# 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

Tagged `python`, `seo`: 2 items.

- [Google Search Console MCP Server](https://hebbmind.com/es/mcp/mcp-gsc.md): [MCP] Connects Google Search Console so agents can analyze queries, clicks and rankings, compare periods, check URL indexing status and manage sitemaps. Not an official Google project; you need your own Google Cloud OAuth credentials or a service account.
- [Python SEO Analyzer](https://hebbmind.com/es/cli/python-seo-analyzer.md): [CLI] Crawls an entire site, counts words and keywords per page, and checks technical SEO such as titles, meta descriptions, image alt text, H1s and social tags. Outputs JSON by default or an HTML report for agents to act on. Needs Python; the optional AI content review needs an API key.