Backtest360 for LangChain
com.backtest360/backtest360
MCP server exposing the Backtest360 engine API as tools for AI agents.
client:LangChain
transport:streamable-http
runtime:pypi
tools:20
Install Backtest360 in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"backtest360": {
"transport": "streamable_http",
"url": "https://mcp.backtest360.com/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- get_me
- engine_info
- get_catalog
- list_indicators
- list_templates
- get_strategy_schema
- validate_strategy
- run_backtest
- get_latest_signal
- compare_backtests
- export_backtest
- compute_stats
- search_tickers
- list_tickers
- get_data_range
- get_ticker_info
- get_quote
- get_price_history
- list_macro_series
- get_macro_series