What is tradingview-mcp?

This framework is a multi-agent Model Context Protocol (MCP) server designed to empower AI clients like Claude with autonomous financial analysis capabilities. It deploys specialized agents—Technical Analyst, Sentiment Analyst, and Risk Manager—who collaborate and debate to deliver consensus-driven trading decisions such as STRONG BUY or SELL.

tradingview-mcp

Active·★ 5.0k·MIT·Updated 2026-10-13

★ API Integration★ Data Processing

TradingView MCP presents itself as an AI trading intelligence framework: a multi-agent MCP server that turns Claude, or any MCP client, into a financial analysis desk. It splits trading analysis into three roles: a Technical Analyst that evaluates price action with a Bollinger Band rating from -3 to +3, RSI and MACD; a Sentiment and Momentum Analyst that looks at recent momentum, MACD crossovers and RSI trends; and a Risk Manager that assesses volatility through Bollinger Band width and mean-reversion risk against SMA20 and EMA200. The agents debate and output one decision (strong buy, buy, hold, sell or strong sell) with a confidence level.

The tools include multi_agent_analysis for the full three-agent debate, coin_analysis for a raw technical deep dive, real-time screening (top gainers and losers, Bollinger Band squeeze scans, rating filters) and candlestick pattern scans such as consecutive candles and multi-timeframe patterns, across crypto exchanges and stocks. Setup takes about five minutes through Claude Desktop. The README carries a disclaimer: the framework is for research, performance varies with the LLM, market conditions and parameters, and it is not financial, investment or trading advice. The code is MIT licensed.

#claude-desktop#cryptocurrency#mcp-server#mcp-servers#mcp-tools#stock-market#trading-mcp#trading-strategies

Features

01Multi-Agent Architecture for specialized financial analysis (Technical, Sentiment, Risk).

02Consensus-driven trading decisions with calculated confidence levels.

03Real-time market screening for top gainers/losers and specific patterns.

04Advanced pattern recognition across multiple timeframes.

05Zero API keys required for market data.

Why choose it

+Combines technical, sentiment and risk views in one multi-agent analysis that outputs a decision with a confidence level.

+Real-time screening tools: top gainers and losers, Bollinger Band squeeze scans and rating filters across exchanges.

+Candlestick pattern scans, including consecutive candles and multi-timeframe patterns.

+Short Claude Desktop setup, MIT licensed, with a clear research-only disclaimer.

Trade-offs

!The README says it is for research only and not financial or investment advice, and results depend on the LLM, market conditions and parameters.

!The analysis rests on a few technical indicators (Bollinger Bands, RSI, MACD, moving averages), so it does not cover fundamentals.

!The "debate" between agents is generated by an LLM, so decisions are not backtested guarantees, and acting on them risks real money.

Compatibility

Claude Desktop

Recommended AI Client

Verified via docs

Model Context Protocol

Native MCP Server

Verified via docs

Python

Runtime Environment (3.10+)

Verified via docs

macOS

Compatible OS

Verified via docs

Windows

Compatible OS

Verified via docs

Linux

Compatible OS

Verified via docs

Quick start

$ git clone https://github.com/atilaahmettaner/tradingview-mcp.git

$ cd tradingview-mcp

$ uv sync

Use cases

↳Execute multi-agent analyses on assets (e.g., stocks, crypto) across various exchanges and timeframes.

↳Rapidly identify top-performing or declining assets based on real-time market conditions.

↳Scan for specific technical patterns, such as Bollinger Band squeezes or consecutive bullish/bearish candles.

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tradingview-mcp

Active·★ 5.0k·MIT·Updated 2026-10-13

★ API Integration★ Data Processing

#claude-desktop#cryptocurrency#mcp-server#mcp-servers#mcp-tools#stock-market#trading-mcp#trading-strategies

Features

01Multi-Agent Architecture for specialized financial analysis (Technical, Sentiment, Risk).

02Consensus-driven trading decisions with calculated confidence levels.

03Real-time market screening for top gainers/losers and specific patterns.

04Advanced pattern recognition across multiple timeframes.

05Zero API keys required for market data.

Why choose it

+Combines technical, sentiment and risk views in one multi-agent analysis that outputs a decision with a confidence level.

+Real-time screening tools: top gainers and losers, Bollinger Band squeeze scans and rating filters across exchanges.

+Candlestick pattern scans, including consecutive candles and multi-timeframe patterns.

+Short Claude Desktop setup, MIT licensed, with a clear research-only disclaimer.

Trade-offs

!The README says it is for research only and not financial or investment advice, and results depend on the LLM, market conditions and parameters.

!The analysis rests on a few technical indicators (Bollinger Bands, RSI, MACD, moving averages), so it does not cover fundamentals.

!The "debate" between agents is generated by an LLM, so decisions are not backtested guarantees, and acting on them risks real money.

Compatibility

Claude Desktop

Recommended AI Client

Verified via docs

Model Context Protocol

Native MCP Server

Verified via docs

Python

Runtime Environment (3.10+)

Verified via docs

macOS

Compatible OS

Verified via docs

Windows

Compatible OS

Verified via docs

Linux

Compatible OS

Verified via docs

Quick start

$ git clone https://github.com/atilaahmettaner/tradingview-mcp.git

$ cd tradingview-mcp

$ uv sync

Use cases

↳Execute multi-agent analyses on assets (e.g., stocks, crypto) across various exchanges and timeframes.

↳Rapidly identify top-performing or declining assets based on real-time market conditions.

↳Scan for specific technical patterns, such as Bollinger Band squeezes or consecutive bullish/bearish candles.

Alternatives

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TrendRadar★ 62.9k

fastmcp★ 28.1k

🚀 The fast, Pythonic way to build MCP servers and clients.

FunASR★ 20.7k

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation and speaker diarization, with OpenAI-compatible and MCP serving.

semble★ 6.2k

Fast and Accurate Code Search for Agents

csharp-sdk★ 4.6k

The official C# SDK for Model Context Protocol servers and clients. Maintained in collaboration with Microsoft.

fast-agent★ 3.9k

Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support

Godot-MCP★ 283

Godot-MCP — Model Context Protocol (MCP) integration for the Godot Engine. AI tools for the Godot Editor in C#, with cloud connection to ai-game.dev. Apache-2.0.