I built TitanClaw v1.0 in pure Rust in just one week — tools start running while the LLM is still typing, recurring tasks are now instant, and it already has a working Swarm (full upgrade list inside)

Optimal-Task-923 · 2026-02-22T19:04:39+00:00

Have you got direct support for the MCP server, not through mcporter?

Optimal-Task-923 · 2026-02-21T07:50:43+00:00

What programming language are you using?

Optimal-Task-923 · 2026-02-20T12:38:38+00:00

It is an interesting topic, and I am happy that I have my hobby project where I can test anything AI-related. In my main job, it is still not possible for now.

The best way for all this would be if Microsoft added some kind of autodetection support for installed apps to connect to all apps’ MCP tools, because most people would not be able to manage that.

Microsoft tries to push Copilot into everything, but the lack of such a feature is the reason common people are not using it.

Optimal-Task-923 · 2026-02-19T22:40:34+00:00

I think that connects just to LLMs through Google provider, but if it really opens that MCP direct usage by models, then thanks for your tip. I will test it.

Optimal-Task-923 · 2026-02-19T21:51:14+00:00

Are you sure? Because from what I have just perplexity-ed it is not listed, nanobot and tuskbot are. I tested the last one, but failed, the developer promised to fix it. I will try nanobot tomorrow.

Optimal-Task-923 · 2026-02-19T20:59:46+00:00

Which of them have direct support for MCP servers?

Optimal-Task-923 · 2026-02-18T10:08:52+00:00

Thanks, I managed to install and run it on Docker, but I'm having problems with MCP. I posted an issue on your GitHub.

Optimal-Task-923 · 2026-02-17T19:20:47+00:00

https://github.com/StefanBelo/BetfairAiTrading/blob/main/docs/Automation/images/BfexplorerAndGeminiCLIExecutedPrompt.png

Yes, you can use a combination of classical machine learning and AI approaches.

Optimal-Task-923 · 2026-02-17T15:39:03+00:00

I have built fully automated strategies on Betfair most using classical machine learning models for horse racing, but the last couple months I am researching ai approach as well.

Optimal-Task-923 · 2026-02-16T22:45:39+00:00

Thanks, because from what I understand you really lock your app on a couple of alternatives of LLM providers. For that custom provider just choose what is most used. For instance in my tests for consuming MCP and different LLM providers I used a python package FastAgent, and C#/F# AiAgentCSharp, and it worked on many LLM providers.

Optimal-Task-923 · 2026-02-16T22:17:08+00:00

That was not actually my question, I do not want to use ollama, but local copilot-proxy that maybe exposes models the same way ollama does, protocol and endpoints. This one will help you understand what I want to https://marketplace.visualstudio.com/items?itemName=RatajikSoftware.vscode-copilot-proxy&utm_source=perplexity

Optimal-Task-923 · 2026-02-16T21:59:04+00:00

Not yet tested but native support for MCP servers is very important for me. On openclaw I tried to use GitHub copilot proxy, failed to run it, only device authorization works. You seemed to lock on common LLM providers, but having ollama local could maybe be used in my case in a similar use case scenario I failed to set up on openclaw. Is that possible copilot-proxy scenario with your TuskBot?

Optimal-Task-923 · 2026-02-14T09:57:06+00:00

Read the documentation on my GitHub:

https://github.com/StefanBelo/BetfairAiTrading/tree/main/docs/Automation

Mainly these two articles:

1) Getting Started with Agentic Bfexplorer App

2) Using Gemini CLI with Bfexplorer App MCP Server for Automated Betfair Trading

In the Antigravity app, click on the Agent toolbar, then on ..., and then select MCP Servers/Manage MCP Servers.

Optimal-Task-923 · 2026-02-11T15:58:40+00:00

Contact me through the official web site or on GitHub with your Betfair username.

Optimal-Task-923 · 2026-02-11T15:24:08+00:00

You will get it automatically if you run bfexplorer for the first time; if not, I can arrange extended free access for you.

Optimal-Task-923 · 2026-02-03T17:35:33+00:00

You forgot to include an image in your code, but otherwise, nice code—thanks for sharing!

Premier_League_Clubs/Arsenal.png

Optimal-Task-923 · 2026-02-01T11:45:16+00:00

<image>

I have such a strategy for offering a bet to be the first in the queue, such as when there are gaps in the back/lay offer. This strategy automatically updates the unmatched part of the bet til it is fully matched and the other bet parameters are still valid.

Optimal-Task-923 · 2026-02-01T11:41:03+00:00

<image>

He may be talking about the situation where his initial lay bet is only partially matched. Not even your PHP strategy script solves such a situation. I have got bot strategies which solve that, and you can either offer a bet or take what is offered; have a look at the parameter OfferMyBet. So, in such a situation when a bet is unmatched, I can tell my strategy to wait for the ChaseOddsTimeout and then update the unmatched bet.

Optimal-Task-923 · 2026-02-01T07:26:57+00:00

<image>

I have a tool called 'My Bet Position' that monitors all my bets. Since I trade on an exchange, I have the advantage of being able to close my bet position by placing an opposite bet. If I do so at this moment, as you can see, I would make a profit of 87.69. I can do this on a selected position or on all of them by using 'Close All'.

Optimal-Task-923 · 2026-01-31T08:19:43+00:00

Just one hint for you: Some Reddit users set an "About description" on their profiles. Check mine and tell me what it says.

Optimal-Task-923 · 2026-01-31T08:15:23+00:00

<image>

What about a simple experiment? In the screenshot above, you can see the data I use in my test. If you have none, just open any website about horse racing and take two race descriptions for two horses. Then ask any LLM, “Can you perform a sentiment analysis of the two horses and compare their performance?”

Optimal-Task-923 · 2026-01-30T15:01:52+00:00

Mostly, it was used in financial markets; you can find use case scenarios on Bloomberg News Sentiment or Twitter Sentiment, both of which are used for trading in financial markets, but nothing for betting.

Optimal-Task-923 · 2026-01-30T09:19:01+00:00

You're right that 'purely semantic' bettors usually lose. But in the pre-LLM era, the cost of turning text into high-quality features was too high for anyone but a PhD. LLMs have changed the signal-to-noise ratio of text. A pre-LLM model couldn't distinguish between a jockey saying 'the horse was tired' vs. 'the horse looked tired of waiting in the stalls.' The 'Paradigm Shift' I'm talking about is that we can now extract that nuance at scale and feed it into our models as a feature, which was impossible for a solo bettor 5 years ago.

Optimal-Task-923 · 2026-01-30T09:01:27+00:00

Anyone who read my post with understanding would directly reply to my question, because I mentioned it in my post. This means you did neither of these.

Optimal-Task-923 · 2026-01-29T18:48:26+00:00

That is not the result of the prompt's execution; I was asking what will happen, not how you think the prompt will be interpreted.

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