One MCP server for AI agents to handle thousands of tools
Strata is one MCP server that guides your AI agents through thousands of tools in multiple apps progressively. It eliminates context overload and ensures accurate tool selection, enabling agents to handle complex, multi-app workflows with ease.
Hey Product Hunt! 👋 We're Klavis AI and are launching Strata, one MCP server for AI agents to handle thousands of tools progressively. As a former Senior SWE on Google @Gemini 's tool use team, I saw firsthand how AI would struggle with tools. If you've built AI agents, you've likely hit the same walls: 🤯 Tool Overload: Too many tools cause AI "choice paralysis."
💥 Context Overload: Long tool lists blow up token counts and costs.
📉 Coverage Gap: Most servers are stuck at <40~50 tools, limiting what you can build.
How Strata works
Strata fixes this. Instead of overwhelming the AI, it guides it. ✨Think of it as a smart layer that helps the AI think like a human 🧠. For a query like "find my leads in hubspot," Strata guides the AI through a logical flow:
1️⃣ Intent → Integration: First, it identifies the user who wants to use @hubspot .
2️⃣ Integration → Categories: It then shows available categories like "Accounts," "Campaigns," and "Leads."
3️⃣ Category → Actions: The AI drills down into "Leads" and finds relevant actions like "find_lead."
4️⃣ Action → Execute: Finally, Strata pulls the specific API details and runs it. ✅
Results
This approach delivers real results 📊. On the MCPMark benchmark, Strata achieves +15.2% higher pass@1 rate vs the official GitHub server and +13.4% higher pass@1 rate vs the official Notion server. In human eval tests, it hits 83%+ accuracy on complex, real-world workflows.
Join us! Ready to build powerful, multi-app AI agents with Strata? 👉 Sign up for free! Want to chat? Email us: [email protected] or ☎️ Book a call. Strata is also open-source! Check out the code, contribute, or self-host.
Hey Product Hunt! 👋
We're Klavis AI and are launching Strata, one MCP server for AI agents to handle thousands of tools progressively. As a former Senior SWE on Google @Gemini 's tool use team, I saw firsthand how AI would struggle with tools. If you've built AI agents, you've likely hit the same walls:
🤯 Tool Overload: Too many tools cause AI "choice paralysis."
💥 Context Overload: Long tool lists blow up token counts and costs.
📉 Coverage Gap: Most servers are stuck at <40~50 tools, limiting what you can build.
How Strata works
Strata fixes this. Instead of overwhelming the AI, it guides it. ✨Think of it as a smart layer that helps the AI think like a human 🧠. For a query like "find my leads in hubspot," Strata guides the AI through a logical flow:
1️⃣ Intent → Integration: First, it identifies the user who wants to use @hubspot .
2️⃣ Integration → Categories: It then shows available categories like "Accounts," "Campaigns," and "Leads."
3️⃣ Category → Actions: The AI drills down into "Leads" and finds relevant actions like "find_lead."
4️⃣ Action → Execute: Finally, Strata pulls the specific API details and runs it. ✅
Results
This approach delivers real results 📊. On the MCPMark benchmark, Strata achieves +15.2% higher pass@1 rate vs the official GitHub server and +13.4% higher pass@1 rate vs the official Notion server. In human eval tests, it hits 83%+ accuracy on complex, real-world workflows.
Join us!
Ready to build powerful, multi-app AI agents with Strata? 👉 Sign up for free! Want to chat? Email us: [email protected] or ☎️ Book a call. Strata is also open-source! Check out the code, contribute, or self-host.