fundlens for LangChain
io.github.mguay22/fundlens
SEC fund holdings for AI agents: who holds X, what changed, returns, flows, and fund overlap.
client:LangChain
transport:stdio
runtime:npm
Install fundlens in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"fundlens": {
"transport": "stdio",
"command": "npx",
"args": ["-y", "@fundlens/mcp"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs