tradingview-mcp: MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests

by atilaahmettaner · MCP Server · ★ 5.2k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install tradingview-mcp

pip install tradingview-mcp-server
git clone https://github.com/atilaahmettaner/tradingview-mcp

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

claude-desktopcryptocurrencyfuturesmarket-datamcp-servermcp-toolsmodel-context-protocolopenclawstock-markettechnical-analysis

Quick Facts

Stars5,223
Forks1,025
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score69/100
Open Issues9
Last Updated2026-11-07
Created2025-08-08
Platformsclaude-code, mcp, python
Est. Tokens~15k

About tradingview-mcp

📈 AI Trading Intelligence Framework — MCP Server The most complete AI-powered trading toolkit for Claude and MCP clients. Backtesting + Live Sentiment + Yahoo Finance + 30+ Technical Analysis Tools — all in one MCP server. ⭐ If this tool improves your workflow, please star the repo and consider sponsoring — it keeps the project alive and growing! <

Compatible Skills

These tools work well together with tradingview-mcp for enhanced workflows:

  • LLM_trader — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • ai-hedge-fund-crypto — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (57%)
  • polymarket-ai-market-suggestor — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • vn_stock_advisor — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • composer-trade-mcp — semantic(0.44)+rare_topics+same_lang+similar_pop+shared_platform (50%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse MCP Server tools