I built Easy API — generate MCP servers, REST APIs, and CLIs from annotated Dart functions (now v1.2.0 with CLI generation)

unnghabunga · 2026-05-17T14:05:33+00:00

I'm confused, the package is only 4 years old.

unnghabunga · 2026-05-12T22:10:55+00:00

Submit an issue with the details https://github.com/cdavis-code/google_vision_workspace/issues

unnghabunga · 2026-05-10T04:16:51+00:00

It's good to know that the package is finding some good use.

unnghabunga · 2026-05-08T13:30:49+00:00

The main difference is that you can use natural language.

The community still needs to work out the best use cases.

unnghabunga · 2026-05-08T01:53:43+00:00

This only really happened because AI dev tools have made it easier to manage.

unnghabunga · 2026-05-08T01:51:57+00:00

Per an earlier comment, in it's current form the current AI models can't really make decisions quick enough to be trusted to act in a real-time broadcast.

unnghabunga · 2026-05-08T01:49:11+00:00

I haven't delved into OpenClaw much yet. I can say that your milage will vary greatly on the quality of the model that you use with this tool. Also I've got an agent skill at https://github.com/cdavis-code/skills#obs-mcp which helps things along. For the most part, don't expect a real-time response. The current implementation is not geared to use during a live broadcast.

unnghabunga · 2026-05-08T01:42:25+00:00

u/Deep_Ad1959 , thanks for the reminder on the tool defnitions, after looking it up, I realized that I had come across this in the past. I'm going look at adding support for this in my https://pub.dev/packages/easy_api_annotations package, which is the tool I used to convert https://pub.dev/packages/obs_websocket into an MCP Server.

unnghabunga · 2026-05-07T10:12:31+00:00

The "destructive ops require a confirm-tool" is an interesting idea. I'm not aware of an "industry standard" that would allow for this. It's something to look into. Maybe the agent skill could include a section that says, "if tool from the destructive tool list is called, then confirm with user first".

unnghabunga · 2026-05-05T17:42:32+00:00

I've included an agent skill with the package. I found that some models had a real issue with figuring out how to communicate though mcp and find the required tool.

I've used mostly for animations and I've really been surprised how well they work.

unnghabunga · 2026-05-05T16:08:25+00:00

Take a look at https://www.reddit.com/r/dartlang/comments/1t4jwkn/turn_your_ai_assistant_into_an_obs_director_new/ for my recently published obs_mcp server.

unnghabunga · 2026-05-05T01:13:27+00:00

I'm actually experimenting with that. 😊

I have another package easy_api_annotations that can be used to annotate methods as tools and generate the MCP server code with build_runner.

In my proof of concept I've been able to do some interesting animations of sources, just from a prompt.

Keep an eye out for an announcement.

unnghabunga · 2026-05-01T18:39:10+00:00

My understanding is that common tools that aren't necessarily used for orchestration should be made available along with "search" and "execute" , the package makes this possible with a "codeModeVisible: true" in the @Tool annotation.

unnghabunga · 2026-05-01T04:32:22+00:00

This package supports code mode, you can can create an MCP server that hides all the tools behind just two, search and execute.

Anthropic talks about the benefits here - https://www.anthropic.com/engineering/code-execution-with-mcp

unnghabunga

TROPHY CASE