LangChain

Hemrock MCP for LangChain

io.github.tdavidson/mcp-hemrock

Financial models in chat: cap tables, waterfalls, fund economics, SaaS, ecommerce, unit economics.

client:LangChain transport:streamable-http tools:23

Install Hemrock MCP in LangChain

pip install langchain-mcp-adapters

from langchain_mcp_adapters.client import MultiServerMCPClient

client = MultiServerMCPClient({
        "mcp-hemrock": {
            "transport": "streamable_http",
            "url": "https://mcp.hemrock.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

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