This MCP server implementation fetches relevant content from Supavec, a vector database service. Developed by Taishi, it provides a tool for retrieving embeddings and associated content, integrating seamlessly with the Supavec API. The server is designed for use cases requiring efficient retrieval of contextually relevant information, such as enhancing AI assistants with up-to-date knowledge or powering semantic search applications.
Cognium trust score
100%
Tier
Verified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-19.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.