awesome-claude
Curated directory reduces time spent evaluating Claude integrations and extensions, enabling teams to rapidly identify production-ready agents and MCP server…
Awesome Claude directory: agents, MCP servers, skills, hooks, commands, tools, guides, and AI workflow resources.
- Find open-source Claude agents and tools for your specific engineering workflow needs
- Discover MCP servers and integrations to extend Claude's capabilities in your development environment
- Browse curated guides and examples to build custom Claude workflows for your team
Curated directory reduces time spent evaluating Claude integrations and extensions, enabling teams to rapidly identify production-ready agents and MCP servers that fit existing workflows without reinventing infrastructure.
Engineering teams and platform architects standardizing Claude integrations across development and operations workflows.
https://github.com/JSONbored/awesome-claude
By JSONbored
How to Get It
None — curated directory; browse it at the source link
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me find open-source Claude agents and tools for my specific engineering workflow needs
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- OMG Claude Sonnet 3.7 is insane. I got this stunning 3D city with one shot. Look — Reddit · 692 pts
- OMG Claude Sonnet 3.7 is insane. I got this stunning 3D city with one shot. Look — Reddit · 634 pts
- Claude is just awesome — Reddit · 180 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 291 GitHub stars; 67 contributors; last commit 2d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 291 GitHub stars; 67 contributors; last commit 2d ago; license MIT.