{"page":1,"limit":100,"total":1,"total_catalog":69077,"catalog_meta":{"core_certified":59946,"community_indexed":9131,"aggregate_tracked":64349,"total_all":133426,"tiers_doc":"core = evidence-gated (adoption/verification/age) | community = indexed with weak signal, trust<=55 | aggregate = tracking-only inventory (see /api/community)"},"total_pages":1,"has_next":false,"has_prev":false,"sources":{"github":12130,"community-submitted":18,"npm-registry":24788,"pypi":14311,"smithery":6195,"official-registry":9076,"crates":1933,"docker":625,"community-submission":1},"skills":[{"id":"mn-sm2-00794","name":"m-g-alaeldin/auracite","slug":"m-g-alaeldin-auracite","description":"AuraCite measures how AI engines mention, cite, and recommend brands, with an evidence-grade methodology for German and international e-commerce teams. This hosted MCP server exposes that data to any ","category":"Communication","price":0,"free":true,"sentinel_score":5,"review_status":"auto-scanned","risk_level":"red","install":"npx -y @smithery/cli@latest install m-g-alaeldin/auracite","author":"m-g-alaeldin","version":"0.0.0","tags":["mcp"],"source":{"type":"smithery","url":"https://auracite.de/mcp-integration.html","use_count":0,"verified":false},"indexed_at":"2026-09-10","tier":"community","trust_score_100":45,"badge_url":"https://www.marketnow.site/api/badge/m-g-alaeldin-auracite.svg","page_url":"https://www.marketnow.site/s/m-g-alaeldin-auracite"}],"_links":{"self":"/api/skills?page=1&limit=100&q=m-g-alaeldin%2Fauracite","next":null,"prev":null}}