
The definitive global directory, benchmark matrix, and swarm registry for every autonomous AI agent in the Super Intelligence era (.si).
A startup from Morocco, founded by ZOF.
This page is designed to help you find out whether EveryAgent.si is good and if it is the right choice for you.
EveryAgent.si is the definitive, production-grade global directory and benchmarking index for autonomous AI Agents, Multi-Agent Systems, and Model Context Protocol (MCP) Servers.
Built to accelerate discovery in the Super Intelligence era, EveryAgent organizes, profiles, and ranks agentic software using a transparent, multi-factor scoring engine (SI Score) based on repository activity, protocol compliance, authority, and architecture metrics.
Key Features:
-Autonomous Agent Indexing: Discover verified AI agents across dev tools, research, automation, and enterprise workflows. -Model Context Protocol (MCP) Hub: Dedicated registry and execution schema viewer for MCP servers (STDIO and SSE). -Deterministic SI Scoring: Algorithmic ranking evaluating repository authority, stars, and integration depth without bias. -Zero-Latency Search: High-performance index for developers and teams integrating agentic solutions into production.
Listed in
Global Directory
Cataloging & indexing 100+ AI Agents & MCP Servers
SI Scoring Engine
Empirical benchmark evaluation (SWE-bench, GAIA)
Live MCP Playground
Interactive browser-based MCP execution harness
Swarm Dispatcher
Multi-agent execution simulator & tool chain
AI Agent Oracle
Topology architect for multi-agent workflows
Developer Registry
Self-service verification & instant indexing
Architecture
Token-free, edge-distributed, zero-latency
EveryAgent combines AI agent discovery with an interactive Model Context Protocol (MCP) live execution harness, deterministic SI benchmark scoring, and multi-agent swarm orchestration within a single, zero-latency platform.
Unlike static text directories, EveryAgent offers real-time MCP tool testing directly in the browser, unbiased algorithmic ranking without sponsored ad placement, and specialized tools like Swarm Dispatcher and AI Oracle for building multi-agent architectures.
AI engineers, software developers, research teams, open-source contributors, and enterprise architects looking to discover, benchmark, and integrate autonomous AI agents and MCP servers into production workflows.
EveryAgent was built to solve the fragmentation in the fast-growing AI agent ecosystem. As autonomous tools and Model Context Protocol (MCP) servers proliferated, developers needed a unified, high-performance registry with transparent benchmarking to evaluate and test agents in real-time.
React, Next.js, TypeScript, Cloudflare Edge Infrastructure, Docker, and a deterministic algorithmic scoring engine hosted on high-performance Linux VPS.
-AI Engineers & Autonomous Agent Developers -Open-Source Software Creators & MCP Tool Contributors -Tech Startups & Enterprise Automation Teams -AI Researchers Benchmarking Multi-Agent Systems
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