TradingView-MCP
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- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with TradingView Desktop charts via Chrome DevTools Protocol for chart analysis, Pine Script development, and workflow automation.130 npm-
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with TradingView Desktop charts via Chrome DevTools Protocol, supporting chart analysis, Pine Script development, drawing, alerts, and replay automation.130 npm-
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to read, control, and draw on locally running TradingView Desktop charts via Chrome DevTools Protocol for chart analysis, Pine Script development, and workflow automation.130 npm-
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with TradingView Desktop charts for analysis, Pine Script development, and workflow automation via Chrome DevTools Protocol.130 npm-
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with locally running TradingView Desktop for chart analysis, Pine Script development, and automation via Chrome DevTools Protocol.130 npm-
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with locally running TradingView Desktop for chart analysis, Pine Script development, and workflow automation via Chrome DevTools Protocol.130 npm6,686-
TDQS
Scored across 105 tools
The set contains multiple near-synonymous clusters—run_*_study/audit tools, strategy backtest/regime variants, and template/context/outcome trios—so an agent can easily select the wrong specialized variant. Detailed descriptions help, but the sheer number of overlapping research and backtest tools creates real ambiguity.
Almost all tools follow a snake_case verb_noun pattern (get_, set_, run_, compute_, validate_), and categories use predictable prefixes. Minor deviations like carry_panel_preflight and get_oanda_flow_collection_readiness are more noun-heavy, but no naming convention is mixed within a cluster.
105 tools is far beyond the well-scoped range and well over the 50-tool extreme threshold. Even for a broad TradingView automation server, this number creates excessive selection overhead and makes the toolkit feel overgrown.
The surface is remarkably comprehensive: chart control, Pine script lifecycle, backtesting, research audit, journaling, alerts, market data, and risk sizing are all covered. Obvious gaps such as alert update/delete, watchlist modification, and direct script deletion exist, but core workflows have few dead ends.