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ICICI Direct MCP Server

@nicodishanthj

代码仓库

基本信息

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其他

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stdio

作者

nicodishanthj

关于 ICICI Direct MCP Server

learning

#icici-direct#mcp-server#api-access

ICICI Direct MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "icici-direct-mcp-server": {
      "type": "http",
      "url": "http://localhost:8080"
    }
  }
}

ICICI Direct MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

What is ICICI Direct MCP Server?

It is an HTTP-wrapped MCP server that provides access to the ICICI Direct Breeze API. It exposes tools via HTTP endpoints, enabling programmatic interaction with ICICI Direct trading and data services.

How to use ICICI Direct MCP Server?

Set the ICICI_API_KEY environment variable to your API key, install dependencies with pip install -r requirements.txt, then run python server.py. The server listens on http://localhost:8080 and exposes three HTTP endpoints for tool discovery and invocation.

Key features of ICICI Direct MCP Server

  • HTTP-wrapped MCP server for ICICI Direct Breeze API
  • Simple GET /info endpoint to list available tools
  • POST /tools/call and direct per-tool endpoints for invocation
  • Docker support for containerized deployment
  • Cloud Run deployment configuration provided

Use cases of ICICI Direct MCP Server

  • Accessing ICICI Direct trading and portfolio data programmatically
  • Integrating ICICI Direct’s Breeze API into MCP‑compatible applications
  • Automating trading operations via HTTP-based tool calls
  • Running as a containerized service in cloud environments

常见问题

1

What API key is required?

The server requires the `ICICI_API_KEY` environment variable set to your ICICI Direct API key.

2

How do I run the server?

Install dependencies, set the API key, and run `python server.py`. The server starts on port 8080.

3

Can I deploy it using Docker?

Yes. Build and run with `docker build` and `docker run`, passing the API key as an environment variable.

4

Is cloud deployment supported?

Yes. The README includes commands for deploying to Google Cloud Run using `gcloud`.

5

What endpoints are available?

`GET /info` for tool metadata, `POST /tools/call` for generic tool calls, and `POST /tools/{tool_name}` for direct invocation of a specific tool.

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