Vector Database

Community

Query and manage vector embeddings for RAG applications.

About Vector Database MCP Server

The Vector Database MCP server provides a comprehensive interface for AI applications to interact with vector database features. It enables AI assistants to help with various tasks related to data workflows.

Features

Tools
Resources

Category

Data
Getting Started

To use the Vector Database MCP server in your AI application, follow these steps:

  1. Install the MCP client SDK for your platform
  2. Connect to the Vector Database MCP server
  3. Authenticate with your Vector Database credentials
  4. Start using the tools, resources, and prompts provided by the server

Example Code


// Connect to the Vector Database MCP server
const server = await mcp.connect("vector database");

// Authenticate
await server.authenticate();

// Use a tool
const result = await server.tools.listRepositories({
  // Parameters
});

// Access a resource
const resource = await server.resources.repositoryContent({
  // Parameters
});

// Use a prompt
const response = await server.prompts.summarizePR({
  // Parameters
});
                      
Installation

npm

npm install @mcp/server-vector database

pip

pip install mcp-server-vector database
Compatible With
Claude for Desktop
Perplexity
Cursor
MCP Agent Framework