FinanceMCP-DCTHS
基于 MCP 协议的金融数据服务器,集成 Tushare API,支持东财和同花顺数据源
Install / Use
claude mcp add guangxiangdebizi -- npx -y github:guangxiangdebizi/FinanceMCP-DCTHSIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Customer SupportSupported Platforms
Skill content
View source on GitHub{ "name": "financemcp-dcths", "version": "1.0.3", "description": "MCP Server for Chinese Stock Market Sector Analysis - Supports TongHuaShun (THS) and DongCai (DC) sector data via Tushare API", "type": "module", "bin": { "financemcp-dcths": "./build/index.js", "financemcp-dcths-http": "./build/httpServer.js" }, "files": [ "build" ], "scripts": { "build": "tsc && node -e "require('fs').chmodSync('build/index.js', '755'); try{require('fs').chmodSync('build/httpServer.js','755')}catch(e){}"", "prepare": "npm run build", "watch": "tsc --watch", "dev": "node build/httpServer.js", "start:stdio": "node build/index.js", "start:http": "node build/httpServer.js" }, "keywords": [ "mcp", "finance", "tushare", "stock", "sector", "dongcai", "tonghuashun", "eastmoney", "ths", "dc", "concept", "industry" ], "author": "Xingyu Chen guangxiangdebizi@gmail.com", "license": "Apache-2.0", "dependencies": { "@modelcontextprotocol/sdk": "0.6.0", "express": "^4.19.2", "cors": "^2.8.5", "dotenv": "^16.3.1", "axios": "^1.6.0" }, "devDependencies": { "@types/node": "^20.11.24", "@types/express": "^4.17.21", "@types/cors": "^2.8.17", "typescript": "^5.3.3" } }
Related Skills
Agent-Reach
84.5kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
73.4kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
ruflo
73.0k🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
CowAgent
47.1kOpen-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install.
Security Score
Audited on Invalid Date
