339,887 tools. Last updated 2026-07-30 07:19
"Understanding Code Execution" matching MCP tools:
- Read source code files from a repository for code review, debugging, and understanding implementation details.MIT
- 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.
- Analyze and trace code execution paths with semantic understanding, identifying data flows and dependencies to debug complex distributed systems efficiently.MIT
- 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
Matching MCP Servers
- AlicenseAqualityDmaintenanceExecutes Python code in isolated rootless containers while proxying MCP server tools, reducing context overhead by 95%+ and enabling complex multi-tool workflows through sandboxed code execution.Last updated1337GPL 3.0
- Alicense-qualityDmaintenanceEnables Claude Code to delegate tasks to OpenAI's Codex CLI (GPT-5.4) with structured execution traces, parallel execution, session persistence, and adversarial code review.Last updatedMIT
Matching MCP Connectors
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
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- 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
- Ask questions that require Python code execution for calculations or data analysis, using Groq compound models to generate and run code in real time.MIT
- 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
- Submit SAS code for asynchronous batch execution on SAS Viya. Retrieve job logs and output.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