List all 71 programming languages and their IDs for code execution, with compiler/interpreter versions. Filter by language name to find specific entries.
MIT
248,332 tools. Last updated 2026-06-29 12:06
"Understanding Code Execution in Programming" matching MCP tools:
- Execute Pylpex code to evaluate custom programming language expressions and functions, returning computed results.MIT
- Execute source code in a sandboxed environment supporting 71 programming languages. Returns stdout, stderr, execution time, and memory usage with CPU/memory limits.MIT
- Read source code files from a repository for code review, debugging, and understanding implementation details.MIT
- Submit a code snippet and specify its programming language to receive an automated code review.MIT
- Execute code in the specified language and receive the output from the Piston remote execution engine.MIT
Matching MCP Servers
- Alicense-qualityBmaintenanceProvides a sandboxed Docker environment for executing Python code against API endpoints, exposing tools for discovery, inspection, execution, and reuse.Last updated10MIT
- Alicense-qualityDmaintenanceAn MCP server that analyzes local or remote GitHub repositories, providing intelligent code context and structure to AI coding assistants.Last updated13MIT
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- Retrieve programming languages available for code analysis in GitLab Review MCP to identify which languages can be reviewed for quality and security.MIT
- Query code patterns from the knowledge graph using optional filters for programming language and pattern name.MIT
- Generate and execute code from natural language prompts using Gemini's built-in execution environment.MIT
- Discover and analyze code patterns across programming languages within a knowledge graph. Filter results by language or pattern name to enhance code understanding and retrieval.
- Execute code in Python, Node.js, or Go with automatic environment setup and timeout controls. Runs code in isolated, non-persistent environments for secure execution.
- Annotates source files to show executed lines and loop iteration counts, enabling understanding of code paths and branches run during debugging.
- Check code for indentation consistency and validate proper formatting, supporting multiple programming languages.Apache 2.0
- Detect the programming language of any source code snippet to identify its type quickly.Apache 2.0
- Beautify source code by applying proper indentation and formatting. Supports multiple programming languages through a language parameter.Apache 2.0
- Strip comments from source code. Specify the programming language to clean your code for analysis or transformation.Apache 2.0
- Search Bear notes for code examples by programming language and topic to find relevant code snippets for learning or implementation.
- Analyze and trace code execution paths with semantic understanding, identifying data flows and dependencies to debug complex distributed systems efficiently.MIT
- Apply programming paradigms to solve coding problems by selecting approaches like functional, object-oriented, or reactive programming for structured solutions.
- Apply different programming paradigms to solve coding problems, including imperative, functional, object-oriented, and reactive approaches, by structuring code with appropriate methodologies.