The MCP server calls the Shahnameh API behind the scenes, so you need to keep that running first. Please refer to the repository below for more information: Shahnameh API Also, please bear in mind that the API uses a database, which can be found here: Shahnameh Dataset Create and activate the virtual environment. For example, on macOS: Then run the inspector: این ریپازیتوری تنها یک بخش کوچک از پرو
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npx mdskills install aliafsahnoudeh/shahnameh-mcp-serverProvides access to Persian literature via Shahnameh API but lacks tool descriptions and usage examples
1# How to Use23## Setup the different pieces45The MCP server calls the Shahnameh API behind the scenes, so you need to keep that running first.6Please refer to the repository below for more information:78[Shahnameh API](https://github.com/ArezooGoshtasbi/shahnameh-api)910Also, please bear in mind that the API uses a database, which can be found here:11[Shahnameh Dataset](https://github.com/aliafsahnoudeh/shahnameh-dataset)1213## How to Test the Tools1415Create and activate the virtual environment. For example, on macOS:1617```18uv venv # Create the virtual environment19```2021```22source .venv/bin/activate # Activate the virtual environment23```2425Then run the inspector:2627```28npx @modelcontextprotocol/inspector python3 main.py29```3031# هدف و مشارکت3233این ریپازیتوری تنها یک بخش کوچک از پروژه ای مستقل برای خدمت به ایران و زبان و ادبیات پارسی می باشد.34از تمامی عزیزانی که دل در گرو ایران و زنده نگهداشتن زبان پارسی در دوره هوش مصنوعی دارند با مهر و احترام دعوت به همکاری می شود.3536شاهنامه زنده است.37
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