About Tradingview Server
Tradingview Server is an MCP server published by bidouilles in the Developer Tools category: a Model Context Protocol (MCP) server that provides programmatic access to TradingView's technical indicators and market data for automated trading analysis and strategy development.
The repository has 26 stars and 11 forks, with the last commit 4 months ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
git clone https://github.com/bidouilles/mcp-tradingview-serverThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- ✓Tests presentA test suite exists in the repository.
- !Dependencies pinnedNo lockfile. Installs can pull different code over time.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
MCP TradingView Server
FastMCP v2 server that exposes TradingView technical indicators and OHLCV data through the tradingview_scraper library. The mcp-tradingview console entry powers Claude Desktop or any MCP-aware client.
Quick Start
Automated Setup (Recommended)
- Install uv and Python 3.11+
- Run the setup script:
./setup.sh- Installs dependencies and creates virtual environment
- Automatically configures Claude Desktop with the MCP server
- Restart Claude Desktop to load the new configuration
Manual Setup
- Install uv and Python 3.11+
uv venv --python 3.11 && source .venv/bin/activateuv pip install -e .- Configure Claude Desktop (see below)
Running
- Stdio (Claude default):
uv run mcp-tradingview - SSE service:
uv run mcp-tradingview --transport sse --host 0.0.0.0 --port 8000 - HTTP service:
uv run mcp-tradingview --transport http --host 0.0.0.0 --port 8000 --path /mcp
FASTMCP_HOST, FASTMCP_PORT, and FASTMCP_PATH environment variables override the bind settings when present.
Tools
get_indicators(symbol, exchange="BINANCE", timeframe="1h", all_indicators=True, export_result=False)– full TradingView indicator snapshot; returnssuccess,symbol,exchange,timeframe, and anindicatorsmapping.get_specific_indicators(symbol, indicators, exchange="BINANCE", timeframe="1h", export_result=False)– filters the full snapshot to requested keys (case-insensitive) and echoesrequested_indicators.get_historical_data(symbol, exchange="BINANCE", timeframe="1h", max_records=100, export_result=False)– streams OHLCV candles viaStreamer, returningrecords_collected,data, and optionalexport_file.
Resources & Exports
- Resource
indicators/{symbol}emits a formatted indicator report usingget_indicatorsdefaults. - When
export_result=True, JSON payloads are written toexport/; keep large archives out of version control.
Claude Desktop
Add the server to claude_desktop_config.json. Here are the recommended configurations:
Using Claude Code CLI (Easiest)
claude mcp add tradingview -- uvx --from /absolute/path/to/mcp-tradingview-server mcp-tradingview
Or with uv run:
claude mcp add tradingview -- uv run mcp-tradingview --cwd /absolute/path/to/mcp-tradingview-server
Manual Configuration
Stdio Transport (Recommended)
{
"mcpServers": {
"tradingview": {
"command": "uvx",
"args": ["--from", "/absolute/path/to/mcp-tradingview-server", "mcp-tradingview"]
}
}
}
Alternative with uv run:
{
"mcpServers": {
"tradingview": {
"command": "uv",
"args": ["run", "mcp-tradingview"],
"cwd": "/absolute/path/to/mcp-tradingview-server"
}
}
}
HTTP Transport
{
"mcpServers": {
"tradingview": {
"command": "uv",
"args": ["run", "mcp-tradingview", "--transport", "http", "--host", "0.0.0.0", "--port", "8001", "--path", "/mcp"],
"cwd": "/absolute/path/to/mcp-tradingview-server"
}
}
}
Restart Claude Desktop after updating the configuration. The bundled CLAUDE.md provides extra guidance the model can reference while chatting.
Development
uv run pytestexecutes the asynchronous test suite intest_server.py.- Use
logging.getLogger(__name__)for diagnostics; avoid printing secrets. - Refer to
export/for captured fixtures when updating tests or documentation.
License
This project is provided as-is for educational and research purposes.
README fetched from the repository 7 days ago. The original is authoritative.