# Zerodha Kite MCP Server

> Zerodha Kite MCP Server — shankartradebot2020-pixel-kite-mcp-server. Use this tool when you need to access historical market data, technical indicators, and trading insights from a Zerodha trading account. It provides inputs such as historical candles, zone levels, and option chain data, and outputs like EMA crossover detection and CPR pivots, helping to solve problems related to market analysis and trading strategy development. Ideal for use cases involving automated trading, technical analysis, and market research, where real-time and historical data are required.

Canonical page: https://skillsregistry.net/skills/shankartradebot2020-pixel-kite-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/shankartradebot2020-pixel-kite-mcp-server

## Description

Enables Claude to access a Zerodha trading account for historical candles, weekly/monthly zone levels and CPR pivots, EMA crossover detection, and option chain data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tcvy2yq2du)
- **Repository:** <https://github.com/shankartradebot2020-pixel/kite-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shankartradebot2020-pixel-kite-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shankartradebot2020-pixel-kite-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shankartradebot2020-pixel-kite-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt