EDGAR Answers for LangChain
io.github.aion-autonomous-org/edgar-answers-mcp
Normalized SEC EDGAR data for AI agents: XBRL financials, 10-K risk diffs, Form 4 insider trades.
client:LangChain
transport:streamable-http
Install EDGAR Answers in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"edgar-answers-mcp": {
"transport": "streamable_http",
"url": "https://aion-org--edgar-answers-mcp.apify.actor/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs