Nse Ticker MCP Server

A Model Context Protocol (MCP) server that provides access to National Stock Exchange (NSE) data through Upstox API.

Local serverstdioPython

What is the Nse Ticker MCP MCP server?

A Model Context Protocol (MCP) server that provides access to National Stock Exchange (NSE) data through Upstox API. The nse ticker mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.

What it actually does

  • Real-time NSE stock data access
  • Multiple time intervals support (minute, 30minute, day, week, month)
  • Error handling and data validation
  • Historical price data with customizable date ranges

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.

Configuration

  • Python 3.11 or higher - Dependencies (specified in pyproject.toml): - mcp - pandas - httpx - pydantic

When to reach for it

This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by sougatabh; worth a glance at recent repository activity before you build anything load-bearing on it.

We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the nse ticker mcp mcp server does with a few real requests.

How to install the Nse Ticker MCP MCP server

Add the following configuration:
```json
{
  "mcpServers": {
    "nse-ticker": {
      "command": "python",
      "args": [
        "--directory",
        "/ABSOLUTE/PATH/TO/nse-ticker-mcp",
        "ticker.py"
      ]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.11 or higher - Dependencies (specified in pyproject.toml): - mcp - pandas - httpx - pydantic

Frequently asked questions

It connects Nse Ticker MCP to MCP-compatible AI assistants such as Claude and Cursor. Instead of copying data back and forth by hand, the assistant works with Nse Ticker MCP directly.