---
title: "Qdrant MCP Server for Vector Search and Semantic Memory"
description: "An official Qdrant MCP server implementation that provides semantic memory capabilities for AI agents. Enables storing and retrieving information using vector search, acting as a persistent knowledge layer on top of the Qdrant vector database."
verification: "security_reviewed"
source: "https://github.com/qdrant/mcp-server-qdrant"
category:
  - "Integrations & Connectors"
framework:
  - "MCP"
tool_ecosystem:
  github_repo: "qdrant/mcp-server-qdrant"
  github_stars: 1314
---

# Qdrant MCP Server for Vector Search and Semantic Memory

An official Qdrant MCP server implementation that provides semantic memory capabilities for AI agents. Enables storing and retrieving information using vector search, acting as a persistent knowledge layer on top of the Qdrant vector database.

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/qdrant-mcp-server-vector-search-semantic-memory/)