Qtum (@qtum): Too Early is the Same as Being Wrong: Our “Proto-OpenClaw” that Shipped Sept 2025.

Too Early is the Same as Being Wrong: Our “Proto-OpenClaw” that Shipped Sept 2025. In September 2025, we published a piece calling Model Context Protocol (MCP) the "USB-C for AI." https://qtum.org/blog/model-context-protocol-and-qtum At the time, MCP was a niche topic. Anthropic had introduced it less than a year earlier, and most of the industry hadn't noticed yet. So what is MCP? The Model Context Protocol (MCP) is an open-source, universal standard that allows AI models to seamlessly and securely connect to external data sources and software tools. Originally introduced by Anthropic and now governed by the Linux Foundation, it has been universally adopted by major AI players like OpenAI and Google. Before MCP, if a developer wanted an AI to read data from Slack, Google Drive, or a secure database, they had to write custom code for every single connection. This could QUICKLY get messy, and because each developer has their own flavor of scripting that they understood well, but when you duct-taped together a complicated setup, things could get weird. Think of MCP as the "USB-C port for AI." Instead of building a unique adapter for every device, software applications and databases can build an "MCP port" just once. From that point on, any AI model can plug into it instantly to fetch live data, read files, or execute actions. To sum this up, MCP basically created AI agents that could do difficult tasks that required multiple steps. An agent could use an MCP server to operate a Gmail account, and the logic that controlled what the e-mails contained was determined by the LLM behind it. A human operator could then tell its agent to use an MCP server to build websites that farm e-mail addresses, and then use an LLM to follow up the conversations using the Gmail account completely automated. When we first discovered this, we knew this was going to blow up, so we wanted to get in front of this. We made two predictions in our article: 1️⃣ MCP would become the universal standard for connecting AI models to tools, data, and the real world. 2️⃣ The MCP server ecosystem would explode. Servers for practically any use case, built by anyone. We began development on Qtum Ally. This was an installable desktop application which gave users access to multiple LLM’s, and had bundled in MCP support to build powerful agents. Users had the ability to add/remove these models as well, giving them the ability to turn their Win/Mac desktop computer into a powerful autonomous agent for free. We pushed this as hard as our reach allowed, we had a few surges in usage, but nothing really stuck. It was just too new and too hard to tell the story. Here's what happened next: → OpenAI adopted MCP across its Agents SDK, Responses API, and ChatGPT desktop. Google, Microsoft, and AWS followed. → In December 2025, MCP was donated to the Agentic AI Foundation under the Linux Foundation — with Google, Microsoft, AWS, OpenAI, and Cloudflare as founding members. It stopped being one company's protocol and became the protocol. → The ecosystem grew from a few hundred servers to 10,000+ active public MCP servers. → Even the "USB-C for AI" framing became the industry's go-to analogy. → ClawBot is unleashed, later named OpenClaw. While much of the industry was still catching up, Qtum Ally already had MCP built in: 12 LLMs, pre-configured, no coding required, and free. Our plan was to put tools that used to require a developer into the hands of everyone, We learned a humbling lesson from this: We’re on the right track, we’re developing tools that people will use, but we need to try harder to get the message out. For example, the Qtum Text-to-Video generator was just launched, and there's over 2000 users that have tried it, and over 15,000 visits to the page. We saw that MCP was the future of generative AI, it's part of the infrastructure layer. We knew this in September, now everyone does. We're going to keep developing and releasing AI products. Listed below is what we’ve released in the last few months on Qtum.ai 🎬 Qtum.ai — our text-to-video generation platform for creators and developers. Users have access to the newest Seedance models, and can pay for image generation with Qtum. This is our first AI product that isn’t completely free. New users have 500 free credits to try it out, and the ability to top up their balance with Qtum. 🔀 The Qtum AI Router — a unified inference layer (think OpenRouter) giving developers one API to route requests across multiple AI models. Built for the agent era that MCP made possible. This product allows users who want access to the latest LLM’s to power their agents, but don’t want to pay with a credit card or have to sign up for any subscriptions. There’s no vendor lock-in, you simply pay for what you use. You don’t even need to register for anything, you can authenticate with simply a MetaMask or Foxwallet chrome extension. This also adds a layer or privacy as well. The purpose of this Twitter Article is to get more eyes on qtum.ai as we're releasing a lot of products right now. Read the original article from September 2025 👇 https://qtum.org/blog/model-context-protocol-and-qtum Please keep in mind this article doesn't mean we're turning Qtum Ally offline, it still works with "Qwen3 Next" and whatever MCP servers you add to it. It technically still is a competitor to OpenClaw, and you can download it at Qtum.ai to try it out.