cavalry for LangChain
io.github.doc2mcp/cavalry
MCP server for cavalry documentation, generated by doc2mcp.
client:LangChain
transport:streamable-http
Install cavalry in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"cavalry": {
"transport": "streamable_http",
"url": "https://doc2mcp.site/api/mcp/2b3751c9-893e-49b2-b627-da208f631cbb/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs