LanceDB Vector Search
LanceDB-node is an MCP server that provides vector search capabilities using LanceDB and Ollama's embedding model. Developed by Vurtnec, it enables AI assistants to perform similarity searches on vector databases through a set of tools for adding vectors, searching by text or vector, and listing tables. The server connects to a local LanceDB database and uses Ollama for text-to-vector embedding conversion, making it particularly valuable for RAG (Retrieval Augmented Generation) applications where AI assistants need to search through document collections without switching context.
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 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/vurtnec/mcp-lancedb-node
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve LanceDB Vector 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.