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Create, edit, run, and publish Python tools as MCP services.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dd-arch" yet — see the docs or source repo.
Help me design an implementation plan to wrap a Python data-cleaning script as an MCP tool, including input/output schema, error handling, logging, and steps to expose it over Streamable HTTP.
An actionable packaging and deployment plan showing how to turn the script into a callable MCP tool.
I want to build a management platform where my team can create, edit, and run Python tools in a web UI. Provide system architecture, access control, versioning, and deployment recommendations.
A complete platform design recommendation covering architecture, permissions, versioning, and deployment.
Create a standardized workflow for developing Python tools with dd-arch, covering coding, testing, release, rollback, and monitoring, and include example templates.
A reusable team workflow for tool development and operations, plus example templates.
Manage AV projects, clients, and orders in D-Tools using natural language.
Access 100+ AI tools via AADDYY API for creation and problem solving.
Analyze software architecture through natural language exploration of components and data flows.
Render, validate, format, and inspect D2 diagrams through MCP.
Create and run custom multi-language tools dynamically for MCP clients.
Analyze codebase architecture, inspect dependencies, and generate interactive visual diagrams.