Wudao Data A-Share Stock MCP Server
悟道数据 Wudao Data 是面向 OpenClaw、Hermes、Claude 和自建 AI Agent 的 A股股票数据 MCP Server,提供市场概览、K线、分时、涨停梯队、板块轮动、资金流向、龙虎榜、研报和盘后复盘等结构化数据工具。它定位为只读数据工具层,用于研究、复盘和市场观察,不执行交易下单。
README
Wudao Data A-Share Stock MCP Server
Wudao Data is an A-share stock data MCP Server for OpenClaw, Hermes, Claude, Cursor, Codex and custom AI Agents.
It provides structured, read-only tools for A-share market overview, K-line data, minute data, stock ranking, limit-up ladder, sector rotation, capital flow, Dragon Tiger List, research reports, valuation snapshots, financial summaries and post-market review workflows.
- Website: https://data.quicktiny.cn/
- GitHub Pages: https://jcdreamjc.github.io/wudao-mcp/
- Developer Console: https://stock.quicktiny.cn/developer
- MCP endpoint: https://stock.quicktiny.cn/api/mcp
- Streamable HTTP endpoint: https://stock.quicktiny.cn/api/mcp-stream
- Manifest: https://stock.quicktiny.cn/api/mcp/manifest?profile=all
- OpenClaw / Hermes guide: https://data.quicktiny.cn/openclaw-hermes-stock-data-mcp.html
Docs
- OpenClaw / Hermes A-share review workflow: docs/openclaw-hermes-a-share-review.md
Installation
Create an API key in the Developer Console:
https://stock.quicktiny.cn/developer
Then add Wudao Data as a Streamable HTTP MCP server.
{
"mcpServers": {
"wudao-stock-data": {
"type": "streamableHttp",
"url": "https://stock.quicktiny.cn/api/mcp-stream",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
If your MCP client does not support Streamable HTTP yet, use the JSON-RPC compatible endpoint:
{
"mcpServers": {
"wudao-stock-data": {
"url": "https://stock.quicktiny.cn/api/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}
For Chinese setup instructions across Cursor, Codex CLI, Claude Code, OpenClaw, Hermes and generic MCP clients, see:
https://stock.quicktiny.cn/api/mcp/setup
OpenClaw / Hermes Submission Config
Some MCP marketplaces request a wrapped config object. Use this version:
{
"type": "streamableHttp",
"config": {
"mcpServers": {
"wudao-stock-data": {
"type": "streamableHttp",
"url": "https://stock.quicktiny.cn/api/mcp-stream",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
},
"params": {}
}
}
}
}
Skill
This repository includes a market-friendly Skill guide:
skills/wudao-stock-data/SKILL.md
The Skill explains when to use Wudao Data, how to configure the MCP server, how to verify tools/list, and how agents should choose tools for A-share market review tasks.
Available Tool Areas
Wudao Data currently exposes tools across these areas:
- Market data: stock search, K-line data, minute data, stock ranking, market overview, trading calendar
- Limit-up ecosystem: limit-up ladder, limit-up filter, broken limit-up, limit-down, approaching limit-up, limit statistics, hot sectors, limit events
- Capital flow and sectors: capital flow, sector analysis, concept ranking, concept stocks, anomaly detection
- Market intelligence: smart hotlist, research reports, auction data, market briefings, Dragon Tiger List
- Fundamentals: valuation snapshot, financial summary, shareholder structure
- Workflows: market replay, stock research, limit-up review, theme research
Common Agent Tasks
Wudao Data is useful when the user asks an AI Agent to:
- Review today's A-share market after close
- Analyze limit-up ladder and short-term sentiment
- Find the strongest sectors and capital-flow themes
- Summarize Dragon Tiger List and research-report context
- Track watchlists and generate market observation notes
- Compare A-share data workflows for OpenClaw, Hermes, Claude or Cursor
Profiles
Profiles can be used to reduce the tool surface:
short_term: short-term trading and market intelligence toolsfundamental: valuation, financial summary and shareholder structuretheme_research: sector and concept researchstock_research: individual stock researchworkflows: workflow-level tools onlyall: all available tools
Example:
https://stock.quicktiny.cn/api/mcp-stream?profile=short_term
Safety Boundary
Wudao Data is a read-only data layer for AI Agent research, market review and observation workflows.
It does not execute trades, place orders, provide investment advice or promise returns.
Tags
mcp,stock,a-share,china-stock,market-data,ai-agent,openclaw,hermes,finance,research-data
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.