Discover connected discussions by analyzing shared files, folders, languages, size, or timing from a reference conversation. Identify codebase-related threads, similar problem-solving sessions, or evolving ideas to enhance context and continuity.
Cross-validate data integrity across related Excel/CSV files by checking referential integrity, data completeness, and value ranges to ensure consistency.
Identify related documentation files by analyzing metadata from a specified project path and document file to enhance knowledge retrieval and organization.
Discover conversations related to a specific discussion by analyzing shared files, folders, programming languages, size, or timing. Use this tool to identify similar problem-solving sessions, trace idea evolution, or find discussions about the same codebase.
Enables AI agents to safely explore directories, read files, search content by pattern or filename, and edit files with checksum verification and dry-run preview within sandboxed filesystem access.
A local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.
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