Stackmark for LangChain
dev.stackmark/stackmark
Search a directory of 70K+ AI building blocks: MCP servers, agents, models, datasets, prompts.
client:LangChain
transport:streamable-http
tools:4
Install Stackmark in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"stackmark": {
"transport": "streamable_http",
"url": "https://stackmark.dev/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs