Enhancing MLO with an AI MCP Server for Smarter Integration (try 2)

[Daniel Clark]

I’m a dedicated user of My Life Organized (MLO) and love how it keeps my tasks in sync across Android, iOS, Windows, and soon the web. I also rely on Shortwave Email and the Bee AI Wearable, where I’ve been using an MCP Server (via [beemcp on GitHub](https://github.com/OkGoDoIt/beemcp)) to seamlessly integrate my email and Bee. This setup transforms email into an intelligent extension of my workflow, allowing AI to create todos in Bee from emails, reference past decisions, and understand my priorities—all without switching platforms. I’d love to extend this capability to MLO by adding an AI MCP Server, and I believe it could take MLO to the next level.

### What is an AI MCP Server?

The Model Context Protocol (MCP) is an open standard from Anthropic that lets AI models connect to apps and data sources through a universal interface. An MCP Server for MLO would expose its todo lists, priorities, and actions to AI assistants (e.g., in email or wearables), enabling them to read and interact with MLO data securely and efficiently. Learn more at Anthropic’s [MCP introduction](https://www.anthropic.com/news/introducing-the-model-context-protocol).

### Advantages for MLO

Adding an MCP Server would bring these benefits:

- **Context-Aware AI**: AI assistants could see my MLO todos and priorities, incorporating them into responses in email or other platforms.

- **Seamless Todo Creation**: I could create MLO todos directly from emails or conversations without leaving the app I’m in.

- **Unified Workflow**: The AI would understand my full thought process across MLO, email, and Bee, eliminating context loss.

- **Smarter Interactions**: By observing patterns in MLO, the AI could offer better suggestions and automate tasks based on my preferences.

This mirrors what I enjoy with Bee and email via beemcp: todos from emails, full conversation context, and a system that gets smarter by seeing my workflow holistically.

### How to Implement It

Implementing an MCP Server is straightforward with available resources:

1. **Understand MCP**: Check out the [MCP specification](https://modelcontextprotocol.io/spec) for details.

2. **Build the Server**: Use [MCP SDKs](https://docs.modelcontextprotocol.io/sdks) (Python, TypeScript, etc.) to expose MLO’s data and actions (e.g., read todos, create tasks).

3. **Secure It**: MCP includes authentication to ensure only authorized AI platforms access the data.

For inspiration, the [beemcp repository](https://github.com/OkGoDoIt/beemcp) shows how this works for Bee and could guide an MLO implementation.

### Why It Matters

An MCP Server would make MLO a central hub for AI-driven productivity, enhancing its value across my devices and platforms. I’d be thrilled to see this integration and am happy to discuss further.

Thanks for considering this!

-Danny

[imajeff]

1. you forgot to write (try 1) on your first post, Lol
2. It's not clear how this AI stuff will work considering the unwanted eternal hype where it has never been nearly as helpful as everyone selling something seems to claim... as well as my experience being that AI only works for typical, but it fails for me because I'm not typical. May I point out that MLO is not typical either.

On Saturday, July 5, 2025 at 8:18:14 AM UTC-6 Daniel Clark wrote:

I’m a dedicated user of My Life Organized (MLO) and love how it keeps my tasks in sync across Android, iOS, Windows, and soon the web. I also rely on Shortwave Email and the Bee AI Wearable, where I’ve been using an MCP Server (via [beemcp on GitHub](https://github.com/OkGoDoIt/beemcp)) to seamlessly integrate my email and Bee. This setup transforms email into an intelligent extension of my workflow, allowing AI to create todos in Bee from emails, reference past decisions, and understand my priorities—all without switching platforms. I’d love to extend this capability to MLO by adding an AI MCP Server, and I believe it could take MLO to the next level.

### What is an AI MCP Server?

The Model Context Protocol (MCP) is an open standard from Anthropic that lets AI models connect to apps and data sources through a universal interface. An MCP Server for MLO would expose its todo lists, priorities, and actions to AI assistants (e.g., in email or wearables), enabling them to read and interact with MLO data securely and efficiently. Learn more at Anthropic’s [MCP introduction](https://www.anthropic.com/news/introducing-the-model-context-protocol).

 [...]

[Daniel Clark]

All I can say is that so far the AI from my Bee Wearable (http://bee.computer) combined (via MCP) with Shortwave email has been amazing. It knows about most things I say and write, plus records family history etc. I recently realized how valuable this will be after people I love pass away - I'll have access to facts about family history I'd be unlikely to write down or remember otherwise. And it is good at answering questions based on this knowledge base.

The only thing I find annoying is that I now have multiple places with TODOs. Hence the suggestion.

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[imajeff]

Now, I'm in no way speaking for the MLO team. I have nothing against anyone trying to make good use of modern AI, I've been studying AI since the 80's and it's only that I understand the problems apparently better than those who said basically we developed it but we don't know how it works.

MLO team is doing it of course. You should look for the recent conversation on https://groups.google.com/g/mylifeorganized/

where they have already responding to the question and said they are working on the Web version of MyLifeOrganized, it was already announced that will have a good API, but they said that will be the API to support AI integration. 

Fingers crossed, we'll see how it goes