detect_patterns
Analyze graph data to uncover patterns, detect anomalies, and identify communities using centrality measures and path analysis. Returns a comprehensive report with results and potential errors.
Instructions
Identify patterns, communities, and anomalies within graphs. Runs all supported analyses and returns a combined report.
Args:
graph_id: ID of the graph to analyze
ctx: MCP context for progress reporting
Returns:
Dictionary with results from all analyses that succeeded. Keys may include:
- degree_centrality
- betweenness_centrality
- closeness_centrality
- communities (if community detection is available)
- shortest_path (if path finding is possible)
- path_length
- anomalies (if anomaly detection is available)
- errors (dict of analysis_type -> error message)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ctx | No | ||
| graph_id | Yes |
Input Schema (JSON Schema)
{
"$defs": {
"Context": {
"description": "Context object providing access to MCP capabilities.\n\nThis provides a cleaner interface to MCP's RequestContext functionality.\nIt gets injected into tool and resource functions that request it via type hints.\n\nTo use context in a tool function, add a parameter with the Context type annotation:\n\n```python\n@server.tool()\ndef my_tool(x: int, ctx: Context) -> str:\n # Log messages to the client\n ctx.info(f\"Processing {x}\")\n ctx.debug(\"Debug info\")\n ctx.warning(\"Warning message\")\n ctx.error(\"Error message\")\n\n # Report progress\n ctx.report_progress(50, 100)\n\n # Access resources\n data = ctx.read_resource(\"resource://data\")\n\n # Get request info\n request_id = ctx.request_id\n client_id = ctx.client_id\n\n return str(x)\n```\n\nThe context parameter name can be anything as long as it's annotated with Context.\nThe context is optional - tools that don't need it can omit the parameter.",
"properties": {},
"title": "Context",
"type": "object"
}
},
"properties": {
"ctx": {
"anyOf": [
{
"$ref": "#/$defs/Context"
},
{
"type": "null"
}
],
"default": null
},
"graph_id": {
"title": "Graph Id",
"type": "string"
}
},
"required": [
"graph_id"
],
"title": "detect_patternsArguments",
"type": "object"
}