by qdrant · MCP Server · ★ 1.4k
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mcp-server-qdrant: A Qdrant MCP server The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. This repository is an example of how to create a MCP server for Qdrant, a vector search engine. Overview An official Model Context Protocol server for keeping and retrieving memories in the Qdrant vector search engine. It acts as a semantic memory layer on top of the Qdrant database. Components Tools Store some information in the Qdrant database Input: (string): Information to store (JSON): Optional metadata to store (string): Name of the collection to store the information in. This field is required if there are no default collection name. If there is a default collection name, this field is not enabled. Returns: Confirmation message Retrieve relevant information from the Qdrant database Input: (string): Query to use for searching
| Stars | 1,370 |
| Forks | 267 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.948/100 |
| Open Issues | 43 |
| Last Updated | 2026-04-27 |
| Created | 2024-12-02 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~50k |
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mcp-server-qdrant is An official Qdrant Model Context Protocol (MCP) server implementation. It is categorized as a MCP Server with 1.4k GitHub stars.
mcp-server-qdrant is primarily written in Python. It covers topics such as claude, cursor, llm.
You can find installation instructions and usage details in the mcp-server-qdrant GitHub repository at github.com/qdrant/mcp-server-qdrant. The project has 1.4k stars and 267 forks, indicating an active community.
mcp-server-qdrant is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-server-qdrant on Agent Skills Hub include Unity-MCP, dbhub, PrismerCloud. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.