TradingView MCP
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- AlicenseBqualityBmaintenanceProvides real-time market data, technical analysis, screeners, and backtesting for stocks, crypto, forex, and futures across global exchanges, enabling AI assistants to fetch quotes, indicators, and strategy results via natural language.371MIT
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and backend integrations to query multi-market financial data, technical indicators, fundamentals, money flow, news, and filings, and export structured CSV/JSON through MCP tools and HTTP APIs.-
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and backend workflows to access standardized multi-market financial data, technical indicators, fundamentals, news, filings, money flow, and CSV/JSON exports through MCP tools and HTTP endpoints.-
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants to access and analyze financial data, stock information, company fundamentals, and market insights through a standardized MCP interface. It provides 250+ tools across categories such as financial statements, quotes, technical indicators, ETFs, crypto, forex, commodities, economics, and SEC filings.333 npmApache 2.0
- FlicenseNot gradedqualityAmaintenanceEnables AI agents and backends to access standardized financial market data and analysis tools across A-shares, US equities, ETFs, indices, and crypto, including technical indicators, fundamentals, news, filings, and money flow. It exposes these capabilities through MCP tools and HTTP endpoints, with agent-friendly artifacts and CSV/JSON exports.-
- AlicenseNot gradedqualityBmaintenanceEnables AI models to pull live market data, including quotes, technical indicators, charts, and TradingView screeners, through MCP tools.1MIT
TDQS
Scored across 37 tools
Multiple tools have overlapping purposes: egx_sector_scan vs egx_sector_scanner, several volume scanners (smart_volume_scanner, volume_breakout_scanner, volume_confirmation_analysis), and multiple single-symbol analysis tools (coin_analysis, multi_timeframe_analysis, combined_analysis, multi_agent_analysis) that could be confused. The descriptions try to differentiate, but the sheer number of near-synonyms creates meaningful misselection risk.
Tool names use a mix of conventions: most are snake_case verb_noun (bollinger_scan, combined_analysis) but others are noun-only (yahoo_price, market_snapshot) or use inconsistent verb choices (scan vs scanner, e.g., egx_sector_scan vs egx_sector_scanner). Domain prefixes (egx_, futures_, stock_) help, but the overall pattern is not uniform.
37 tools is well above the comfortable range and suggests a kitchen-sink approach. Many tools are highly niche (egx_fibonacci_retracement, egx_trade_plan, stock_options_unusual_activity) and could be grouped into separate sub-servers. The count overwhelms the nominal purpose and increases selection difficulty.
The tool set covers a broad range of trading analysis: quotes, technicals, scanners, backtesting, news, options, futures, and EGX-specific features. However, there are notable gaps such as no stock fundamentals, no economic calendar, and no portfolio/watchlist management. Some workflows also dead-end, like lacking a dedicated futures single-contract quote tool, relying instead on coin_analysis.