FTShare-Lab/FTShare-MCP
GitHubFTShare MCP tools for financial data, market data and AI Agent investment workflows｜金融数据 MCP 工具文档与接入说明。
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Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.
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Architecture from code15 modules · 0 edges▼
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%% repo — high-level architecture (DRAFT, refine me)Nearby repositories worth comparing before adoption.
同花顺官方 A股金融数据服务，提供股票实时行情、历史行情、财务报表、指数、板块、涨停等数据，适用于 AI Agent、量化研究和应用开发，支持 API、MCP、CLI 和 Python。Official Tonghuashun (HiThink) A-share financial data service providing real-time and historical stock market data, financial statements, indices, sectors and limit-up data for AI agents, quantitative research and application development.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Stash is here to solve one of the biggest headaches in AI agent development — memory. If you've ever built an AI agent, you know the struggle: every conversation starts from scratch, context gets lost, and you end up stuffing giant prompts just to keep things coherent. Stash gives your agents a persistent memory layer backed by Postgres, so they can remember episodes, facts, and working context across sessions. Plus, it ships as a single self-hosted binary with an MCP server included — no cloud, no vendor lock-in, just pure dev-friendly tooling that actually works.