Analyzes large codebases by distributing files across multiple LLM services for parallel processing, reducing analysis time for projects with 20+ files.
Analyze entire codebases to identify patterns, duplications, architectural issues, and suggest improvements for architecture, security, performance, or general code quality.
Analyze codebases to identify patterns, duplications, architectural issues, and suggest improvements across architecture, security, performance, or general code quality.
Enables intelligent handling of large files through smart chunking, search with regex support, line navigation, and streaming capabilities without loading entire files into memory.
MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to:
Submit and validate constraint models
Set model parameters
Solve constraint satisfaction and optimization problems
Retrieve and analyze solution
A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.