR.pdf via Frenchie`	docs

Something not working? See the symptom-first troubleshooting guide — every error we've hit in dogfood has a canonical entry.

Pricing

Simple numbers. No subscriptions.

File extraction pricing: DOCX 0.5 credits per page, XLSX 0.5 credits per sheet, CSV/TSV 0.5 credits per file, PPTX 1 credit per slide.

Action	Cost
OCR	1 credit per page
Transcription	2 credits per minute
DOCX extraction	0.5 credits per page
XLSX extraction	0.5 credits per sheet
CSV/TSV extraction	0.5 credits per file
PPTX extraction	1 credit per slide
Image generation	20 credits per image

$1 = 100 credits. Credits don't expire.

Privacy

Files are processed and deleted. Results expire about 30 minutes after first delivery. If you need a durable copy, save the Markdown when it comes back.

Supported formats

OCR: PDF, PNG, JPG, JPEG, WebP

Transcription: MP3, M4A, WAV, MP4, MOV, WebM

File extraction: DOCX, XLSX, CSV, TSV, PPTX

Image generation: PNG, JPEG, WebP output from text prompts

Need help?

Docs
Dashboard
LAB94
support@getfrenchie.dev

Frenchie

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

或者在你的电脑上运行

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“设计、图片与音频”中的其他服务器比较i

常见问题

替代选择

Figma Context MCP

Claude Real Video

Figma MCP Server

作者的 README

@lab94/frenchie

Quick start

1. Install the skills

2. Log in for Kit MCP tools when you need file or image capabilities

Upgrading later

Every $HOME config that already has a frenchie entry — Antigravity, Claude Desktop, Windsurf, Zed,

and any global Claude Code / Cursor / Codex / Gemini configs you set up. cwd doesn't matter.

3. Restart your agent

Hosted agents (Lovable, Manus, Claude.ai, ChatGPT.com, Le Chat)

What you get

Frenchie Kit

Frenchie Method

Invocation — how to call Frenchie in each agent

Pricing

Privacy

Supported formats

Need help?