Generate code solutions for competitive programming problems in C++, Java, and Rust from the problem description.
-
552,694 tools. Updated 2026-09-12 13:52
"Techniques for Writing Strong Code in C++, Rust, and Python" matching MCP tools:
- Execute Python code in a secure sandbox environment for calculations and data manipulation. The tool runs simple Python scripts with restricted imports and returns results with logs.MIT
- Search the exported FLOX C-API surface from the ABI snapshot to get function names, return types, and parameter types. Use it when writing FFI bindings or checking which C symbols are callable.MIT
- Scan code snippets for security vulnerabilities across 11 languages and IaC. Obtain severity ratings, fix suggestions, and a security score.MIT
- Retrieve detailed information about embedded TouchDesigner techniques, including optional code snippets and setup/workflow guidance.MIT
- Scan Python code with Bandit to uncover security vulnerabilities including SQL injection, hardcoded secrets, and unsafe functions.MIT No Attribution
Matching MCP Servers
- AlicenseAqualityAmaintenanceValidates AI-generated Python: syntax, lint, security scan and deterministic repair.3MIT
- AlicenseNot gradedqualityDmaintenanceHeadless MCP server for Simpson Strong-Tie product data. Provides AI agents with structural connector lookups, load calculations, code compliance verification, and engineering specifications.MIT
Matching MCP Connectors
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
Security + bug + perf + refactor audit for Python. Returns 0-10 score + MD report.
- Generate C code for a complete B project from a top-level component, outputting to the lang/c directory. Supports C9X, LIGHT, and PROJECT profiles.AGPL 3.0
- Execute Python code in a restricted subprocess to deterministically verify math, logic, and code analysis tasks using symbolic engines.Apache 2.0
- Retrieve the active Python execution environment for new code cells in Circuitry's visual workflow platform.-
- Generate C code for a single B component by specifying project and component names, with optional C9X, LIGHT, or PROJECT profile selection. Output goes to lang/c directory.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
- Scan source code with Semgrep to find security vulnerabilities, bugs, and anti-patterns. Supports multiple languages including Python, JavaScript, Java, Go, C, C++, Ruby, and more.MIT No Attribution
- Execute Python code and retrieve output. Variables persist across runs for stateful workflows.MIT
- Check Python code before writing it to disk: parse, lint, type-check, and scan for security issues and credentials without running untrusted source.MIT
- Access Agno SDK documentation to build AI agents in Python. Guides cover agents, tools, memory, knowledge, teams, and workflows.MIT
- Extract a structural outline from Python files—imports, classes, functions, docstrings—to simplify code review, navigation, and documentation.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
- Retrieve SDK code examples for building Agno agents. Provide a category such as agents, tools, or memory to get complete, runnable Python code.MIT
- Scan a repository for potential bugs using AST pattern matching across 10 languages. Detects issues like mutable default arguments, bare excepts, unreachable code, and empty catch blocks.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