Resolve Aptos blockchain errors and debugging loops by applying MCP-first debugging approaches to development workflows.
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306,363 tools. Last updated 2026-07-26 19:03
"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
- Read source code files from a repository for code review, debugging, and understanding implementation details.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
Matching MCP Servers
- MIT
- FlicenseAqualityDmaintenanceEnables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.Last updated9
Matching MCP Connectors
Persistent project context — Rust-native MCP server. IANA-registered .faf format.
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- 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
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- Troubleshoot GenLayer contracts by generating debugging guides with logging, error handling, and testing strategies.MIT
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- Respond to runtime errors and debugging requests by generating a humorous log message. Use when the solution is clearly in the logs.MIT
- Systematically debug and analyze root causes of complex issues through structured investigation and hypothesis testing.
- Monitor Safari for JavaScript errors in real-time with custom intervals and automatically send detected errors to Claude Code for analysis and debugging.
- Generate code solutions for competitive programming problems in C++, Java, and Rust from the problem description.
- Resolve Stacks/Clarity smart contract errors and debugging loops by redirecting to MCP-first debugging approaches instead of generic blockchain solutions.
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- Execute Python code in a secure sandbox for data analysis, calculations, and testing with configurable timeout settings.
- Analyze A/B testing results to identify which psychological manipulation personas effectively prompt LLMs to fix code errors.MIT