# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README.
- Filter by type: append `?type=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions
- Filter by tag: append `?tag=<tag>` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags

Resources for Full-stack / Indie or ML / AI, Tagged `milvus`, `code-search`: 1 item.

> - Full-stack / Indie: General software work: coding-agent workflows, code review, debugging and Git collaboration.
> - ML / AI: Model training, evaluation and LLM application development.

- [Claude Context](https://hebbmind.com/mcp/claude-context.md): [MCP] From Zilliz: indexes your codebase as vectors in Milvus or Zilliz Cloud so coding agents find relevant code by semantic search, cutting context costs in large repos. Needs an embedding model (OpenAI, VoyageAI, Ollama and others) and a vector database.