jcodemunch-mcp

import os from jcodemunch_mcp import MCPClient # Initialize the client. This assumes a local server or embedded functionality. # For advanced setups, authentication or server URL might be configured via env vars or constructor args. client = MCPClient() # Define the repository path to analyze (e.g., the current directory). # For real-world use, replace with your target repository path. repo_path = os.getcwd() print(f"Indexing repository at '{repo_path}' for analysis...") # It's good practice to explicitly index the folder first. # Note: This might take time for large repositories. client.index_folder(repo_path=repo_path) print("Indexing complete.") # Example 1: Search for a common anti-pattern (e.g., 'empty_catch') using cross-language AST matching. print(f"\nSearching for 'empty_catch' anti-pattern...") results_ast = client.search_ast(repo_path=repo_path, query='empty_catch') if results_ast: print(f"Found {len(results_ast)} 'empty_catch' instances. Showing first 3:") for r in results_ast[:3]: print(f"- {r['file']}:{r['line']} (Lang: {r['lang']}):\n ```\n{r['snippet']}\n ```") else: print("No 'empty_catch' instances found.") # Example 2: Get project intelligence (e.g., Dockerfiles, CI/CD configs). print(f"\nGetting project intelligence for '{repo_path}'...") project_intel = client.get_project_intel(repo_path=repo_path) if project_intel and 'dockerfiles' in project_intel: print(f"Found {len(project_intel['dockerfiles'])} Dockerfiles.") for df in project_intel['dockerfiles'][:1]: # Show details for the first Dockerfile print(f"- Dockerfile at: {df['path']}") print(f" Entrypoint: {df.get('entrypoint', 'N/A')}") print(f" Stages: {', '.join([s['name'] for s in df.get('stages', [])])}") else: print("No Dockerfiles or significant project intelligence found.")