MCP Query Table

MCP Query Table is an MCP server that extracts and queries tabular financial data from online platforms using Playwright browser automation. It connects Model Context Protocol clients directly to financial web sources, including platforms such as iwencai, tdx, and eastmoney. Financial analysts, algorithmic traders, quantitative researchers, and software engineers use this server to automate the extraction of market figures without manually navigating dynamic browser pages. By driving headless browser sessions via Playwright, the server can render JavaScript-heavy web tables, handle interactive elements, and reliably extract up-to-date market metrics. It also facilitates multi-site data collection by providing fallback switching capabilities across supported sources. This enables AI assistants to retrieve structured stock screeners, price tables, and general corporate financial statistics to assist in equity research, portfolio tracking, and competitive intelligence directly within an LLM chat interface.

Category: Browser & Web Automation

Tags: financial-data, market data, playwright, web scraping

Visit MCP Query Table

How to install and configure MCP Query Table

1. Visit the project repository at https://github.com/MCP-Mirror/wukan1986_mcp_query_table to review the current prerequisites and setup guidelines. 2. Clone the repository to your local machine and install the required dependencies, including Playwright and necessary browser binaries. 3. Locate your MCP client configuration file (such as claude_desktop_config.json for Claude Desktop). 4. Add an entry for query-table under the mcpServers object with the appropriate runtime executable and path pointing to the cloned repository. 5. Restart your MCP client to enable the server tools.

What you can do with MCP Query Table

• Extract real-time and historical stock screening tables from iwencai for prompt market evaluation. * Scrape dynamic financial statements and company performance tables from eastmoney using headless browser automation. * Retrieve stock market indicator data from tdx to support quantitative trading research workflows. * Implement fallback data queries across multiple financial portals when primary sources encounter rate limits or outages.

Key facts

• https://github.com/MCP-Mirror/wukan1986_mcp_query_table
• Browser & Web Automation, Finance, Crypto & Payments, Web Search & Research
• financial-data, market data, playwright, web scraping

Part of MCP Servers

What is MCP Query Table?

MCP Query Table is a Model Context Protocol server that uses Playwright automation to scrape and retrieve financial tables from web platforms such as iwencai, tdx, and eastmoney for AI clients.

What can MCP Query Table do?

The server controls browser sessions to extract structured financial tables from JavaScript-heavy portals, allowing AI assistants to query market data, screener metrics, and historical stock indicators directly with built-in source fallback.

Which MCP clients work with MCP Query Table?

It functions with standard Model Context Protocol clients that support local stdio server connections, such as Claude Desktop, Cursor, and custom agent frameworks configured with MCP tool-calling capabilities.

How do I install MCP Query Table?

Specific package managers and commands are detailed in the repository. Users should clone the repository at https://github.com/MCP-Mirror/wukan1986_mcp_query_table, install the required environment dependencies and Playwright browsers, then configure their client JSON file.