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133,981 tools. Last updated 2026-05-25 18:03

"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
  • 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
  • Execute code in multiple languages to test hypotheses before implementation, supporting both code snippets and shell commands with auto-runtime detection.
    MIT
  • Check source code for errors and warnings to improve code quality and catch issues early in development.
    Python
    MIT

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  • Validate ABAP structure syntax for active, inactive, or hypothetical DDL code. Returns errors, warnings, and messages.
    MIT
  • Perform syntax check on ABAP classes. Validate active, inactive, or hypothetical source code to identify errors, warnings, and messages.
    MIT
  • Execute predefined queries within CData Sync jobs for testing or ad-hoc operations. Run existing task queries to validate data synchronization workflows and connections.
    MIT
  • Retrieve AntV documentation, code examples, and best practices for implementation, debugging, learning, or task handling. Supports g2, g6, l7, x6, f2, s2, g, ava, adc libraries.
    MIT
  • Perform syntax validation on ABAP tables—active, inactive, or new DDL code. Receive syntax errors, warnings, and messages.
    MIT
  • Access API request logs for auditing, debugging, and compliance in CData Sync. Retrieve logs, count requests, or get specific details to monitor data synchronization operations.
    MIT
  • Analyze code by providing code and a specific question to a local LLM. Receive targeted answers about code behavior, errors, or improvements.
    MIT