Access skill documents including scripts, reference materials, and assets. Retrieve Python files, data files, or images using pattern matching after finding relevant skills.
Retrieve code differences for a Bitbucket pull request to review added, removed, or modified lines. Understand change scope and analyze impact before merging.
Retrieve specific documents, scripts, and resources from Claude skills to access Python scripts, reference materials, example data files, and images using pattern matching.
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 simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
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.