Embracing AI and MCP in ABP Framework

[mgochmuradov]

🚀 Proposal: Add AI and MCP Integration to ABP Framework

Hi ABP Team! 👋

Generative AI is quickly becoming a core part of modern development workflows. Tools like GitHub Copilot, ChatGPT, and others are now deeply integrated into IDEs like Visual Studio. As one of the most robust .NET application frameworks, ABP is in a perfect position to lead in AI-enhanced development within the .NET ecosystem.

This proposal outlines how ABP could integrate with AI and the emerging Model Context Protocol (MCP) to make the framework more accessible, automatable, and AI-friendly — while preserving its architecture and best practices.

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🧠 Feature Proposals

1. ABP Instructions

Add a Agents.md or .github/copilot-instructions.md file to new projects created by the CLI or Studio. This file should include:

• ABP-specific best practices
• Architectural conventions
• Code generation patterns
• Recommended approaches for common tasks

This will help tools like GitHub Copilot or ChatGPT generate better-aligned code, acting as a "cheat sheet" for AI assistants.

GitHub already supports repository-level instructions to improve AI context.

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2. ABP Documentation MCP

Create an MCP (Model Context Protocol) server for ABP documentation.

Use case:

An AI assistant wants to add a distributed event using ABP v7.2. It queries the MCP server:
GET /docs?version=7.2&feature=distributed-event
It receives back the ABP-specific implementation guide.

This makes ABP’s documentation dynamically accessible to AI tools and ensures "AI-generated" code follows the framework’s standards.

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3. ABP CLI MCP

Expose the ABP CLI as an MCP-compatible endpoint.

Let AI call commands like:

• abp install-libs
• abp update
• abp generate module

This enables AI assistants to perform actual project modifications, installations, and more using natural language, without losing the ABP way.

Microsoft’s ModelContextProtocol SDK for C# already simplifies MCP server development for .NET tools.

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4. ABP Studio MCP

Enable MCP support in ABP Studio for:

• Creating new solutions
• Generating or modifying modules

This could be integrated with the CLI MCP or remain a separate endpoint depending on Studio’s internal architecture.

Use case:

"Create a new Order Management module with Order and Customer entities."

The AI sends the spec, and the Studio backend handles it via MCP.

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5. ABP Suite MCP

Expose ABP Suite's CRUD generation capabilities via MCP.

Use case:

The AI receives a user request:
“Create a Task entity with Title (string) and State (enum), and generate the CRUD UI.”

The MCP endpoint sends that to ABP Suite, which performs the code generation just like a human would using the GUI.

This allows AI to automate high-level code scaffolding in ABP while respecting its patterns.

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✅ Benefits

• Enables AI-assisted development that respects ABP architecture
• Boosts productivity with automation and context-aware generation
• Makes ABP a first-class citizen in AI tooling ecosystems (like GitHub Copilot, ChatGPT, and VS extensions)
• Brings ABP in line with other AI-integrated frameworks in .NET and beyond

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🙏 Thank You!

Thanks for considering this! I believe this would make ABP the go-to framework for developers building AI-powered .NET applications. Happy to elaborate on any of the ideas above or contribute where possible.

Looking forward to your feedback and thoughts! 😊

—
Contributor & ABP Enthusiast

[mgochmuradov]

By the way, this discussion was generated by ChatGPT, I have explained general ideas, and the rest is written by ChatGPT.
Complete answer is here:
Embracing AI and MCP in ABP Framework.pdf

[brauerj-gc]

Similarly we should create an ABP Github Copilot Extension! A GitHub Copilot Extension for ABP could streamline development by providing context-aware code suggestions, automated best practices, and instant documentation lookup—all within your IDE.

Benefits for ABP Developers

• Faster Development: Get instant code snippets and best practices without searching manually.
• Improved Code Quality: Ensure adherence to ABP conventions effortlessly.
• Seamless Learning: New developers can onboard quickly with AI-powered guidance.