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625,687 tools. Updated 2026-10-01 00:03

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

  • Retrieves browser console logs (errors, warnings, GM_log) to diagnose script runtime errors after reload. Saves full log to .customaise/console-context.json, or returns inline without a file.
    MIT
  • Read the machine runtime manifest JSON (version, role, door=fraggate, engine slugs, registry_digest) when a client needs machine configuration, not human how-to.
    Apache 2.0
  • 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
  • Retrieve errors and warnings for code files to identify syntax errors, type mismatches, and other issues detected by the language server. Returns diagnostics for all open files if no file path is provided.
    MIT
  • Check a Deed program and report compiler diagnostics and contract obligation tiers: proven, tested, or guarded.
    Apache 2.0
  • Trace the evolutionary history of an evaluated program. Use this to understand how a strong result was achieved and select prior changes for closer analysis.
    Apache 2.0

Matching MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    A unified developer toolkit for AI-assisted workflows. Task timing, doc drift detection, env validation, secret scanning, port conflict resolution, AI context generation, and license auditing — one MCP server, one install.
    7
    3
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.
    MIT

Matching MCP Connectors

  • Aziel Runtime MCP server

  • Governed MCP: agent audit, provenance, deterministic checks, and receipt-backed FragGate execution.

  • Set up a webhook to receive real-time notifications when events occur in Speak AI, enabling automated responses to transcriptions and insights.
    MIT
  • Read live Godot runtime output—script errors, stack traces, warnings, and prints—to identify and fix issues during play-testing.
    MIT
  • Verify Polarion authentication and connection status to diagnose login issues, confirm setup before exploration, and troubleshoot when other tools return errors.
    MIT
  • Retrieve real-time BEAM runtime health stats: memory, schedulers, processes, ports, atoms, uptime, and IO throughput to identify performance issues and monitor system stability.
    MIT
  • Check if the server is signed in to Google and identify the active account. Use this first when authentication errors occur to diagnose access issues.
    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
    Destructive
  • Verify SketchUp MCP runtime compatibility by returning server version and Python↔Ruby verdict, even when other tools surface errors.
    MIT
  • Retrieve the list of OBS scenes and identify which scenes are currently set as program and preview.
    MIT
  • Read recent ActionD runtime logs to inspect raw plugin output and system events after a failed action. Use to identify errors before running diagnosis.
    MIT
  • Evaluate JavaScript expressions in a specific call frame or global context to inspect variables, test logic, and understand program state during debugging.
    Apache 2.0
  • 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