Qdrant with OpenAI Embeddings

v1.0.0Search & Data Extractionstable

This server enables semantic search capabilities using Qdrant vector database and OpenAI embeddings, allowing users to query collections, list available collections, and view collection information.

mcp-qdrant-server-with-openai-embeddingsmcpai-integration
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What is Qdrant with OpenAI Embeddings?

Qdrant with OpenAI Embeddings is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to this server enables semantic search capabilities using qdrant vector database and openai embeddings, allowing users to query collections, list available collections, and view collection information.

This server enables semantic search capabilities using Qdrant vector database and OpenAI embeddings, allowing users to query collections, list available collections, and view collection information.

This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • This server enables semantic search capabilities using Qdran

Use Cases

Semantic search with vector database
Query collections and view details
amansingh0311

Maintainer

LicenseMIT
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-qdrant-server-with-openai-embeddings

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Qdrant with OpenAI Embeddings

What is Qdrant with OpenAI Embeddings?

Qdrant with OpenAI Embeddings is a Model Context Protocol (MCP) server that this server enables semantic search capabilities using qdrant vector database and openai embeddings, allowing users to query collections, list available collections, and view collection information. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Qdrant with OpenAI Embeddings?

Follow the installation instructions on the Qdrant with OpenAI Embeddings GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Qdrant with OpenAI Embeddings?

Qdrant with OpenAI Embeddings works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Qdrant with OpenAI Embeddings free to use?

Yes, Qdrant with OpenAI Embeddings is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

Browse More Search & Data Extraction MCP Servers

Explore all search & data extraction servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-qdrant-server-with-openai-embeddings": { "command": "npx", "args": ["-y", "mcp-qdrant-server-with-openai-embeddings"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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