by EthanYolo01 · MCP Server · ★ 59
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
A carefully curated list of awesome OpenClaw resources — not everything, just the best. Skills · Plugins · MCP · Tools · Deployments · Security · Research · Alternatives。精心策划的 OpenClaw 优质资源大合集 —— 不求大而全，只求真有用。
| Stars | 59 |
| Forks | 1 |
| Category | MCP Server |
| Quality Score | 38.3/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-20 |
| Created | 2026-03-19 |
| Platforms | mcp |
| Est. Tokens | ~7k |
Looking for a Awesome-OpenClaw alternative? If you're comparing Awesome-OpenClaw with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A curated list of tools, papers, and datasets for applying AI to cybersecurity tasks. This list primarily focu
A curated list of OSINT MCP servers. Pull requests are welcomed!
A curated list of resources, tools, papers, and platforms for prompt engineering in large language models (LLM
A curated list of resources, tools, papers, and platforms for prompt engineering in large language models (LLM
MCPSDK.dev(ToolSDK.ai)'s Awesome MCP Servers and Packages Registry and Database with Structured JSON configura
A curated list of awesome resources, tools, research papers, and projects related to the concept of Large Lang
Explore other popular mcp server tools:
Awesome-OpenClaw is A carefully curated list of awesome OpenClaw resources — not everything, just the best. Skills · Plugins · MCP · Tools · Deployments · Security · Research · Alternatives。精心策划的 OpenClaw 优质资源大合集 —— 不求大. It is categorized as a MCP Server with 59 GitHub stars.
You can find installation instructions and usage details in the Awesome-OpenClaw GitHub repository at github.com/EthanYolo01/Awesome-OpenClaw. The project has 59 stars and 1 forks, indicating an active community.
The top alternatives to Awesome-OpenClaw on Agent Skills Hub include Awesome-AI-For-Security, awesome-osint-mcp-servers, awesome-prompt-engineering. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.