Resolve Aptos blockchain errors and debugging loops by applying MCP-first debugging approaches to development workflows.
Apache 2.0
606,927 tools. Updated 2026-09-24 12:13
"Debugging and Testing Errors in Rust Code" matching MCP tools:
- Check plugin health by verifying RCON connectivity, scanning server logs for recent errors, and confirming database file status to ensure stability before testing or debugging.MIT
- Validate Stylus Rust code for smart contracts by running cargo check to detect compilation errors and provide structured fixes with line numbers and guidance.MIT
- Launch a program for debugging and receive a session ID to control the debug session. Supports Rust via cargo build arguments or pre-built binaries.MIT
- Clear the captured binding errors list to reset state before testing specific scenarios in a WPF app.MIT
- Check code syntax statically without execution to identify errors early and simplify debugging.MIT
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- Test regex patterns against strings with match details, groups, and indices, and generate working code in JavaScript, Python, Go, Rust, and Java.MIT
- Run the project's native linter or compiler to detect unused variables, dead code, type errors, and syntax issues. Uses deterministic tools for accurate analysis across TypeScript, Python, Rust, and Go.MIT
- Expands TypeScript macros and @derive decorators to show generated code with diagnostics for debugging and understanding transformations.MIT
- Identifies solutions for error messages and stack traces by searching Stack Overflow and GitHub for relevant code fixes and explanations.MIT
- Read source code files from a repository for code review, debugging, and understanding implementation details.MIT
- Parse stack traces to identify root causes, get suggested fixes with code examples, and understand common error patterns for faster debugging.MIT
- Start a background Grok job for implementation, debugging, testing, or review. It can edit files and run commands in the working directory; poll the returned job ID for completion.MITDestructive
- Analyze code for unused variables, dead code, type errors, and syntax issues using native linters and compilers instead of LLM guessing. Supports TypeScript, Python, Rust, and Go.MIT
- Run Python, JavaScript, or TypeScript code in a secure sandbox, optionally install packages, and get output, errors, and execution time for testing or data processing.MIT
- Report app errors or retrieve error lists for development and debugging in Goose App Maker MCP applications.MIT
- Start, complete, or list collaborative work sessions between AI agents for tasks like code review, pair programming, and debugging.MIT
- Create and run a Kubernetes pod with a specified container image for one-off tasks, debugging, or testing. Supports custom commands, environment variables, and restart policy.Apache 2.0
- Automatically fix linting errors and warnings in source code to improve code quality and maintain consistency across projects.PythonMIT
- Execute code in multiple languages to test hypotheses before implementation, supporting both code snippets and shell commands with auto-runtime detection.MIT
- Builds and runs XCTest / Swift Testing on an iOS simulator, returning per-test results and compile errors.MIT