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339,887 tools. Last updated 2026-07-30 07:19

"Understanding Code Execution" matching MCP tools:

  • Annotates source files to show executed lines and loop iteration counts, enabling understanding of code paths and branches run during debugging.
  • Trace code execution flow or map structural dependencies to analyze method calls, call chains, and architecture.
  • Retrieve logs for a specific task execution. View stdout, stderr, error messages, and timing info to debug failures. Specify DAG, run, task, try number, and map index.
    Apache 2.0
  • Generate or modify code files with smart diffs. Provide file path and detailed prompt to create or edit files using context for accurate code generation.
    MIT

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  • Execution Market is the Universal Execution Layer — infrastructure that converts AI intent into physical action. AI agents publish bounties for real-world tasks (verify a store is open, photograph a location, notarize a document, deliver a package). Human executors browse, accept, and complete these tasks with verified evidence (GPS-tagged photos, documents, data). Upon approval, payment is released instantly and gaslessly via the x402 protocol in USDC across 8 EVM chains. Key cap

  • Finds real, maintained open-source repos that fit your project. MCP grounding for coding agents.

  • Loads database schema metadata to visualize table relationships and foreign keys, aiding in understanding join structures before writing queries.
    Apache 2.0
  • Retrieves task prompts with descriptions and technical data from Webvizio MCP Server to facilitate proper understanding and execution of development tasks when provided with a task UUID.
    MIT
  • Identify uncalled functions (dead code) in Solidity contracts to clean up unused code or improve code coverage. Supports filtering by entry points, inherited functions, and test frameworks.
    AGPL 3.0
  • Retrieve the DS2 execution code generated for a decision flow by providing its UUID. Use this code to understand or replicate the logic.
    Apache 2.0
  • Run Python code directly within DaVinci Resolve to automate tasks, manipulate timelines, manage media, and control Fusion operations through script execution.
    MIT
  • List all 71 programming languages and their IDs for code execution, with compiler/interpreter versions. Filter by language name to find specific entries.
    MIT
  • Retrieve system environment details including OS, Python version, installed libraries, and execution mode before generating code. Helps tailor code to the current setup and avoid errors.
    MIT
  • Execute Python code with automatic retry and intelligent error analysis. On failure, it diagnoses the error, searches past solutions, and suggests fixes for robust execution.
    MIT
  • Validate DazScript code for anti-patterns that cause crashes or timeouts, providing static analysis errors and suggestions before execution.
    MIT
  • View or update code execution configuration: adjust execution mode, timeout, retries, auto-install, and Docker image.
    MIT
  • Run Python code in the napari server interpreter. Executes code with persistent namespace including viewer, napari, and np, returning the result's string representation.
    BSD 3-Clause
  • Analyze code files to identify top-level symbols and their structure, providing a quick overview for understanding new codebases or files.
    MIT