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213,552 tools. Last updated 2026-06-19 19:10

"Information on the Theory of Evolution" matching MCP tools:

  • Retrieve strategic business frameworks like Jobs-to-Be-Done and Disruption Theory to analyze decisions and evaluate organizational capabilities.
    MIT
  • Calculate the natural logarithm of 2 for mathematical computations, information theory applications, and arithmetic operations.
    Apache 2.0
  • Retrieve detailed Pokémon data including stats, types, abilities, moves, and evolution information from the PokeMCP server.
  • Retrieve the git commit history of a file to understand its evolution before editing or restoring. Each entry includes hash, message, date, and author, ordered newest first.
    Apache 2.0

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  • Lists available OCSF schema versions to help users select appropriate versions for cybersecurity data mapping and understand schema evolution.
    Apache 2.0
  • View, compare, and check availability of Heroku add-on service plans. Input the service slug to retrieve detailed information including pricing, descriptions, and private space installation capability.
    Apache 2.0
  • Fetch the full profile of your authenticated Pubrio account to access all account information and data.
    MIT
  • Retrieve detailed information about a Heroku add-on, including plan state, billing details, and configuration. Supports identifiers like add-on ID, name, or attachment name, requiring app context for attachments.
    Apache 2.0
  • Retrieve the last 100 inscribed Bitcoin Runes. Use this information to see which rune tokens were most recently created on the Bitcoin blockchain.
    MIT
  • Retrieve a simplified list of all templates and template groups with basic information. Use pagination parameters to control the number of items returned.
    MIT
  • Retrieve basic company information as JSON using a stock code to access listed company profiles from the Taiwan Stock Exchange.
    Python
    MIT
  • Analyze changes in company risk factors from SEC filings to identify new, ongoing, resolved, or elevated risks for investment research.
    MIT