MCPMarket
Sell SkillsPower Your AgentsConnect
  1. Home
  2. Servers
  3. Qdrant

Qdrant

RGGHbyRGGH
•
2
•
Developer Tools
Data Science & ML
Database Management

Connects Large Language Models (LLMs) to Qdrant vector databases, enabling semantic search and retrieval through the Model Context Protocol.

Related MCPs

View more
  • neondatabase-labs

    Neon

    Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.

  • GLips

    Figma Context

    Provides AI coding agents with simplified Figma layout information via the Model Context Protocol.

  • 21st-dev

    Magic

    Generate modern UI components instantly from natural language descriptions within your IDE.

Related Skills

View all
  • openclaw

    Diagram Maker & Visualizer

    Generates professional SVG, HTML, and Excalidraw diagrams for software architecture, system flows, and educational concepts.

  • openclaw

    GH Issues Auto-Fixer

    Automates the end-to-end GitHub issue lifecycle by spawning sub-agents to implement code fixes, open pull requests, and resolve review comments.

  • openclaw

    Discord Integration

    Manages Discord operations including messaging, reactions, and channel management directly through Claude.

MCPMarket

Discover MCP servers that connect MCP clients like Claude and Cursor to your favorite tools. Browse the MCP Market to get started.

Browse

  • MCP Search
  • MCP Servers
  • MCP Clients
  • Agent Skills
  • MCP Market Hub
  • Categories
  • What is an MCP server?
  • Model Context Protocol

Rankings

  • Top MCPs Today
  • Top Agent Skills Today
  • Top 100 Agent Skills
  • Top 100 MCP Servers

About

  • News
  • Submit
  • Contact

© 2026 MCP Market. All rights reserved.·Privacy·Terms

Leverage the power of your Qdrant vector database for intelligent, context-aware search and retrieval by connecting it to Claude or any MCP-compatible client. This server acts as a bridge, transforming natural language queries into semantic searches, combining them with metadata filters, and performing direct vector operations. It provides a secure and efficient way to interact with your vector data, utilizing local text embedding generation for privacy and performance.

Key Features

01Remote Access via HTTP for Claude.ai and other MCP clients
02Direct vector operations including search, scroll, and count
03Semantic Text Search with natural language queries
04Local text embedding generation using FastEmbed
050 GitHub stars
06Filtered Search combining semantics with metadata filtering

Use Cases

01Integrating Qdrant vector data with LLMs for advanced conversational AI and RAG applications.
02Building applications that require intelligent, context-aware semantic search capabilities.
03Providing secure and private semantic search through local, on-device embedding generation.