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520,779 tools. Updated 2026-09-06 09:34

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  • Verified, version-pinned answers about fast-moving frameworks for coding agents.

  • Verified, version-pinned Expo SDK docs for coding agents over remote MCP.

  • List all 71 programming languages and their IDs for code execution, with compiler/interpreter versions. Filter by language name to find specific entries.
    MIT
  • Get a behavioral commitment profile for any Go module: age, version count, publish cadence, GitHub contributors, stars, OpenSSF Scorecard. Use to vet dependencies and assess supply chain risk.
    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
  • View all supported programming languages and their guideline categories to discover available coding standards and best practices for each language.
    MIT
  • Returns aggregate statistics for a repository, including total file count and a breakdown by programming language. Use this to understand the tech stack and codebase scale.
    MIT
  • Discover all programming languages supported by the sandbox and their corresponding Docker images to ensure valid language input for code execution.
    MIT
  • Find beginner-friendly open-source issues labeled 'good first issue' for a specific programming language. Returns up to 15 recently created issues from public repositories.
    MIT
  • Compare technologies like frameworks, libraries, databases, or programming languages side-by-side. Automatically gather structured information to support informed decision-making.
    MIT
  • Returns a testing template tailored to the source file's framework, including baseline scenarios and test file path patterns. Falls back to language baseline if framework is unrecognized.
    MIT
  • Get current project information—name, language, framework, root directory, and Git status—to establish a clear working context.
    MIT
  • Analyze repository language composition to identify programming languages used and their percentages, helping developers assess required skills before contributing to open-source projects.
    MIT