Unquant for LangChain
ai.unquant/unquant
Financial data MCP for market, company, news, macro, and US Congress research.
client:LangChain
transport:streamable-http
tools:28
Install Unquant in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"unquant": {
"transport": "streamable_http",
"url": "https://unquant.ai/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
- ping
- datasets_list
- datasets_describe
- datasets_search
- catalog_list
- catalog_describe
- catalog_preview
- feedback_submit
- catalog_request
- market_price_history
- market_quote
- market_company_profile
- market_fundamentals
- market_symbol_search
- market_analyst_ratings
- market_earnings
- market_etf_holdings
- macro_calendar
- macro_indicator
- news_stock
- news_general
- news_impacts
- news_article
- macro_current_conditions