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299,330 tools. Last updated 2026-07-14 20:24

"namespace:io.github.maryadawson-code" matching MCP tools:

  • 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
  • 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
  • Retrieve CosmWasm code metadata (creator, checksum, instantiate permissions) by code ID across Initia L1 and Miniwasm L2 chains.
    Apache 2.0
  • Analyze code-database dependencies to assess impacts before implementing changes. Use this tool to identify which code relies on specific database objects or how database changes affect code. Essential for validating AI-suggested modifications or SQL code updates.
    Mozilla Public 2.0

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  • Retrieve basic stock information: code, name, IPO date, delisting date, type, and status. Input a stock code to get these details.
    MIT
  • Record code decisions, domain rules, and gotchas to preserve the 'why' that reading code cannot recover. Automatically retrieved in future sessions for context.
    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
  • List available workflows to discover automations. Returns workflow names, descriptions, and required parameters for efficient selection before writing custom code.
    MIT
  • Analyze code files for security risks by comparing structural patterns against known dangerous code to prevent malicious execution.
    MIT
  • Compares two versions of code to identify improvements, regressions, and neutral changes. Returns a merge recommendation for code review and refactoring validation.
    MIT
  • Analyzes cached source files to identify structural code smells. Automatically infers the programming language and highlights problematic patterns.
    MIT
  • Search source code with AST context to understand how matches fit within functions, classes, and code structures.
    MIT