No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Agentfy-io · MCP Server · ★ 581
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Agentfy safe to install? View the security audit →
🧠 Agentfy – Multi-Agent System for Social Media 📋 Overview Agentfy is a modular, multi-agent coordination system purpose-built for automating tasks across social media ecosystems. Architected with a flexible Model Context Protocol (MCP), the system enables intelligent workflow execution by leveraging LLMs to translate user intents into structured, goal-driven task chains. Agentfy supports multi-agent communication and collaboration, allowing sub-agents to reason, perceive, and act together in real-time. It dynamically
| Stars | 581 |
| Forks | 99 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64.0176398188764/100 |
| Open Issues | 2 |
| Last Updated | 2025-05-05 |
| Created | 2025-04-06 |
| Platforms | mcp, python |
| Est. Tokens | ~2441k |
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Agentfy is 🤖 Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms. ASK ONCE, LET THE AGENT DO THE REST!. It is categorized as a MCP Server with 581 GitHub stars.
Agentfy is primarily written in Python. It covers topics such as ai-agents, ai-tools, model-context-protocol.
You can find installation instructions and usage details in the Agentfy GitHub repository at github.com/Agentfy-io/Agentfy. The project has 581 stars and 99 forks, indicating an active community.
Agentfy is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Agentfy on Agent Skills Hub include OpenAdapt, x-use, claude_code_bridge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: