MCP Server Weaviate
M

MCP Server Weaviate

Weaviate's MCP Server supports quick installation through Smithery and integration with Claude Desktop, providing vector search and storage functions.
3 points
16.1K

What is the Weaviate MCP Server?

The Weaviate MCP Server is a tool based on the Model Context Protocol (MCP). By integrating with the Weaviate database, it provides efficient vector storage, retrieval, and context management capabilities. It can be used as a plugin for language models to help developers quickly build intelligent applications.

How to Use the Weaviate MCP Server?

First, install the Weaviate MCP Server, and then configure it in your application. You can start using its powerful features through simple command - line settings and API calls.

Applicable Scenarios

Suitable for application scenarios that require vector storage, semantic search, and context enhancement, such as intelligent customer service, recommendation systems, knowledge graphs, etc.

Main Features

Vector Storage and Retrieval
Achieve efficient data storage and semantic retrieval through the Weaviate database.
Context Enhancement
Provide rich context information for language models to improve the quality of generated content.
Multi - platform Compatibility
Support multiple client and server environments, facilitating developer integration.
Advantages
Powerful vector storage and retrieval capabilities
Easy to integrate with existing systems
Support for multiple language models
Open - source with an active community
Limitations
Requires a certain technical foundation for configuration and deployment
May need to optimize performance for large - scale data processing

How to Use

Install Dependencies
Ensure that you have installed the uv tool (used to start the MCP server). You can learn more installation methods through the official documentation.
Clone the Code Repository
Clone the code of the Weaviate MCP Server from GitHub or other code hosting platforms.
Start the Server
Run the script to start the Weaviate MCP Server and ensure that the configuration is correct.

Usage Examples

Intelligent Customer Service
Provide context enhancement for customer service robots through the Weaviate MCP Server to improve the quality of conversations.
Recommendation System
Leverage Weaviate's vector storage function to recommend relevant content based on user preferences.

Frequently Asked Questions

Does the Weaviate MCP Server support custom models?
How to solve performance bottleneck problems?

Related Resources

Weaviate Official Documentation
Gain in - depth understanding of Weaviate's functions and usage methods.
GitHub Code Repository
Get the latest code and example projects.
Weaviate Community Forum
Exchange experiences with other developers.

Installation

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

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.6K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.2K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
5.1K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.4K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.4K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.4K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
7.7K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
8.2K
4.5 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
17.7K
4.5 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
21.5K
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
31.8K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
61.5K
4.3 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#
26.7K
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
57.0K
4.5 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
19.8K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
40.8K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase