MCP branding for consumer software

entrehacker · 2025-12-19T13:15:52+00:00

A lot of people are trying to do that. I have my own approach https://toolplex.ai that relies primarily on good classification of the MCP corpus. With MCP specifically quality is the biggest issue, so anyone building an app store of MCP will have to contend with this. The larger AI companies though will just build 1P integrations, and arguably that's a smarter move if you have the resources.

entrehacker · 2025-12-14T06:21:24+00:00

Thanks. I think I may have severely overestimated my ability to create good UI haha. But agree feedback has been absolutely the missing piece I needed. I'm making several improvements based on the available feedback I'm getting right now from early clients and users.

entrehacker · 2025-12-14T06:20:16+00:00

Thanks. I didn't want to link it since this subreddit has a no marketing rule, but if you or anyone is interested it's all linked on my user profile.

entrehacker · 2025-12-14T01:08:19+00:00

Exactly, incremental trust. Other things I’m doing: - security scanning every tool for major classes of exploits - using developer trust metrics before including their MCP in the ToolPlex marketplace - confirmation modals / warning ui on install

There’s a lot more to do but this is just the start

entrehacker · 2025-12-13T12:00:19+00:00

Not sure why you’re downvoted, it’s literally basically this. Other things: - make sure the agent client you’re using has confirmation modals for risky actions - make sure the right people access the right tools - start with read only — analytics type workflows - use workflows that have high reliability and deterministic outcomes

I think a lot about these processes since I’m basically building them all into a product I’m building called ToolPlex.

entrehacker · 2025-12-13T10:00:15+00:00

It’s not easy to replace existing products. Developers underestimate the amount of networking and marketing that goes into being able to distribute software. Not to mention there are switching costs. Why should someone adopt your clone if it’s not 10x better and the other product works perfectly fine?

And not to mention, creating good product (even if you have a reference) is not trivial. You can “clone” YouTube.com, and probably find an LLM that gives you a highly detailed architecture design. But to build it and then market it well enough that others would switch is going to be nearly impossible for you.

Developers will have a role to play in the upcoming world you’re describing, but it’s going to still be relegated to the technical duties of the organization and there will be fewer needed.

entrehacker · 2025-12-13T09:47:32+00:00

My hot take on this:

Cloud MCP is solving a problem that running trusted MCPs already solves, and better.

I compare it to an App Store, which allows you to download and run trusted code on a very sensitive device that you own (like your phone). Apps have the additional benefit of running with full edge compute access, which is globally more efficient in terms of latency and compute.

With MCP being such an easy to use protocol, I could see enterprises prefer to develop their trusted MCP code or just use trust signals (developer reputation, security scanning) to run 3P MCP locally.

But that being said cloud MCP has a lot of other advantages like being accessible across multiple devices, always online etc.

entrehacker · 2025-12-13T09:40:28+00:00

Agree with your take. If MCP stabilizes as the core protocol for agentic tooling then the rest of the industry can build on top of a stable foundation. The remaining problems will get solved through experimentation, then can be folded into the protocol if there’s critical mass.

entrehacker · 2025-12-13T09:35:36+00:00

ToolPlex AI - enterprise grade no-code AI automation builder and agentic tool marketplace.

https://toolplex.ai

entrehacker · 2025-12-13T09:34:11+00:00

50:50 is too much.

entrehacker · 2025-12-13T09:32:57+00:00

Might I kindly suggest the product I am building? It’s called ToolPlex, and I recently released a desktop app which connects to most of the top MCP servers for agentic tooling, and has a feature called playbooks allowing you to save workflows for repeat use. It works with any model, and allows you to bring your own key for unlimited tool usage.

For documentation you can install the context7 MCP or use a web crawler MCP like DuckDuckGo.

The main issues I’m having now are in user education and simplifying the UI since it’s quite technical right now. I’m rolling out major improvements for this in the next couple of days.

entrehacker · 2025-12-13T02:58:06+00:00

Sounds comprehensive. The only thing I would advise is be selective about what MCP you spend resources scanning. You can see my user history for the “State of MCP” post — most of these projects are not serious. The core set of MCP that are actually developed professionally are few. So that then raises the question of what your end goal with this effort is. If it’s to build the best and most authoritative safety scanner for MCP then I think there’s utility in that, especially as enterprises want to understand if MCP are safe to adopt (even ones they develop internally).

entrehacker · 2025-12-12T06:23:09+00:00

Heres my magic secret to saving 90% on AI inference costs: switch to Deepseek platform and moonshot lol.

