mcp-server-qdrant and mcp-server-qdrant-enhanced

The enhanced Qdrant MCP server is a production-ready fork of the official Qdrant MCP server, making them competitors where the fork aims to replace the original for enterprise use cases by adding GPU acceleration and multi-vector support.

mcp-server-qdrant
63
Established
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 6/25
Adoption 1/25
Maturity 11/25
Community 12/25
Stars: 1,270
Forks: 239
Downloads:
Commits (30d): 1
Language: Python
License: Apache-2.0
Stars: 1
Forks: 1
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About mcp-server-qdrant

qdrant/mcp-server-qdrant

An official Qdrant Model Context Protocol (MCP) server implementation

This project helps AI application developers integrate their large language model (LLM) applications with external data sources. It allows you to feed unstructured information into a Qdrant vector database and retrieve semantically relevant information based on queries. AI engineers, LLM application developers, and anyone building AI-powered chat interfaces or custom AI workflows would use this.

AI development LLM applications vector databases semantic search context management

About mcp-server-qdrant-enhanced

bryankthompson/mcp-server-qdrant-enhanced

Enhanced Qdrant MCP Server is a production-ready fork of the original that transforms the basic MCP server into an enterprise-grade solution with GPU acceleration, multi-vector support, and automated deployment infrastructure.

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