iflow-mcp_lemopian-mistral-ocr

# Mistral OCR MCP Server A Model Context Protocol (MCP) server that provides OCR (Optical Character Recognition) functionality using Mistral's OCR API. This server allows you to extract text content from PDF files and images through MCP-compatible clients like Cursor and Claude Desktop. > 📖 **For more context and practical usage examples, read the related article:** [How I Use Mistral Document AI to Consolidate My Notes](https://medium.com/@leundeuange/how-i-use-mistral-document-ai-to-consolidate-my-notes-16416c7b7225) ## Usage example flowchart  ## Features - Extract text from PDF files and images (JPG, JPEG, PNG, TIFF, BMP) - Returns structured content with page-by-page breakdown - Integrates seamlessly with MCP clients - Built with FastMCP for optimal performance ## Prerequisites - [uv](https://docs.astral.sh/uv/) package manager - Python 3.10.1 or higher - Mistral API Key : [https://console.mistral.ai/api-keys](https://console.mistral.ai/api-keys) ## Installation 1. **Clone the repository:** ```bash git clone https://github.com/lemopian/mistral-ocr-mcp.git cd mistral-ocr-mcp ``` 2. **Install dependencies using uv:** ```bash uv sync ``` 3. **Set up environment variables:** Create a `.env` file in the project root: ```bash echo "MISTRAL_API_KEY=your_mistral_api_key_here" > .env ``` ## Configuration for MCP Clients Add the following configuration to your MCP client config file: ```json { "mcpServers": { "mistral-ocr": { "command": "/Users/yourusername/.local/bin/uv", "args": [ "--directory", "/path/to/mistral-ocr-mcp", "run", "main.py" ] } } } ``` **Important:** Replace `/path/to/mistral-ocr-mcp` with the actual path to your cloned repository. ## Usage Once configured, the server provides the following tool: ### `extract_file_content` Extracts text content from PDF files and images. **Parameters:** - `file_path…