MCP server exposing NSE market data as AI tools
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# NSE MCP An MCP (Model Context Protocol) server that turns National Stock Exchange of India (NSE) data into AI tools. If you use an AI assistant on your computer (Claude Desktop, Codex, Gemini CLI, Cursor, or similar), this lets that assistant answer questions about Indian stocks in plain English — *"What's the live quote for RELIANCE?"*, *"Is the market open right now?"* — with real data instead of guesses. MCP is the standard plug that lets AI apps use extra tools: you install the server once, connect it in the app's settings, and then just ask questions. Powered by [jugaad-data](https://github.com/jugaad-py/jugaad-data). ## Quick install Install with one command. No Python or venv needed — the installer bundles its own runtime and prints the config entry to paste. **Windows:** open **PowerShell** (search for "PowerShell" in the Start menu), then run: ```powershell powershell -ExecutionPolicy ByPass -c "irm https://raw.githubusercontent.com/jugaad-py/nse-mcp/main/install.ps1 | iex" ``` **Linux / macOS:** open the **Terminal** app, then run: ```bash curl -LsSf https://raw.githubusercontent.com/jugaad-py/nse-mcp/main/install.sh | sh ``` You should see a short log ending in `nse-mcp installed.` If Windows asks for permission, click **Yes**. If something fails, copy the error text and show it to your AI assistant. Already have Python or uv? These work too (optional): ```bash pip install nse-mcp # or uv tool install nse-mcp # on-demand alternative: uvx nse-mcp ``` ## Connect your AI app Your AI app (the "MCP client") reads a small settings file at startup. Add the block below to that file, save it, then **fully quit and reopen the app**: ```json { "mcpServers": { "nse-mcp": { "command": "nse-mcp" } } } ``` This is the same block the installer prints in the terminal — paste whichever is easier. **Finding the settings file:** the folders start with a dot (macOS/Linux) or are hidden by default (Windows). Fastest way — open the folder …
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