trade-mcp
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@trade-mcpbuy 10 shares of SBIN"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
trade-mcp
An MCP server that lets a language model place real equity orders on a live Groww brokerage account.
MCP (Model Context Protocol) is a standard that lets an AI client discover and call tools on an external server — here, that means letting Claude buy and sell stock.
This spends real money. It ships in DRY RUN mode and stays there until you deliberately turn it off.
Install
bun install
cp .env.example .env # then fill in your credentials
bun run smoke # verify the handshake without touching the brokerageScript | Purpose |
| Run the server on stdio |
| Same, with reload on change |
| Bundle to |
|
|
| Drive the server with hand-written JSON-RPC |
Related MCP server: groww-mcp
Tools
Tool | Input | Effect |
|
| Places a MARKET BUY on NSE / CASH / CNC, DAY validity |
| same | Places a MARKET SELL, same defaults |
Only symbol and quantity are model-supplied. Exchange, segment, product, validity, and order type are server-side constants — the model cannot switch to intraday leverage, hop exchanges, or change the order type.
Both tools are annotated destructiveHint: true and openWorldHint: true so MCP clients prompt a human before invoking.
Adding a tool means writing one ToolDefinition and appending it to the array in src/tools/index.ts — server.ts iterates the registry and needs no edit. get_holdings, get_quote, and cancel_order are the obvious next ones; they map to groww.holdings.list, groww.liveData.getQuote, and groww.orders.cancel.
This server cannot be deployed
Maintenance
Related MCP Connectors
Hosted MCP server connecting claude.ai, ChatGPT and other AI apps to your own computer
MCP server for Gainium — manage trading bots, deals, and balances via AI assistants
MCP server for AI dialogue using various LLM models via AceDataCloud
MCP server for Grok Imagine AI video generation
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