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213,558 tools. Last updated 2026-06-19 19:34

"Guidance and Resources for Business Central Development" matching MCP tools:

  • Discover available Aptos development resources to identify relevant guidance for blockchain projects. Use this tool to explore options before selecting specific documentation.
    Apache 2.0
  • Find tailored staking integration solutions for custodians, exchanges, asset managers, banks, and fintech. Get guidance specific to your business type.
    BSD 3-Clause
  • Get expert answers to Microsoft Business Central development questions. Specialists provide guidance on debugging, coding, upgrades, and testing challenges.
    MIT

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  • Retrieve structured workflow information for Stylus development, including step-by-step commands for build, deploy, and test operations to guide development processes.
    MIT
  • Provides structured guidance for MCP server development with deterministic recommendations and working code patterns based on specified topics.
    MIT
  • Get comprehensive guidance for Dojo and Cairo development on Starknet. This tool provides expert assistance for building onchain worlds using the Dojo Entity Component System framework.
    MIT
  • Use Exa.ai to research software development topics. Provide a detailed research question or problem to get current information and practical implementation guidance.
    TypeScript
    MIT
  • Create a Business Central Docker container for sandbox or on-premises testing, with configurable version, test toolkit, localization, and credentials.
    MIT
  • Removes a Business Central Docker container by its name. Use this action to delete sandbox containers when they are no longer needed.
    MIT
  • Get answers to Stylus development questions, debug code issues, or understand concepts with version-specific guidance for smart contract creation.
    MIT
  • Retrieve items from Business Central with flexible filtering and pagination. Specify resource, filter, top, and skip parameters to get the exact data you need.
    MIT
  • Retrieve separation principles for presenting model explanations alongside business context to combine deterministic outputs with AI-interpreted guidance.