apply_group_in_a_box_layout
Organizes graph nodes into clustered box layouts to visualize grouped network data clearly and improve analytical insights.
Instructions
Apply group-in-a-box layout to the graph using Graphistry's group_in_a_box_layout API.
Args:
graph_id (str): The ID of the graph to modify.
Returns:
dict: { 'graph_id': ..., 'url': ... } with the updated visualization URL.
Example:
apply_group_in_a_box_layout(graph_id)Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| graph_id | Yes |
Implementation Reference
- The handler function decorated with @mcp.tool(), implementing the core logic: checks graph existence, applies g.group_in_a_box_layout(), updates cache, returns graph_id and plot URL.
@mcp.tool() async def apply_group_in_a_box_layout(graph_id: str) -> Dict[str, Any]: """ Apply group-in-a-box layout to the graph using Graphistry's group_in_a_box_layout API. Args: graph_id (str): The ID of the graph to modify. Returns: dict: { 'graph_id': ..., 'url': ... } with the updated visualization URL. Example: apply_group_in_a_box_layout(graph_id) """ if graph_id not in graph_cache: raise ValueError(f"Graph not found: {graph_id}") g = graph_cache[graph_id]["graph"] g = g.group_in_a_box_layout() graph_cache[graph_id]["graph"] = g return {"graph_id": graph_id, "url": g.plot(render=False)} - src/graphistry_mcp_server/server.py:514-514 (registration)The @mcp.tool() decorator registers this function as the MCP tool named 'apply_group_in_a_box_layout', using the function name and type hints for schema.
@mcp.tool()