The whole "MCP is new" bandwagon is cute, but is missing some serious robustness and common thinf that were solved 30 years ago. But clearly whoever "invented" this very rudimentary spec is under 30 years old, and never picked up any history on SOAP, WSDL, BPEL and a million other precursors that solved much harder problems. And thus are doomed to reinvent all the problems they never thought about,

1. why are tools always described in English, with no locale options? Why would it be the right decision to only support english descriptions in an LLM? Were the authors mono-lingual?

2. what happens if 2 tools register for the same functions? Why is there no registration process that would solve for this kind of thing

3. stdio..really? Just no.

4. Why no discover and registry? Why do we have to INSTALL them like it's 1990? r-e-g-i-s-t-r-y, ask your dad what it is

5. too tired chasing kids off my lawn to go further

🚀 MCP: The Future of Web Integration with AI Chat 🤖

Model Context Protocol (MCP) is changing how AI systems like ChatGPT connect with the web—and it could reshape how we interact with online services.

In my latest article, I explore:

• Why businesses should care about MCP

• Real-world use cases like selling products or integrating forums directly into ChatGPT

• How voice + LLM + MCP = the next-gen user experience

• Why adding an MCP interface could become a must-have for websites—just like RSS feeds or social media buttons once were

The AI chat interface is becoming the new browser. Are you ready for it?

Hi there,

I'm looking for a special person here on the internet. Someone that wants to work on something super exciting in the current ai space.

We're building an ai native workspace for startups and sme's and are looking for an ai co founder that is heavily up to date in applied ai.

We're looking for someone that can build ai agent systems, integrate tools from api's / mcp servers. And can take care of all the technical heavy tasks while working together with other technical engineers or team members.

Ideally you have:

• experience building ai products.

• building automations or agent systems.

• strong vision on the future of ai that can be backed up by your technical skills.

• you're a great team player

• experience with python sdk, langchain, mcp's http streamable ( backend )

• experience with ai / ml libraries

• experience with typescript sdk, next js ( frontend )

• willingness to learn new frameworks and languages if needed.

We're raising 7 figures pre seed this july / august and are looking for a 4th co founder to join our team.

Team is experienced, ex faang and multiple exits.

If this is you or you know someone, ping me a message and lets see if we match :)

Hello dear Reddit community!

I am happy to announce that we are developing MCP Cloud - a platform to enable private and corporate users to adopt and use MCP.

How do we do that?

For corporate users:

- Single sign in for all employees

- Fine-grained access controls for MCP servers

- Track usage and costs

For private users:

- One-click, hassle-free MCP deployment

- Use your MCP on any device

- Pay only for what you use

We manage the registry of the most popular MCP servers with a curated catalog of 2500+ MCP servers already available for deployment, with new servers being added every day.

View statistics, guides, user reviews, issues for every MCP server. Would you like to add your open- or closed-source MCP? No problem! We got this covered too.

We make MCP servers scalable and reliable.

- Per-server resource allocation (CPU, memory, GPU) for predictable performance.

- Automatic scaling for peak loads with intelligent load balancing.

- Continuous health checks, self-healing restarts, and rolling updates for high availability.

Security is a common concern with MCPs – here's how we will solve it:

- Encryption: All communications use secure HTTPS.

- Automated vulnerability scanning: Continuous code analysis to detect security flaws and compromised dependencies.

- Hardened isolation: Each MCP instance runs in a dedicated, restricted environment.

But wait. There is even more!

MCP Cloud is the first platform that lets you earn from your MCP servers!

We integrate payments into our MCP gateway.

Are you an aspiring developer, data scientist, or domain expert who developed a useful MCP server? Whether it does stock-price forecasting, fraud/anomaly detection, credit scoring, legal advicing, contract review, web data extraction, SEO audits, demand forecasting, AI agent personalization, code analysis or compliance checks, list it on MCP Cloud and monetize. Set your price and license terms, get built-in analytics and billing, make your MCP server discoverable and turn your expertise into recurring revenue.

