LanceDB
This LanceDB MCP server, developed by Alex Komyagin, enables AI assistants to interact with LanceDB vector databases through natural language. It leverages the LanceDB Node.js client and Model Context Protocol to provide operations like querying, inserting, and managing vector data. Built with TypeScript and modern dependencies, it offers a bridge between large language models and efficient vector storage. The implementation is designed for developers and data scientists working on AI applications that require fast similarity search, recommendation systems, or semantic analysis on large datasets. It simplifies vector database operations for AI assistants, allowing them to perform complex queries and data manipulations using conversational language.
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.
Scan details: Circle-IR · 2026-09-19 · 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/adiom-data/lance-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve LanceDB 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.