semlayer for LangChain
dev.semlayer/mcp
Infers a semantic layer from your data warehouse and serves it to agents over MCP.
client:LangChain
transport:stdio
runtime:pypi
Install semlayer in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "stdio",
"command": "uvx",
"args": ["semlayer"],
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs