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by wukan1986 • Finance & Markets
A Playwright-based MCP server that scrapes financial webpage tables and exposes them to LLMs via the Model Context Protocol.
Query and retrieve structured financial tables (stocks, ETFs, industries, funds) from Chinese finance websites for downstream analysis.
An MCP-compatible data provider to stream or return tabular market data to LLMs via STDIO, SSE, or streamable HTTP transports.
Browser-driven scraping (Playwright) to capture rendered tables or intercepted JSON responses when direct HTTP APIs are unavailable or unreliable.
This project uses Playwright to simulate browser interactions and capture table data from finance sites (e.g., 同花顺问财, 通达信问小达, 东方财富) and also supports several LLM web providers for chat-style scraping. It provides MCP-compatible transports (STDIO, SSE, Streamable HTTP) so agents can call it as a context provider and fall back across sources if one site is down or changed. The tool supports headless and headed browser modes, configurable endpoints and user data dirs, and is intended to make web table extraction resilient and directly usable by AI workflows.
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