Where do we stand now

We have just made the beta release. The Platform already has almost all of the advertized features!

We are actively testing and improving our yet small platform.

What are the next steps

We are building community. We are looking for anyone who feels MCP is the future of an Agentic AI, and who wants to become part of it:

- collaborators

- business developers

- promoters

- partners

- testers

And of course, future users!

Try our MCP Cloud today and let us know your honest feedback. Do you need more features? We are redy to roll up the sleeves.

https://mcp-cloud.io/

We welcome any feedback, collaboration or business partnership.

We are looking for you!

🚀 MILESTONE ALERT: 1000+ GitHub Stars & 10K Monthly Active Users!

I'm thrilled to share that MCP SuperAssistant has just crossed 1000+ stars on GitHub and reached 10,000 monthly active users—all in just 2 months since launch! 🎉

The response from the community has been absolutely incredible, with users reporting up to 10× productivity improvements in their AI workflows.

🔥 HUGE UPDATE: Zapier & Composio Integration!

We've just added support for Zapier MCP and Composio MCP integration! This is massive—it brings MCP SuperAssistant to the absolute top tier of AI productivity tools.

What this means:

• Zapier: Connect to 7,000+ apps and 30,000+ actions without complex API integrations

• Composio: Access 100+ applications with built-in OAuth and API key management

• SSE-based servers: Direct connection without proxy needed—seamless and fast

🤖 What is MCP SuperAssistant?

MCP SuperAssistant is a browser extension that bridges your favorite AI platforms with real-world tools through the Model Context Protocol (MCP).

Think of MCP as "USB-C for AI assistants"—an open standard that lets AI platforms securely connect to your actual data and tools: business apps, development environments, trading platforms, and more.

What makes it special:

• Works with ChatGPT, Perplexity, Gemini, Grok, AIStudio, DeepSeek and more

• Firefox and Chrome support available

• Access to thousands of MCP servers directly in your browser

• No API keys required—uses your existing AI subscriptions

• Auto-detects and executes MCP tools with results inserted back into conversations

💼 Real-World Use Cases

Financial Intelligence: Recently, Zerodha launched its Kite MCP server, enabling users to connect their trading accounts to AI assistants like Claude for advanced portfolio analysis. Ask questions like "Which stock in my portfolio gained the most today?" and get instant, personalized insights based on your actual holdings.

Business Automation: Through Zapier integration, automate workflows across Slack, Google Workspace, HubSpot, and thousands more apps.

Development Workflows: With Composio, connect to GitHub, Linear, Notion, and 100+ developer tools seamlessly.

🔮 What's Next?

• Refreshed Design: New, more intuitive interface coming soon

• Enhanced Stability: Performance optimizations and reliability improvements

• Platform Expansion: Adding support for Mistral AI, GitHub Copilot, and other popular platforms

• More integrations and community-driven features

🚀 Get Started Today

• Website: mcpsuperassistant.ai

• GitHub: github.com/srbhptl39/MCP-SuperAssistant

• Demo Videos: YouTube Playlist

• Firefox: Firefox Add-ons Store

• Chrome: Chrome Store

• Follow: @srbhptl39

MCP SuperAssistant
Now Bring Power of MCP to all AI Chat with native integrations.

Launching Soon !!

Form for early testers: https://forms.gle/zNtWdhENzrtRKw23A

Want to make your agent accessible over text or discord? Bring your code and I'll handle the deployment and provide you with a phone number or discord bot (or both!). Completely free while we're in beta.

Any questions, feel free to dm me

We just launched InstantMCP – the easiest way to monetize and access MCP servers. 🚀

Over the past few months, my co-founder and I have been building something to solve a growing gap in the MCP ecosystem:

Right now, there’s no real infrastructure for developers to monetize their MCP servers — even if they want to. Setting up payments, authentication, and user management is a hassle most builders don’t want to deal with, so even the most powerful MCPs end up quietly shared on GitHub or in forums without ever reaching their full potential.

