AIBase
EN
Explore
Lancedb MCP Server
L

Lancedb MCP Server

A serverless MCP service based on LanceDB, providing document storage, retrieval, and table information query functions
DatabaseKnowledge management and memory#Document Storage#Vector Retrieval#Table Management.Python
2 points
8.1K
Open Site

Overview

Content Details

Alternatives

What is the LanceDB MCP Server?

The LanceDB MCP Server is a lightweight, serverless solution that leverages LanceDB's vector database capabilities to efficiently store and retrieve documents. It serves as the foundation for building more complex Model Context Protocol (MCP) applications.

How to use the LanceDB MCP Server?

Simply configure it in the Claude MCP configuration file and use its three main tools: document ingestion, document retrieval, and table information viewing.

Application Scenarios

Suitable for applications that require semantic search functionality for document storage, such as blog archives, knowledge bases, or content management systems.

Key Features

Document Ingestion
Supports input of documents in multiple formats, including text, images, and structured data.
Efficient Retrieval
Utilizes LanceDB's vector database technology to achieve fast and accurate document retrieval.
Scalability
As a reference implementation, it can be easily extended to add custom features and integrate other services.

How to Use

Install the Server
Download the code from the GitHub repository and install the dependencies.
Configure Settings
Edit the configuration file to specify LanceDB connection information and other parameters.
Start the Service
Run the startup script to start the server listening for requests.

Usage Examples

Document Storage and Retrieval
Store a text file in LanceDB and retrieve relevant results.
Extended Function Integration
Add custom modules to implement specific business logic.
What is the MCP protocol?
Do I need to manage the LanceDB database separately?
Can I extend this server to add custom features?

Related Resources

LanceDB Documentation
Official documentation for the LanceDB vector database.
MCP Protocol Reference
Detailed information about the Model Context Protocol.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
7.8K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
6.4K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.1K
4.5 points
H
Haiku.rag
Haiku RAG is an intelligent retrieval - augmented generation system built on LanceDB, Pydantic AI, and Docling. It supports hybrid search, re - ranking, Q&A agents, multi - agent research processes, and provides local - first document processing and MCP server integration.
Python
10.5K
5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
A
Apple Notes MCP
A server that provides local Apple Notes database access for the Claude desktop client, supporting reading and searching of note content.
Python
13.6K
4.3 points
M
MCP Alchemy
Certified
MCP Alchemy is a tool that connects Claude Desktop to multiple databases, supporting SQL queries, database structure analysis, and data report generation.
Python
15.4K
4.2 points
P
Postgresql MCP
A PostgreSQL database MCP service based on the FastMCP library, providing CRUD operations, schema inspection, and custom SQL query functions for specified tables.
Python
14.7K
4 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
26.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
73.6K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
36.0K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.7K
4.5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.4K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.9K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
22.2K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2026AIBase