deepq-financial-toolkit

Chinese Financial Toolkit MCP Server from Deepq

Installation

Run this command in your terminal to add the MCP server to Claude Code.

Run in terminal:

Command

claude mcp add --transport stdio shenqingtech-deepq-financial-toolkit-mcp-server node server.js \
  --env PORT="3000" \
  --env NODE_ENV="production"

How to use

DeepQ Financial Toolkit MCP Server provides a suite of AI-enabled financial data tools focused on Chinese financial markets. It exposes capabilities for stock analysis, ETF analysis, public funds, news and information, and general financial utilities. When integrated with an LLM, you can query real-time stock prices, perform technical and fundamental analyses, retrieve fund performance data, and pull market news or sentiment insights. The server is designed to respond in natural language, deliver fast results, and apply consistent business logic across tools. To use, send structured prompts to the MCP server and leverage the returned data and analyses within your AI workflows or chat-enabled assistants.

How to install

Prerequisites:

Node.js (v14 or newer) and npm/yarn installed
Internet access to fetch dependencies

Installation steps:

Clone or download the MCP server repository for DeepQ Financial Toolkit
Navigate to the project directory
Install dependencies:
- npm install
- or yarn install
Configure environment if needed (see additional_notes for common vars)
Start the MCP server:
- npm run start
- or node server.js
Verify the server is running by hitting the configured port (default 3000) and ensure the MCP handshake succeeds with your client/LLM integration

Additional notes

Notes and tips:

If your deployment requires a different runtime, modify the mcp_config accordingly (e.g., docker, uvx, etc.).
Common environment variables may include PORT, NODE_ENV, and any API keys required by data sources.
Ensure network access to data providers for real-time quotes, fund data, and news feeds.
If you encounter latency, consider enabling caching in your integration layer and verify your server’s performance/headroom.
When upgrading, review release notes for breaking changes in tool names or data schemas and update your prompts accordingly.

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