MCP server that exposes an Italian textbook's OCR content, structured exercises, and progress tracking, enabling chatbot agents to interact with the book for language learning.
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process.env. You'll be asked to provide them before it can run.DB_PATHMCP_TRANSPORT— streamable-http MCP_API_KEY=<token> uv run python mcp_server/server.pyMCP_API_KEY— MCP_TRANSPORT=streamable-http =<token> uv run python mcp_server/server.pyPORTMISTRAL_OCR_MODELMISTRAL_MEDIUM_MODELMISTRAL_API_KEY— cp .env.example .env # put your in .env[](https://m8ven.ai/mcp/leonardpuettmann-texbook-agent-mcp-11th1m)