LanceDB (Serverless Vector DB) MCP Server
Manage vectorized data via LanceDB — perform similarity searches, create tables, and manage multi-modal embeddings.
Vinkius AI Gateway suporta streamable HTTP e SSE.
Funciona com todos os agentes de IA que você já usa
…e qualquer cliente compatível com MCP
LanceDB MCP Server: veja o seu AI Agent em ação
Capacidades integradas (6)
create_table
Provision a new LanceDB table with a strict schema
delete_table
Irreversibly vaporize an entire LanceDB vector table
get_table
Get precise schema and metadata for a specific LanceDB table
insert_rows
Data dynamically updates the underlying ANN index. Insert structured row payloads and vectors into a table
list_tables
List all vectorized tables residing in LanceDB
vector_search
Perform a highly-optimized KNN Vector similarity search
O que esse conector desbloqueia
Connect your LanceDB Cloud account to any AI agent and take full control of your serverless vector storage and RAG infrastructure through natural conversation.
What you can do
- Vector Orchestration — List all vectorized tables and retrieve precise schema metadata, including tensor dimensions and vector topologies directly from your agent
- Similarity Search — Execute highly-optimized KNN (K-Nearest Neighbor) lookups to retrieve semantically related rows based on embedding array similarity
- Dynamic Ingestion — Insert new structured row payloads and vectors into existing tables, updating the underlying ANN index in real-time
- Table Management — Provision new columnar vector tables declaring specific Apache Arrow schemas and multi-dimensional layouts required for AI workloads
- Database Audit — Discover active table boundaries and verify storage configurations assigned to your serverless database instance securely
- Resource Cleanup — Irreversibly delete entire vector tables to maintain a clean and optimized data environment for your AI applications
How it works
1. Subscribe to this server
2. Enter your LanceDB API URL, API Key, and Database Name
3. Start managing your vector storage from Claude, Cursor, or any MCP-compatible client
Who is this for?
- RAG Developers — perform semantic searches and verify document retrieval results through natural conversation without manual Python scripts
- Data Engineers — provision and manage vector tables with strict Apache Arrow schemas to power multi-modal AI applications
- AI Architects — monitor vector topologies and audit storage usage across multiple serverless database instances efficiently
Perguntas frequentes
Dê aos seus agentes de IA o poder do LanceDB
Acesse o LanceDB e mais de 2.000 servidores MCP — prontos para seus agentes usarem, agora mesmo. Sem código cola. Sem integrações customizadas. Apenas plugue o Vinkius AI Gateway e deixe seus agentes trabalharem.
Mais nesta categoria
Pinecone
7 ferramentasEquip your AI agent to manage your Pinecone vector databases. Query embeddings, fetch metrics, manage collections, and run stats natively via chat.
Notion Calendar (formerly Cron)
10 ferramentasManage scheduling via Notion Calendar — create events, track team availability, and manage scheduling links directly from any AI agent.
Datadog
11 ferramentasMonitor applications via Datadog — query performance metrics, search logs, and list active monitors directly from any AI agent.
Você também pode gostar
General Motors
14 ferramentasAI connected car: control GM vehicles, check diagnostics, and track location via agents.
Landbot
8 ferramentasEmpower your AI to generate, route, and interact with conversational chatbots and customers naturally.
Coolify
10 ferramentasManage self-hosting via Coolify — monitor servers, deploy applications, manage databases, and trigger builds directly from any AI agent.