What changed
The HeyClaude project, hosted on GitHub, serves as a curated registry and distribution surface for Claude AI workflow assets. It is designed to be a human-reviewed, file-backed directory encompassing a wide range of components essential for building AI workflows with Anthropic's Claude models. The registry categorizes these assets into ten distinct sections: Agents (106 entries), MCP Servers (483 entries), Tools (205 entries), Skills (179 entries), Rules (90 entries), Commands (43 entries), Hooks (87 entries), Guides (128 entries), Collections (25 entries), and Statuslines (42 entries).
These entries are maintained in a human-readable format, primarily MDX, and are intended to be machine-readable as well. The project emphasizes a "source-first" approach for user-generated content, with an AI-reviewed merge gate to ensure quality and consistency. Contributions are managed through a pull-request-first process, with specific guardrails for content submissions. Commercial listings, job postings, and tool/app promotions are handled via website lead forms rather than direct GitHub submissions. The registry can be accessed in various formats, including JSON, RSS, Atom, LLM text, Raycast data, or as a read-only MCP server. The project also offers an npm MCP package for integration.
Why it matters for builders
For AI builders, HeyClaude provides a consolidated and organized platform to discover, share, and integrate components for Claude-based AI applications. The structured nature of the registry, with clear categories and detailed descriptions, simplifies the process of finding specific agents, tools, or workflow patterns. This can significantly reduce the time spent searching for relevant resources and accelerate the development cycle for new AI-powered applications and services. The emphasis on source-backed content also promotes transparency and reliability in the assets available.
Practical impact
Developers can leverage HeyClaude to find pre-built agents for specialized tasks, discover MCP servers for managing model context, and locate tools that enhance Claude's capabilities. For instance, the 'Agents' section lists specialized roles like an 'Agent Observability SRE Agent' for Claude Code analytics or an 'Agent SDK Production Architect Agent' for guiding apps to production. The 'Tools' section includes items like an 'API Builder Agent' for designing RESTful APIs. Builders can explore the registry to find components that fit their project needs, contribute their own creations, or integrate the registry's data feeds into their development workflows. The project also provides documentation for contributing content and integrating with its API or MCP package.
Caveats and source limits
The provided source material describes HeyClaude as an "unofficial community project." While it aims for a human-reviewed and AI-assisted quality gate, the exact nature and rigor of this review process are not detailed. The excerpt mentions "fresh release" and a latest release of mcp-v0.11.0, but specific release dates for the project or its components are not provided beyond a general publication date for the repository metadata. The excerpt also notes "5 AI signals, 4 developer signals" without defining what these signals represent or how they are measured. The contribution eligibility and rewards are stated to follow "Gittensor's current rules," which are not elaborated upon in the provided text. The exact pricing for any commercial listings or services is not mentioned.
Sources
Claim check: 5/5 supported claims - 5 evidence links - 100% avg confidence
- HeyClaude is a curated registry and distribution surface for Claude and AI-workflow assets.supported - github.com
- The registry includes agents, MCP servers, skills, commands, hooks, rules, guides, tools, jobs, Raycast feeds, static data exports, and an npm MCP package.supported - github.com
- The registry contains 1388+ file-backed entries across 10 sections.supported - github.com
- The project has a latest release of mcp-v0.11.0.supported - github.com
- HeyClaude is an unofficial community project.supported - github.com
Caveats
- Described as an unofficial community project.
- Single-source caution: verify critical details at the linked source.
Radar score 78/100 - how it was calculated
- Reliability 82: GitHub metadata supports source trust
- Freshness 8: Fresh GitHub release date
- Novelty 73: Fresh GitHub release
- Technical 85: Repository technical metadata
- Developer 96: Developer tooling signals
- Ecosystem 72: Fresh GitHub release
- Confidence 96: Claims have reliable evidence