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Qdrant MCP Server — MCP Servers

An official MCP server that integrates Qdrant vector search with AI assistants for semantic memory…

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Quick Info

Category
developer-tools

Tags

qdrant
mcp
vector-search
semantic-memory
embeddings
ai-integration

Overview

Qdrant MCP Server is the official Model Context Protocol implementation for Qdrant, a high-performance vector search engine. It enables AI assistants and IDEs to store and retrieve information as semantic memory, making context-aware interactions and knowledge persistence possible. The server exposes tools for storing arbitrary information with metadata and retrieving relevant data using semantic queries. It integrates seamlessly with MCP-compatible environments such as Claude Desktop, Cursor, and Windsurf. Configurable via environment variables, the server supports both remote Qdrant instances and local databases, with embeddings powered by FastEmbed and Sentence Transformers.

Key Features

Store information with optional metadata in Qdrant
Retrieve data using semantic search queries
Supports both remote Qdrant and local database paths
Configurable default collection names
Embedding support via FastEmbed and Sentence Transformers
Acts as a semantic memory layer for AI assistants
Environment variable–based configuration
Official Qdrant-maintained implementation

Use Cases

Enhance development workflows and productivity
Integrate Qdrant MCP Server with Claude and other AI assistants
Streamline developer-tools processes using MCP protocol