An MCP server that interfaces with VikingDB, a high-performance vector database developed by ByteDance, enabling efficient vector storage and search capabilities. ​

Features

  • Integrates with VikingDB for vector data management​
  • Supports collection and index creation within VikingDB​
  • Facilitates efficient vector storage operations​
  • Enables high-performance vector search functionalities​
  • Provides a standardized interface for AI applications to interact with vector data​

Project Samples

Project Activity

See All Activity >

Follow VikingDB MCP Server

VikingDB MCP Server Web Site

You Might Also Like
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of VikingDB MCP Server!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Model Context Protocol (MCP) Servers

Registered

2025-04-07