Connect all your apps to any AI assistant with seamless integration. Loop is your unified MCP gateway that allows you to connect to tools & MCP servers while solving the tools limit problem in AI apps
Hey Product Hunt!
After watching devs and teams hit the same wall with AI apps, we built something game-changing.
🤔 The Problem We All Face
AI apps like Cursor, Windsurf, and Claude Desktop are amazing… until you try to actually make them do things.
Every MCP server has to be connected separately to every AI app.
Each app has a hard limit on the number of tools because they shove all tool schemas into the LLM’s context.
Context windows overflow. Tools get cut. AI gets dumber.
No single place to manage all your MCP servers and integrations.
The result? You’re stuck juggling configs, hitting tool caps, and constantly re-adding the same integrations everywhere.
⚡ Enter SimpliflowAI: The Unified MCP Server
SimpliflowAI gives every user their own universal MCP server — a single entry point for all their integrations and external MCP servers.
Here’s the trick: instead of dumping hundreds of tool schemas into the LLM, SimpliflowAI fetches the right tool dynamically and even executes it.
retrieve → Finds the right tool dynamically
execute → Runs the chosen tool
This means you can add unlimited integrations without filling up the context window or hitting app-imposed limits.
💡 With SimpliflowAI, you can:
Connect once, use anywhere (Cursor, Claude Desktop, Windsurf, etc.)
Mount unlimited integrations + external MCPs in one place
Keep your LLM context clean and efficient
Scale to hundreds of tools without breaking AI apps
Control all your MCP servers from a single dashboard
🎯 What Makes SimpliflowAI Different
Unified Orchestration → One MCP server, infinite tools
Context-Efficient → Dynamic schema retrieval, not schema overload
Composable → Mount external MCP servers alongside integrations
Plug & Play → Works with any AI app that supports MCP
💭 Try These Prompts Right Now
Once connected, just ask:
“Pull customer feedback from Slack, Gmail and create a status report.”
“Update Google Sheets with the latest Stripe revenue and share a chart in Slack.”
“Pull all open bugs assigned to me from JIRA and make an action plan in Notion".
🚀 Our Vision
We believe every AI app should have access to all your tools without breaking context windows or forcing limits. SimpliflowAI is the bridge between your integrations, your MCP servers, and your favorite AI apps — the missing layer of AI infrastructure.
SimpliflowAI = infinite tools, one MCP, zero context bloat.
Congrats on the launch of SimpliflowAI! 🚀 The problem you’re solving really resonates — juggling configs and hitting tool limits is such a real headache for anyone trying to scale AI workflows. Definitely curious to see how it changes the way we integrate AI apps day-to-day.
By the way, our team is also launching Hiclip on Product Hunt soon (AI-powered tool that turns long videos into short, platform-ready clips). Would love to support each other on launch day! 🙌
Loop is your unified MCP gateway connect all your apps to any AI assistant with seamless integration. It solves the tools limit problem in AI apps, unlocking smoother orchestration across tools and servers.
really impressed by how it keeps everything context-efficient. Kudos SimpliflowAI!
Great product, dealing with multiple tools has been super annoying for me while developing. Congratulations on the launch guys. Looking forward to using this. 🎉
This MCP server juggling problem is real - I've definitely been there with the constant re-configuring across different AI apps. It gets old fast.
The dynamic tool fetching sounds clever but I'm wondering about performance. If you're looking up tools on-demand instead of having them ready to go, doesn't that add latency to every request? Especially when you're chaining multiple tools together like in those example prompts.
Also curious how you handle auth across all these different services. Some tools need OAuth, others use API keys, some have weird custom auth flows. Managing all that centrally seems like it could get messy quick.
The unified MCP server approach addresses a real infrastructure problem. Having to reconnect integrations across multiple AI apps is tedious, and context window limits do force tough trade-offs between tool availability and performance.
How does the dynamic tool retrieval handle latency? If you're fetching tool schemas on-demand rather than having them pre-loaded, that could introduce delays that break the conversational flow, especially for complex multi-step operations.
Also curious about the execution model - when SimpliflowAI runs tools on behalf of the LLM, how do you handle authentication and permissions? Different tools might require different security contexts or user credentials.
Hey@nikhil_ingewad_99, How does Loop MCP handle data privacy and security when connecting various apps to an AI assistant?
This feels like a smart step toward making AI tools accessible for everyone.
This looks really cool! I'm impressed by how Loop MCP can help manage complex workflows with ease. How does the feature for real, time collaboration actually work?
I've seen so many posts about how tough it is to keep track of project updates and tasks. People really feel lost in the chaos. It seems like your product could really help solve that.
If you're looking to connect with project managers and data analysts, I think they would love to hear more about this. The conversations are already happening around this issue.
Congratulation to the launch! Excited to see this tool. @namit_bhardwaj
Amazing product, having all those MCP tools can most definitely feel overwhelming, plus some take a lot of context (not point a finger at Trello, but "24 tools (~11,165 tokens)" is a bit excessive). So then you have to pick-and-choose. Loop MCP unifies access to all those tools and shrinks context footprint - that definitely saves the day! 🔥 Congrats on your launch! 🚀
So many MCP product those day!
This could be a game-changer for teams hitting MCP tool limits. But how does the dynamic retrieval handle latency-sensitive workflows, like real-time data queries?