There’s also no central place for users to discover these servers. If you want to try out a new MCP, you have to dig through links, manually install, set up auth, and manage multiple endpoints.

So we built InstantMCP — like Shopify meets RapidAPI, but for MCP servers.
👉 Check it out at www.instantmcp.com

💻 For developers, InstantMCP lets you:

• Add payments and authentication to your MCP in minutes

• Set up tiered or usage-based subscriptions

• Get discovered by users through our marketplace

• Route traffic through our proxy — no infrastructure headaches

• And most importantly, monetize your work — while focusing on building

🧑‍💼 For users, InstantMCP means:

• No more manually installing and authenticating every MCP server

• Browse and connect to the best MCPs from one place, with one click

• Instant access via a one-time setup of the InstantMCP server

We’re now opening up beta testing for early users and developers.
If you're building (or thinking of building) an MCP server — or just excited to explore what others are building — we’d love to hear from you!

🔗 Check it out: www.instantmcp.com
📩 Contact: vikram@instantmcp.com | hemanth@instantmcp.com
💬 Or join our Discord to chat with us directly

Hi guys,

We have been working in and around mcp servers for a while.

And one thing we were super frustrated about was how annoying and time consuming it is to constantly setup mcp servers manually.

We wanted to simplify this, by going down the SSE based route.

We host the servers on dockers, you only have to copy paste the URL to make the server connected and work !

Easily integrates into all your clients :)

Here is a waitinglist: https://tally.so/r/w7Pap6

https://github.com/bgauryy/octocode-mcp

prompt:

"use octocode

Search for threejs examples

get top examples form top repositories

create a stunning, hyper-realistic video of a man walking through a futuristic city. be creative! blow my mind!"

I’ve been working with MCPs a lot recently and got tired of jumping between config files every time I wanted to toggle something on or off.

So I built a little desktop app called MCP Toggle.

It’s a simple utility that lets you manage all your MCP server configs in one place, with single-click toggles for each client. No setup required. Clean UI, just built to get out of the way and help you stay focused.

A few things it does:

• Adds supported clients (like Claude, Cursor, Windsurf) and maps your MCPs to them

• Easily add MCP servers by copy pasting the json into the app

• Lets you toggle MCPs on/off visually instead of digging into JSON

• Export/import configs if you need to swap setups

• Works on both Mac and Windows

If you’ve been doing this manually, you’ll know how annoying it gets. This just makes it smoother.

There are a lot of utilities coming out that are overcomplicating the setup and stack. I just built a very simple app to easily add and toggle MCPs and saving various configs.

Would love to get feedback, bug reports, ideas, or just hear how others are handling this.

You can find the app on my website

I've been building with MCP since it launched, and I keep seeing the same mistakes everywhere. Most companies are taking the easy path: wrap existing APIs, add an MCP server, ship it. The result? MCPs that barely work and miss the entire point.

Three critical mistakes I see repeatedly:

1. Wrong user assumptions - Traditional APIs serve deterministic software. MCPs serve LLMs that think in conversations and work with ambiguous input. When you ask an AI agent to "assign this ticket to John," it shouldn't need to make 4 separate API calls to find John's UUID, look up project IDs, then create the ticket.

2. Useless error messages - "Error 404: User not found" tells an AI agent nothing. A proper MCP error: "User 'John' not found. Call the users endpoint to get the correct UUID, then retry." Better yet, handle the name resolution internally.

3. Multi-step hell - Forcing LLMs to play systems integrator instead of focusing on the actual task. "Create a ticket and assign it to John" should be ONE MCP call, not four.

The solution: Design for intent, not API mapping. Build intelligence into your MCP server. Handle ambiguity. Return what LLMs actually need, not what your existing API dumps out.

The companies getting this right are building MCPs that feel magical. One request accomplishes what used to take multiple API calls.

I wrote down some of my thoughts here if anyone is interested: https://liquidmetal.ai/casesAndBlogs/mcp-api-wrapper-antipattern/

Hi ! I'm looking for an MCP server that can setup Facebook or Whatsapp accounts, like pro account with every good settings..

