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.
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
Method 1, Agent Skill Exchange
- Install from the marketplace listing: https://agentskillexchange.com/skills/qdrant-mcp-server-vector-search-semantic-memory/
Method 2, Git clone
git clone https://github.com/agentskillexchange/skills.git && cd skills/skills/qdrant-mcp-server-vector-search-semantic-memory
Method 3, Download ZIP
- Download the repository ZIP and extract
skills/qdrant-mcp-server-vector-search-semantic-memory.
Method 4, Manual copy
- Copy this skill folder into your local skills directory, then reload your agent tooling.
Method 5, Fork and sync
- Fork the repository if you want to maintain local edits while syncing upstream changes.