MariaDB Cloud Hybrid RAG Search
This MariaDB Cloud hybrid search implementation combines semantic vector search capabilities with real-time web search augmentation through a Brave Search MCP server. The system uses MariaDB's native vector search with cosine distance, generating embeddings via SentenceTransformer's all-MiniLM-L6-v2 model, while simultaneously querying external web results through a FastMCP-powered Brave API integration. This architecture keeps vector data directly in the database, making it ideal for RAG workflows that need both internal knowledge retrieval and real-time external information augmentation.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve MariaDB Cloud Hybrid RAG Search from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.