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AI-assisted TradingView chart analysis — connect Claude Code to your TradingView Desktop for personal workflow automation
This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.
85
review score
Problem solved
It solves the problem of AI agents lacking direct access to professional trading interfaces, allowing LLMs to interact with live chart data and trading tools without relying on external APIs or cloud services. Unlike trading bots, it focuses on human-AI collaboration for analysis and script development rather than automated execution.
Deployment reality
The available setup signal starts with: git clone https://github.com/tradesdontlie/tradingview-mcp.git && cd tradingview-mcp && npm install. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is NOASSERTION. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can build AI-assisted trading workflows such as natural language chart navigation, Pine Script creation and debugging, indicator reading, alert management, and multi-pane layout setup. Real-world use cases include automated technical analysis, backtesting script iteration, and personalized trading assistants that operate on local data. The ceiling includes complex multi-step analysis pipelines and interactive replay practice, but excludes real trade execution or bypassing paywalls.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
tradesdontlie/tradingview-mcp is tracked as a JavaScript project in the Automation, MCP Server area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 5.4k total stars, with +0 today, +256 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 77 days ago, and the open issue queue is 164, about 3.06% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 2.3k forks and 5.4k watchers suggest how often the project is reused or followed. License signal: NOASSERTION. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need JavaScript teams evaluating ecosystem-native tooling. Be cautious when you have low tolerance for large unresolved issue queues.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 256. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
LimitedLicense is unknown and should be checked before commercial use.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
5.4k Stars
Reuse
2.3k Forks
Attention
5.4k Watchers
Maintenance
moderate
License
NOASSERTION
Open issues
164
TradingView MCP Bridge connects Claude Code to your locally running TradingView Desktop app via Chrome DevTools Protocol, enabling AI-assisted chart analysis, Pine Script development, and workflow automation. All data processing occurs locally on your machine.
Key Features
- Pine Script development with AI assistance (write, inject, compile, debug, iterate) - Chart navigation and visual analysis (change symbols/timeframes, read indicator values, capture screenshots) - Multi-pane layouts, alert management, replay practice, and CLI access for every MCP tool
Automation
Workflow automation, integration glue, and orchestration
MCP Server
Model Context Protocol servers, clients, and integrations
git clone https://github.com/tradesdontlie/tradingview-mcp.git && cd tradingview-mcp && npm install63
Health Score
Moderate
Commit Activity
Mar 29, 2026
Created
Jul 28, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
tradesdontlie
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✓
License
✓
Forked
~ Moderate
Maintained
Problem Solved
It solves the problem of AI agents lacking direct access to professional trading interfaces, allowing LLMs to interact with live chart data and trading tools without relying on external APIs or cloud services. Unlike trading bots, it focuses on human-AI collaboration for analysis and script development rather than automated execution.
Capabilities
Developers can build AI-assisted trading workflows such as natural language chart navigation, Pine Script creation and debugging, indicator reading, alert management, and multi-pane layout setup. Real-world use cases include automated technical analysis, backtesting script iteration, and personalized trading assistants that operate on local data. The ceiling includes complex multi-step analysis pipelines and interactive replay practice, but excludes real trade execution or bypassing paywalls.
Bottom Line
This tool is ideal for developers and traders who want to experiment with AI-augmented chart analysis and Pine Script development using their own TradingView subscription. It should be avoided by those seeking a trading bot or expecting stable, production-grade reliability due to reliance on undocumented internal APIs. The key trade-off is powerful local AI integration versus potential breakage from TradingView updates.