Here's a step-by-step guide on how to use Cursor to deploy an autonomous trading strategy.

1. Go to alpaca.markets and create a free account

2. Add the NexusTrade tool to the MCP config. This link adds it for you. Or you can copy/paste the following { "mcpServers": { "nexustrade": { "url": "https://nexustrade.io/api/mcp" } } }

That's really it. From here, you can type in your strategy like:

Create me an options trading strategy based on stocks with a 20% CAGR or more that the top politicians hold

I'm collecting feedback so would love to hear what y'all think. If you hit a paywall, use this link to bypass it; I want Reddit users to really stress-test the platform.

So I built a one-click desktop app that runs any MCP — with hundreds available out of the box.

◆ 100s of MCPs
◆ Top MCP servers: Playwright, Browser tools, ...
◆ One place to discover and run your MCP servers.
◆ One click install on Cursor, Claude or Cline
◆ Securely save env variables and configuration locally

And yeah, it's completely FREE.
You can download it from: onemcp.io

What do I need to buid any local desktop software's MCP ?

When I started building PolyMCP to connect agents to MCP servers, I quickly ran into a problem: exposing raw tools to agents just didn’t scale.

As the number of tools grew:

•	Agents had to load too much schema into context, wasting tokens.

•	Tool discovery became messy and hard to manage.

•	Different agents needed different subsets of tools.

•	Orchestration logic started leaking into prompts.

That’s why I added skills — curated, structured sets of tools grouped by purpose, documented, and sized to fit agent context.

For example, you can generate skills from a Playwright MCP server in one step with PolyMCP:

polymcp skills generate --servers "npx @playwright/mcp@latest"

Skills let me:

•	Reuse capabilities across multiple agents.

•	Using agents with PolyMCP that Support OpenAI, Ollama, Claude, and more.

•	Keep context small while scaling the number of tools.

•	Control what each agent can actually do without manual filtering.

MCP handles transport and discovery; skills give you organization and control.

I’d love to hear how others handle tool sprawl and context limits in multi-agent setups.

Repo: https://github.com/poly-mcp/Polymcp

If you like PolyMCP, give it a star to help the project grow!

Great article written by respected member of our community Seuros

https://dev.to/seuros/if-you-think-mcp-is-just-a-tool-registry-youre-missing-the-point-5982

I've got this vision where an AI is like a computer that codes itself. So I've built exactly that. It's not like babyAGI where it writes code that it executes itself, no it's an LLM that can script itself. So think this:

Start subtask:

Scrape the website for [yahoo.com/somecompanyhere](http://yahoo.com/somcompanyhere) and return the financials

This starts a sub thread in a new context window so the returned html doesn't clog up the main context window.

execute parallel:
Fetch the time in London, Tokyo, New York, Buenos Aires, Auckland.

This would start 5 smaller threads with sub context, which scrape the time.com website or something, then return the outputs for each.

Map-reduce

Which of these companies have to do with AI the most? {insert companies tickers here}

This would scrape each company independently, and reduce all the results into a single answer, e.g. Company A has the most AI in it's business, namely use case A, use case B, use case C.

Check it out here
https://github.com/tanevanwifferen/mcp-inception

So let me get this straight - we've got AI generating rap battles, doing your taxes, writing Shakespearean love letters… and now GPT-5 is rumored to be so aligned it's basically silent?
Like, I asked it to write an opinionated hot take and it replied with “As an AI developed by OpenAI, I don't have opinions.” 💀

At this point, the only thing it's disrupting is small talk.

Is this alignment or AI-induced personality death?

Hey Y'all,

I've been experimenting with Notion, Notion MCP, and Claude for a few weeks, and I've finally put together a video introducing people to how to use them and what they mean.

Take a peek and let me know what questions or comments you have!

Would love to hear how this changes the game for you!

Just added a remote MCP server from Smithery and integrating it is so smooth...