NseKit-MCP — NSE India Real-time & Historical Data Server

NseKit-MCP is a high-performance FastMCP (Model Context Protocol) server that exposes 100+ tools for accessing live and historical data from the National Stock Exchange of India (NSE) using the powerful NseKit Python library.

Perfect for AI agents (Claude, Grok, GPT, Gemini CLI etc.), trading bots, backtesters, and research platforms.

Features

100+ ready-to-use tools
Live & historical equity, F&O, indices, IPOs, corporate actions
Full option chains with OI, Volume, IV, PCR, Max Pain
EOD bhavcopy, delivery data, FII/DII, bulk/block deals
Built-in NSE-safe rate limiting (~3 req/sec)
Clean JSON output (Pandas → list of dicts)
Works with Claude Desktop, Cursor, Cline, Windsurf, etc. via FastMCP

Installation

Use this MCP server via uv (Python package installer)

pip install uv

Add the following configuration to your MCP server configuration file:

{
  "mcpServers": {
    "NseKit-MCP": {
      "command": "uvx",
      "args": ["nsekit-mcp@latest"]
    }
  }
}

Popular Tools

Tool	Description
`market_live_status()`	Market open/close, Nifty, Gift Nifty, Mcap
`equity_live_stock_info("RELIANCE")`	Live price + 5-level depth + delivery
`fno_live_option_chain("NIFTY","27-Jan-2026")`	Nifty/BankNifty option chain data
`equity_eod_bhavcopy_delivery("02-12-2025")`	Full day closing + delivery %
`fii_dii_activity()`	Latest FII/DII net buying/selling
`ipo_current_list()`	All live Mainboard + SME IPOs with subscription
`equity_52week_high_live()`	Stocks hitting 52-week high today

All tools return clean JSON arrays.

Tool Categories

NSE_Live • Pre_Market • Index_Live • Equity_Live
FnO_Live • Corporate_Events • IPO • Historical
Equity_EOD • FnO_EOD • Regulatory (SEBI)

Safety & Compliance

Thread-safe rate limiting (0.35s delay between NSE calls)
Respects NSE's fair usage policy
For research, personal trading, and AI agent use only

Credits

Data powered by NseKit
Server powered by FastMCP
Made with ❤️ for the Indian Quant & Algo community

Metadata

Release files for nsekit-mcp 0.0.32

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nsekit-mcp 0.0.32
File	Size	Uploaded
nsekit_mcp-0.0.32.tar.gz	15.7 kB	Sep 22, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for nsekit-mcp 0.0.32
File	Interpreter	ABI	Platform	Reset
nsekit_mcp-0.0.32-py3-none-any.whl 16.6 kB Sep 22, 2026	Python 3	none	any	Details

Total release size: 32.3 kB

Release files / nsekit_mcp-0.0.32.tar.gz

Download URL	nsekit_mcp-0.0.32.tar.gz
Size	15.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`959020eb7075eb52796650000be129bbadc4e9b4e6c2f1cd230c92eb3804f83a`
BLAKE2b-256 checksum How to use checksums	`acd18ad5ae551cfad218d2161947409b5baab115b2484ac98581bfabb1406831`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.7`

Release files / nsekit_mcp-0.0.32-py3-none-any.whl

Download URL	nsekit_mcp-0.0.32-py3-none-any.whl
Size	16.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`7c93281520b2a0416a613621bbca5e5585c04a77352f8b3adb50c49323a0208e`
BLAKE2b-256 checksum How to use checksums	`2eaf6c74e5685cf8382e94dc9c78ee5e7728801e9f2d311c68d440216fa30559`
Upload date	Sep 22, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.14.7`