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133,426 tools. Last updated 2026-05-25 17:40

"Techniques for Writing Strong Code in C++, Rust, and Python" matching MCP tools:

  • Execute Python or JavaScript code in a sandbox to test scripts, debug algorithms, or run isolated code snippets safely.
    MIT
  • Run Python code directly in FreeCAD to control its functionality. Returns execution status, output, and object screenshots for integration and automation tasks.
    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
  • Generate complete Midtrans Core API integration code in Python, JavaScript, Go, or Rust. Includes charge transactions, webhook handlers with signature verification, refunds, and subscription management with full implementation details.
    MIT
  • Validate Stylus Rust code for smart contracts by running cargo check to detect compilation errors and provide structured fixes with line numbers and guidance.
    MIT

Matching MCP Servers

  • A
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    quality
    C
    maintenance
    Enables execution of Python code in a safe environment, including running scripts, installing packages, and retrieving variable values. Supports file operations and package management through pip.
    Last updated
    8
    Apache 2.0
  • A
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    quality
    C
    maintenance
    Headless MCP server for Simpson Strong-Tie product data. Provides AI agents with structural connector lookups, load calculations, code compliance verification, and engineering specifications.
    Last updated
    MIT

Matching MCP Connectors

  • Validate C# code compilation without writing to disk. Check AI-generated code for errors before applying changes using Roslyn compiler analysis.
    MIT
  • Scan project directories for CVE vulnerabilities by detecting npm, Python, Go, and Rust manifests, querying live OSV.dev data to generate structured vulnerability reports with severity counts and fix recommendations.
    MIT
  • Execute predefined development tool presets like test runners and linters for JavaScript, Python, Rust, and Go projects to automate code quality checks.
  • Execute source code in a sandboxed environment supporting 71 programming languages. Returns stdout, stderr, execution time, and memory usage with CPU/memory limits.
    MIT
  • Run Python code securely in a WebAssembly sandbox to execute scripts and return output. Supports pure Python without external dependencies.
    Apache 2.0
  • Find the declaration location of a symbol across TypeScript, JavaScript, Python, Go, and Rust files. Returns file path, line range, and declaration text. Requires prior project indexing.
    MIT
  • Retrieve test files associated with a source file using static lookup across supported languages: Go, Python, TypeScript, JavaScript, and Rust.
    MIT
  • Execute Python code in a sandboxed environment based on natural language prompts. Generate and run code, then return both the code and execution results.
    MIT
  • Run Python code against a loaded context in a sandboxed subprocess for secure data analysis. Set the result variable for output. Optional timeout and security checks.
    MIT
  • Analyze code for unused variables, dead code, type errors, and syntax issues using native linters and compilers instead of LLM guessing. Supports TypeScript, Python, Rust, and Go.
    MIT
  • Execute Python code in a persistent REPL environment with variable retention between runs. Use this tool to run Python scripts, test code snippets, and maintain state across multiple executions.
    MIT