AstroWay Reports for LangChain
info.astroway/reports
Sixteen finished PDF reports and the white-label configuration behind them.
client:LangChain
transport:streamable-http
tools:47
Install AstroWay Reports in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"reports": {
"transport": "streamable_http",
"url": "https://mcp.astroway.info/mcp/reports",
}
})
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
- astroway_account_status
- astroway_cost_estimate
- astroway_agent_tools
- astroway_mcp_ai_chat
- astroway_mcp_ai_comparison_coach
- astroway_mcp_ai_explain_aspect
- astroway_mcp_ai_explain_transit
- astroway_mcp_agent_debate
- astroway_mcp_agent_pool_status
- astroway_mcp_multi_agent_coordinate
- astroway_mcp_multi_chart_context
- astroway_mcp_rag_search
- astroway_mcp_streaming
- astroway_mcp_tool_call_stream
- astroway_mcp_tools_list
- astroway_reports_ai_monthly_narrative
- astroway_reports_ai_natal_narrative
- astroway_reports_ai_synastry_narrative
- astroway_reports_ai_transit_narrative
- astroway_reports_ai_year_ahead_narrative
- astroway_reports_bazi
- astroway_reports_business
- astroway_reports_career
- astroway_reports_child