query_patterns
Discover and analyze code patterns across programming languages within a knowledge graph. Filter results by language or pattern name to enhance code understanding and retrieval.
Instructions
Query code patterns in the knowledge graph.
Args: language: Filter by programming language pattern_name: Filter by pattern name
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| language | No | ||
| pattern_name | No |
Implementation Reference
- sourcesage/mcp_server.py:358-394 (handler)The handler function for the 'query_patterns' MCP tool. It queries the knowledge graph for patterns matching the given language and name filters, then formats and returns a detailed string summary of the matching patterns.
@self.mcp.tool() def query_patterns( language: str | None = None, pattern_name: str | None = None ) -> str: """Query code patterns in the knowledge graph. Args: language: Filter by programming language pattern_name: Filter by pattern name """ patterns = self.knowledge.find_patterns( name=pattern_name, language=language ) if not patterns: return "No patterns found matching the query criteria" # Format results output = f"Found {len(patterns)} patterns:\n\n" for pattern in patterns: output += f"Name: {pattern.name}\n" if pattern.language: output += f"Language: {pattern.language}\n" output += f"Description: {pattern.description}\n" if pattern.example: output += "Example:\n" output += "```\n" output += pattern.example output += "\n```\n" output += "\n" return output