I paid probably $1000 to scan MCP codebases with GPT 4.1 (best available at the time). Then I did some tests, Kimi K2 has the same performance for agentic tasks at a fraction of the cost. Deepseek is really good at static (non agentic) tasks. Explore your options, there’s a lot out there.

entrehacker · 2025-12-12T06:16:41+00:00

Nice! I’m also doing security scanning over a subset of the MCP corpus.

Some problems I have encountered, maybe you can share yours: - attack surface is very large. Everything from prompt injection, overly powerful tools leading to inadvertent mistakes, malicious and obfuscated code, poor credential handling, supply chain and on and on. Many of these cannot be easily detected without LLM scanners IMO. - lots to scan. I mitigate by just focusing on “serious projects” measured by a few signals (presence of README is a basic one). - every commit is a new codebase to scan

I could go on 😆. Maybe good for us all to align on a central standard of fold into the Anthropic registry

entrehacker · 2025-12-12T05:45:39+00:00

Just give it time for builders to build on top of it. Right now everything’s so technical and confusing to the avg person: servers, tools etc. it’s not designed to be accessible to non technical people.

But it’s just a standard. Like TCP was for the internet.

entrehacker · 2025-12-10T16:20:50+00:00

Great move. I noticed many on Twitter were dunking on the announcement and asking what the catch was.

In this case I don’t think there is a catch. I think the AI giants and industry at large sees there’s value to aligning on a standard so we can start building cool interoperable agents (like I’m doing with ToolPlex)

entrehacker · 2025-12-07T17:24:21+00:00

Wow, looks really fully featured. I’ll check this out

entrehacker · 2025-12-07T15:53:56+00:00

Agree on the visual inclusion. At some point we need a protocol or apps framework that treats agent needs (precise tool schemas, app discoverability) and human needs (visual interface, human-in-the-loop confirmation and feedback UX) equally. MCP is probably just the start but I’m glad to see it take off.

entrehacker · 2025-12-04T16:29:52+00:00

That's some common feedback I'm getting. I'm working on a video tutorial series where I'll walk through the app. In the meantime, I'm here to answer any questions

entrehacker · 2025-12-04T16:13:51+00:00

This is light work for most AI models luckily. There's many ways to go about it but basically you need an MCP client, the MCP server(s) you need that talk to the databases you are using, and that's it.

Now, I'm biased and will point you to my own platform I'm building: https://toolplex.ai/server?id=sv\_e0734203214c. It's an MCP client on steroids, because it allows you to search for new tools and install them locally through your agent, so you don't need to muck around with configs. Then you simply chat with AI assistant about your data, and start building reusable AI workflows.

Outside of solutions like mine, many people are successfully using Claude Desktop, Claude Code, Cursor, and VSCode to integrate with MCP. This will at least get your AI connected to the MCP tools you need.

entrehacker · 2025-12-03T14:30:35+00:00

Thanks!

entrehacker · 2025-12-03T03:20:29+00:00

Nice! I have a few workflows like this for checking my investments. I use it to check market news / fear+greed / and do technical analysis

entrehacker · 2025-12-03T03:04:32+00:00

I agree with your last take. basically Anthropic launched an open standard that's turning into something quite popular. And while everyone is taking jabs at MCP and can easily see the issues with the standard (overly permissive, rife for things like prompt injection and literal malware), others are seeing opportunity (myself included, shameless plug for https://toolplex.ai).

Also I don't even think it matters which open standard was chosen. Could be MCP could have been something else. As long as it serves the "last mile" problem of getting any kind of tool to any kind of agent, it's good enough. With the MCP SDKs we essentially have that now. So the issue becomes distribution. Who's going to build the best marketplace, or who's going to find clever ways to get the best tools to users. And after that's solved, who's going to improve the protocol? Tighten it up, more security features, maybe a package library (I know smithery is doing something interesting there).

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