Mistral OCR MCP Server
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- AlicenseAqualityDmaintenanceConverts PDF files from local storage or URLs to structured Markdown format using Mistral AI's OCR API, preserving document structure and extracting images.21MIT
- AlicenseNot gradedqualityAmaintenanceConverts documents and images to Markdown using Mistral AI's OCR, enabling AI-powered document processing via MCP-compatible clients like Claude Desktop.45 npm2MIT
- FlicenseAqualityDmaintenanceExtracts text content from PDFs and images using Mistral's OCR API, enabling OCR capabilities in MCP-compatible clients like Cursor and Claude Desktop.18-
- FlicenseNot gradedqualityCmaintenanceEnables OCR of scanned PDFs and images, returning searchable PDFs, Markdown, and JSON with block coordinates, with optional proofreading to correct OCR errors. Supports uploads via web console, public URL, or one-time token, and exposes tools for job status, page text, document listing, and deletion.-
TDQS
Scored across 8 tools
Most tools have distinct purposes: health_check, list_pages, and API key management are clearly separate. The four OCR tools form two pairs (from_file vs from_url, and return string vs save to file), which are distinguishable by source and output, but could cause confusion if an agent overlooks the output difference.
Naming uses a mix of patterns: 'ocr_from_file' vs 'ocr_to_markdown_file' use different prepositions for source vs destination, while 'set_api_key' and 'set_api_keys' are consistent. Overall, the names are readable but not perfectly consistent.
8 tools cover the essential functions: health check, file listing, two OCR sources, two output options, and API key management. This is well-scoped for an OCR server without being excessive.
The tool set covers all core OCR operations (from file and URL, output as string or file) plus configuration and key management. Minor gaps exist, such as no direct model selection or cache clearing, but the main workflow is complete.