mcpbeat

Frenchie MCP Server

io.github.Lab94/frenchie-skill
answering

Frenchie is answering right now. Last checked 10 min ago. 82 installs a week from npm. It exposes 7 tools. Last commit 7 May 2026.

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

Installs per day peak 37 · avg 12 · -2% w/w
a month agotoday
Uptime history 40 hours of history
40 hours agonow
100.0%
Uptime 24h
91 of 91 checks
7
Tools
read from the server
620 ms
Response time
average over 24h
82
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 10 min ago.

run in your terminal
claude mcp add frenchie-skill --transport http https://mcp.getfrenchie.dev
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "frenchie-skill": {
      "url": "https://mcp.getfrenchie.dev"
    }
  }
}
~/.codex/config.toml
[mcp_servers.frenchie-skill]
url = "https://mcp.getfrenchie.dev"
.cursor/mcp.json
{
  "mcpServers": {
    "frenchie-skill": {
      "url": "https://mcp.getfrenchie.dev"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "frenchie-skill": {
      "url": "https://mcp.getfrenchie.dev"
    }
  }
}

Available tools 7

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

extract
extract_to_markdown
Extract structured documents (.docx, .xlsx, .csv, .tsv, .pptx) into Markdown through Frenchie. stdio mode auto-saves the result to .frenchie/<name>/result.md; HTTP mode returns inline Markdown.
generate
generate_image
Generate a single image from a text prompt through Frenchie. Required: prompt. Optional: style (free-text style direction), size, quality, format, background. stdio mode auto-saves the image to .frenchie/<slug>/generated.<ext>; HTTP mode returns a presigned imageUrl that the agent should download for the user.
job
get_job_result
Fetch the latest async Frenchie job result
ocr
ocr_to_markdown
Convert PDF/image files into Markdown through Frenchie
result
fetch_result_file
Get a temporary download URL for a result file from OCR/transcription output. Use this to download images referenced as frenchie-result: in the result markdown.
transcribe
transcribe_to_markdown
Convert audio/video files into Markdown transcripts through Frenchie. Set language (ISO 639-1 code, e.g. 'th', 'en', 'ja') for better accuracy; omit for auto-detection.
upload
upload_file
Get a presigned upload URL for use with ocr_to_markdown, transcribe_to_markdown, or extract_to_markdown in HTTP mode. After calling this tool, PUT the file to upload_url (with the correct Content-Type header), then pass object_key as uploaded_file_reference to the processing tool.

Endpoints

URLTransportStateLatencyChecked
https://mcp.getfrenchie.dev streamable-http answering 748 ms 10 min ago

Frenchie — questions

Answers built from our own checks of this server.

What can Frenchie do?
It exposes 7 tools, read directly from the server on our last check. Among them: extract_to_markdown, fetch_result_file, generate_image, get_job_result, ocr_to_markdown, transcribe_to_markdown and 1 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Frenchie working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 620 ms. The bar chart above shows every period we have measured.
How do I connect Frenchie?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Frenchie need an API key?
No. Frenchie completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 7 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Frenchie?
It answers our handshake in 620 ms on average, which is faster than 15% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use Frenchie?
The npm package @lab94/frenchie was installed 82 times in the last week. Week over week that is -2%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Frenchie open source?
Yes — it is published under the MIT licence, written in TypeScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.