mcp for LangChain
io.datadef/mcp
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client:LangChain
transport:streamable-http
tools:36
Install mcp in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://datadef.io/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
- get_design_guide
- canvas_describe_canvas
- canvas_inspect_nodes
- canvas_measure_canvas
- canvas_suggest_simplifications
- canvas_search_icons
- canvas_add_nodes
- canvas_add_standalone_node
- canvas_update_nodes
- canvas_replace_node
- canvas_remove_nodes
- canvas_connect_nodes
- canvas_update_edges
- canvas_disconnect_nodes
- canvas_set_columns
- canvas_group_nodes
- canvas_move_to_group
- canvas_add_lineage
- canvas_add_text
- canvas_add_shape
- canvas_add_flow_arrow
- canvas_add_region
- canvas_move_nodes
- canvas_resize_nodes