Construct with MCP Server?

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  • Just a random discussion about AI models.

    MCP (Server) is a hot topic recently. It can connects desktop applications and AI through "Model Context Protocol" to achieve tool automation.

    claudemcp.com

    This is an interesting application combined with productivity tools that I have seen recently.

    - Blender: github.com/ahujasid/blender-mcp

    - Unity: github.com/CoderGamester/mcp-unity

    Of course, I don't know if this can really help creators solve some practical problems. It's just making something that looks very beautiful but is completely different from what I need.

    However, it may be helpful in some special scenarios, especially for dealing with some mechanical, repetitive and boring operations.

    I think this also applies to Construct. And it has an advantage because everything in Construct is in JSON, which is very easy to read by AI. And It looks like its technology stack is very suitable for Construct, such as use typescript

    Imagine having AI in Construct help me automate some things:

    - Search Construct documentation, forums, and find solutions or discussions for me.

    - Import multiple files as different sprites

    - Batch rename sprite animation tables, add labels, add image points, collision polygons.

    - Handle the tedious work of timelines and flowcharts

    - Batch add comments to event tables

    - Quickly insert some cheatsheet template events

    - Write a general Function to process Construct's Array, JSON, and dictionary objects

    If Scirra officially does this, it can also integrate its own AI model package and provide subscribers with a certain amount of OpenAI, Claude, Deepseek, Gemini, etc. quotas every month. It also supports users to connect their own API keys and service interfaces.

    -

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  • I'm interest in this too (I'm just about to try the Blender MCP server out when I get a chance!).

    There was a good discussion recently here:

    construct.net/en/forum/construct-3/general-discussion-7/chatgpt-trouble-construct-184946

    I think the main problem is the lack of a large corpus of quality data upon which an LLM could be trained.

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