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:
- Install the MCP client SDK for your platform
- Connect to the Vector Database MCP server
- Authenticate with your Vector Database credentials
- 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