# Vector Search MCP Server

> MCP server for semantic data search enabling embedding processing, similarity matching, and data partitioning. Setup involves environment variables, embedding model, and collection creation, with integration support for various embedding models.

- **URL:** https://github.com/modelcontextprotocol/servers/tree/main/src/vector-search
- **Category:** Search Rag
- **Tags:** Vector Search, Semantic Search, Embeddings
- **Updated:** 2026-04-22 14:14
- **Canonical page:** https://mcpserver.ever.works/tr/items/vector-search-mcp-server

## Details

## Overview

Vector Search MCP server provides semantic data search capabilities.

## Core Features

- Embedding processing
- Similarity matching
- Data partitioning

## Setup Requirements

- Environment variables
- Embedding model
- Collection creation

## Security Aspects

- Memory optimization
- Data compression

## Integration Capabilities

Integration with various embedding models.

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