Frenchie

Name: Frenchie
Author: Lab94

by Lab94version 0.5.0i★ –iComputer or cloud

Registry nameio.github.Lab94/frenchie-skill

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Design, images & audio
You need to fill in: FRENCHIE_API_KEY, Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: FRENCHIE_API_KEY, FRENCHIE_DEFAULT_LANGUAGE, Authorization, X-Frenchie-Default-Language

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

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

Or run it on your computer

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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

FRENCHIE_API_KEY secret required 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 secret required 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.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Lab94, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Design, images & audioi

More stars than 0% of the other 2202 servers in this category
Published to the registry more recently than 7% of the other 2202 servers in this category
Basic checks equal to or better than 100% of the other 2202 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Frenchie safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: FRENCHIE_API_KEY, Authorization

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.5.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Figma Context MCP

by GLips

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

Runs on your computer★ 16,165MITUpdated 5 months ago

Install

Claude Real Video

by HUANGCHIHHUNGLeo

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

Runs on your computer★ 2,284MITUpdated 2 months ago

Install

Figma MCP Server

by figma

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@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

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

@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?