Frenchie
by getfrenchie.dev in AI models & inference
OCR, transcription, file extraction, and image generation for AI agents via MCP.
https://mcp.getfrenchie.dev
Last 30 days
Status and outage history ยท Atom feed
- Uptime
- 100%
- Response time
- 651 ms typical, 717 ms slowest 5%
- Last check
- 8 h ago
- Next check
- any minute now
How to call it
Add it to any MCP client that supports remote servers.
{
"mcpServers": {
"frenchie": {
"type": "http",
"url": "https://mcp.getfrenchie.dev"
}
}
}7 tools
- ocr_to_markdown
Convert PDF/image files into Markdown through Frenchie
- 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.
- 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 agen
- 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.
- get_job_result
Fetch the latest async Frenchie job result
- 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
- 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.
Security scan
- No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.
Recent checks
| When | Result | HTTP | Time |
|---|---|---|---|
| 8 h ago | Passed | 200 | 717 ms |
| 18 h ago | Passed | 200 | 624 ms |
| 27 h ago | Passed | 200 | 656 ms |
| 37 h ago | Passed | 200 | 651 ms |
| 46 h ago | Passed | 200 | 633 ms |
| 2 days ago | Passed | 200 | 716 ms |
| 3 days ago | Passed | 200 | 736 ms |
| 3 days ago | Passed | 200 | 650 ms |