4,000+ servers built on MCP Fusion
Vinkius
CursorIDE
Why use LanceDB (Serverless Vector DB) MCP Server with Cursor?

Bring Vector Search
to Cursor

Create your Vinkius account to connect LanceDB (Serverless Vector DB) to Cursor and start using all 6 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Create TableDelete TableGet TableInsert RowsList TablesVector Search
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
LanceDB (Serverless Vector DB)

What is the LanceDB (Serverless Vector DB) MCP Server?

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

Built-in capabilities (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

Why Cursor?

Cursor's Agent mode turns LanceDB (Serverless Vector DB) into an in-editor superpower. Ask Cursor to generate code using live data from LanceDB (Serverless Vector DB) and it fetches, processes, and writes. all in a single agentic loop. 6 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

  • Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

  • Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

  • MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

  • VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

See it in action

LanceDB (Serverless Vector DB) in Cursor

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run LanceDB (Serverless Vector DB) with Vinkius?

The LanceDB (Serverless Vector DB) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 6 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

LanceDB (Serverless Vector DB)
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect LanceDB (Serverless Vector DB) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

LanceDB (Serverless Vector DB) and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect LanceDB (Serverless Vector DB) to Cursor through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures LanceDB (Serverless Vector DB) for Cursor

Every request between Cursor and LanceDB (Serverless Vector DB) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I perform a semantic similarity search using my agent?

Yes. Use the vector_search tool by providing the target Table name and a JSON array of floating-point numbers representing your query embedding. Your agent will return the k-nearest rows from LanceDB based on semantic similarity.

02

How do I create a new table with a specific Apache Arrow schema?

The create_table tool allows your agent to initialize a new columnar vector table. You just need to provide the desired Table name and a valid Apache Arrow schema mapping in JSON format defining dimensions and scalar fields.

03

Can my agent insert new embeddings directly into a LanceDB table?

Absolutely. Use the insert_rows tool to persist new data rows containing native embeddings and arbitrary JSON metadata. Your agent will handle the payload delivery, and LanceDB will automatically update its ANN index.

04

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

05

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

06

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

07

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

08

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

09

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Explore More MCP Servers

View all →