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.
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! 🚀
Most MCP servers limit the tools they expose officially due to these limits. Looking to make Loop MCP the unified gateway so you don’t have to pick-and-choose or worry about context bloat — all tools, less overhead, smoother flow. 🚀
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.
@alex_chu821 We support both Oauth and API based integrations. We solve the problem of dynamic tool discovery by making additional tool call to search the relevant too for you. The latency added is equivalent to making an additional tool call.
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Can I use simpliflow to provide MCPs to my users inside my agent builder?
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.
@alex_chu821 Great question, Loop handles multi-step operations with sub-second latency.
We support adding OAuth, API and No-auth tools through the portal, they are stored in a virtual container environment ensuring security and user isolation.
The Loop MCP routes your request to your personal backend and sends back the result.
Report
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.
Replies
Loop MCP by SimpliflowAI
DeepTagger
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! 🚀
Loop MCP by SimpliflowAI
Hey @avloss, Thanks for the comment.
Most MCP servers limit the tools they expose officially due to these limits.
Looking to make Loop MCP the unified gateway so you don’t have to pick-and-choose or worry about context bloat — all tools, less overhead, smoother flow. 🚀
Loop MCP by SimpliflowAI
Hey@avloss , Thanks for the comment.
Great product, dealing with multiple tools has been super annoying for me while developing. Congratulations on the launch guys. Looking forward to using this. 🎉
Loop MCP by SimpliflowAI
@siddharth_sagar2 Thanks
Loop MCP by SimpliflowAI
@siddharth_sagar2 Thanks mate ! Excited to launch this. Adding OAuth, Observability and many more tools in the coming weeks
Scrumball
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.
Loop MCP by SimpliflowAI
@alex_chu821 We support both Oauth and API based integrations. We solve the problem of dynamic tool discovery by making additional tool call to search the relevant too for you. The latency added is equivalent to making an additional tool call.
Loop MCP by SimpliflowAI
@marcos_sei We support this by letting users add relevant MCP servers to their accunt and paste the unified MCP URL into the agent UI to connect.
Hey@nikhil_ingewad_99, How does Loop MCP handle data privacy and security when connecting various apps to an AI assistant?
Loop MCP by SimpliflowAI
Hey@rajpurohit_vijesh ,
We make sure that the tool execution for each user happens in a seperate container env hence all the data is secured.
Scrumball
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.
Loop MCP by SimpliflowAI
@alex_chu821 Great question, Loop handles multi-step operations with sub-second latency.
We support adding OAuth, API and No-auth tools through the portal, they are stored in a virtual container environment ensuring security and user isolation.
The Loop MCP routes your request to your personal backend and sends back the result.
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.
Loop MCP by SimpliflowAI
@vivek_sharma_25 Along with app integrations we support executing MCP servers in a secure containerised environment.
really impressed by how it keeps everything context-efficient. Kudos SimpliflowAI!
wow! it makes handling multiple AI apps super easy.