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tv-pinescript-backtest-mcp exposes a remote MCP endpoint so agents can: run strategy backtests by symbol/timeframe/date range, pass strategy inputs programmatic
tv-pinescript-backtest-mcp exposes a remote MCP endpoint so agents can: run strategy backtests by symbol/timeframe/date range, pass strategy inputs programmatically, receive structured backtest results (trades, win rate, profit, drawdown), keep long-running runs observable via progress notifications, support Binance Futures tickers only, enforce a maximum of 1440 candles per backtest, apply a rate limit of 3 backtests per minute per user, ask your agent to write a strategy and backtest it. Troubleshooting The backtest-engine server has been tested on 30 strategies and tuned to match TradingView backtests 1:1 as closely as possible. Some operators may still be unsupported. If you hit this case, please create a minimal strategy that reproduces the issue and submit it in Issues. We will do our best to add support quickly. https://backtest-engine-mcp.click/ https://github.com/vtlk/tv-pinescript-backtest-engine-mcp
Smithery CLI connects your agents to thousands of skills and MCP servers directly from the command line. To get started, simply run npx skills add smithery/cli.
npm install -g smithery@latest
Requires Node.js 20+.
smithery mcp search [term] # Search the Smithery registry
smithery mcp add <url> # Add an MCP server connection
smithery mcp list # List your connections
smithery mcp remove <ids...> # Remove connections
Interact with tools from MCP servers connected via smithery mcp.
smithery tool list [connection] # List tools from your connected MCP servers
smithery tool find [query] # Search tools by name or intent
smithery tool get <connection> <tool> # Show full details for one tool
smithery tool call <connection> <tool> [args] # Call a tool
Browse skills on the Smithery Skills Registry and install them with the upstream installer:
npx skills add <skill> # e.g. npx skills add smithery-ai/cli
smithery auth login # Login with Smithery (OAuth)
smithery auth logout # Log out
smithery auth whoami # Check current user
smithery auth token # Mint a service token
smithery auth token --policy '<json>' # Mint a restricted token
smithery namespace list # List your namespaces
smithery namespace use <name> # Set current namespace
smithery mcp publish <url> -n <org/server> # Publish an MCP server URL
smithery mcp publish <bundle.mcpb> -n <org/server> # Publish an MCP bundle
# Search and connect to an MCP server
smithery mcp search "github"
smithery mcp add github --id github
# Find and call tools from your connected MCP servers
smithery tool find "create issue"
smithery tool call github create_issue '{"title":"Bug fix","body":"..."}'
# Browse and install skills
smithery skill search "frontend" --json --page 2
smithery skill add anthropics/frontend-design --agent claude-code
# Publish your MCP server URL
smithery mcp publish https://my-mcp-server.com -n myorg/my-server
# Publish a built MCP bundle
smithery mcp publish ./server.mcpb -n myorg/my-server
git clone https://github.com/smithery-ai/cli
cd cli && pnpm install && pnpm run build
npx . --help
Contributions welcome! Please submit a Pull Request.
Run in your terminal:
claude mcp add aiagentwithpinescript -- npx -y @smithery/cli run TradingViewBacktestAssistant/AIAgentwithPineScriptNot sure what to pick?
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