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347,315 tools. Last updated 2026-07-31 01:17

"How to identify when runtime errors occur in a program" matching MCP tools:

  • Identify and troubleshoot DAG files that failed to parse or load in Apache Airflow. Returns import error details including stack traces, file paths, and timestamps to help diagnose missing imports, syntax errors, and module issues.
    Apache 2.0
  • Submit Task 1 of orientation to identify errors in a contribution draft using structured error formats: variable_not_referenced, empty_required_field, and value_out_of_range.
    MIT
  • Set up a webhook to receive real-time notifications when events occur in Speak AI, enabling automated responses to transcriptions and insights.
    MIT
  • Spawn a Clanker coding agent with a prompt and backend lane, returning an ID for progress polling. Setup errors are caught immediately; runtime errors surface during polling.
    MIT
  • Retrieve diagnostic messages, including errors and warnings, for code files to identify syntax errors, type mismatches, and other issues. Without a file path, returns diagnostics for all open files.
    MIT

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    Enables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.
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  • Send desktop notifications with error sounds when code operations fail, including compilation errors, test failures, file operation issues, network request problems, validation errors, or bash command failures.
    MIT
  • Retrieve Metro bundling errors during React Native app compilation, with automatic screenshot fallback when no errors are captured via CDP.
    MIT
  • Retrieve and analyze a specific ABAP runtime dump by its ID, returning a parsed JSON payload with key facts like exception, program, and user.
    MIT
  • List and filter registrations by program, child, or school to identify enrolled participants, a child's programs, or a school's active registrations.
    MIT
  • Traces how Magento resolves a PHP class or interface by parsing di.xml files to find preferences, plugins, virtualTypes, and constructor overrides, aiding in debugging dependency injection errors.
    MIT
  • Retrieve the content of a specific log file from the runtime directory to debug errors and investigate problems.
    MIT
  • Lint Python code to identify style violations and potential errors using RUFF. Optionally specify a configuration file.
    MIT
  • Compile and simulate Verilog designs with testbenches using Icarus Verilog to validate FPGA logic and identify runtime errors through displayed output.
    MIT
  • Retrieve runtime logs and errors from Vercel deployments to debug serverless and edge functions that misbehave in production.
    MIT