Hemrock MCP for LangChain
io.github.tdavidson/mcp-hemrock
Hemrock financial modeling prompts: context primers, task prompts, checks, and best practices.
client:LangChain
transport:streamable-http
tools:13
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