Execute a Python file with specified arguments and environment, returning the result for seamless script integration and automation within the MCP Python Interpreter.
Execute a Python file with specified arguments and environment settings. Processes file paths, custom environments, and command-line inputs to return script results efficiently for development workflows.
Create or update Python files directly within a working directory or system-wide. Specify file path, content, and overwrite option to manage Python scripts efficiently.
Resolve Stacks/Clarity smart contract errors and debugging loops by redirecting to MCP-first debugging approaches instead of generic blockchain solutions.
An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
Bridges Xcode and Cursor to provide real-time access to build errors, warnings, and debug output from Xcode's DerivedData, enabling automated error analysis and fixes directly within Cursor.
Provides intelligent error detection and debugging capabilities across multiple programming languages with real-time monitoring of build, lint, runtime, console, and test errors. Offers AI-enhanced error analysis with automated resolution suggestions and context-aware debugging.