Best for
- Stock market enthusiasts
- Developers building financial tools
- AI applications needing quick access to NSE data
This is a feature-rich unofficial NSE data MCP server with many tools. Setup is simple via npx. Suitable for quick integration into AI assistants, but be aware of unofficial status and data reliability risks.
Strongest · Setup experience 12/20 Weakest · Reliability 5/20
Static review · not runListed 2026-08-07
Read the FMRS scoring method →Runtime:Node.js 18+
NODE_ENV
Set to production in the recorded client config; specifies the runtime environment for the stdio MCP server.
npm install -g stock-nse-india.{
"mcpServers": {
"npx-stock-nse-india": {
"command": "npx",
"args": ["stock-nse-india", "mcp"],
"env": {"NODE_ENV": "production"}
}
}
}{
"mcpServers": {
"npx-stock-nse-india": {
"command": "npx",
"args": [
"stock-nse-india",
"mcp"
],
"env": {
"NODE_ENV": "production"
}
}
}
}
Shown for Claude Desktop. Other clients may use a different file or key (VS Code uses "servers") — the configurator below converts it.
{
"servers": {
"npx-stock-nse-india": {
"command": "npx",
"args": [
"stock-nse-india",
"mcp"
],
"env": {
"NODE_ENV": "production"
}
}
}
}
Goes in your project's .vscode/mcp.json (VS Code uses a "servers" key).
claude mcp add npx-stock-nse-india -e NODE_ENV=production -- npx stock-nse-india mcp
Run it in a terminal; replace any <…> placeholders with your own values first.
Configure the client with the npx config (npx stock-nse-india mcp), restart, and confirm tools such as getMarketStatus and getEquityDetails appear in the tool list; then ask "What is the current NSE market status?" to verify live data access.
Once connected, you can ask your AI assistant things like:
No matching tools
Listed from the project's documentation, not tested by this site.
stock-nse-india is an MCP server for the unofficial NSE India API, allowing AI assistants to access real-time and historical data of the National Stock Exchange of India through a standardized tool interface. It offers a wide range of tools covering equity details, historical data, intraday data, technical indicators, index information, option chains, market status, reports, and commodity data. The server communicates via stdio and can be quickly launched via npx. The project also provides REST and GraphQL APIs, but the MCP server focuses on core data access.
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Source revision e3d3e5eba815 Data synced 2026-10-12 Read the FMRS scoring method