#108108th of 111 in MCP servers for developers
mcp-server-qdrant
MCP server that stores and searches semantic memories in Qdrant
- Stars
- 1.6k
- License
- Apache-2.0
- Last commit
- Nov 2026
- Last release
- Dec 2025
- Language
- Python
1,349 on 21 Apr 20261,567 on 10 Nov 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
Official Qdrant MCP server exposing two tools, `qdrant-store` and `qdrant-find`, so an MCP client can save text with optional JSON metadata and retrieve it by semantic search. It embeds with FastEmbed (default `sentence-transformers/all-MiniLM-L6-v2`) and connects to a Qdrant server or a local on-disk database. Tool descriptions are configurable, so it can act as a code-snippet store for Cursor, Windsurf or Claude Code.
Who it is for: Developers giving MCP clients a semantic memory or snippet store on Qdrant
Strengths
- Runs with a single `uvx mcp-server-qdrant` command, no install step
- Supports stdio, SSE and streamable-http transports
- Works with a remote Qdrant URL or a local path via QDRANT_LOCAL_PATH
- Read-only mode and custom tool descriptions set through environment variables
Weaknesses
- Only FastEmbed embedding models are supported
- Only two tools: store and find, no delete or collection management
- Stores free text plus metadata; it does not index a repository itself
- QDRANT_URL and QDRANT_LOCAL_PATH cannot be set together
What it needs
- Docker
- Needs Qdrant (server or local path), FastEmbed
- Models: FastEmbed models, sentence-transformers/all-MiniLM-L6-v2 (default)
- port 8000
Quick answers
Is mcp-server-qdrant open source?
Yes. Its code is on GitHub under the Apache-2.0 license.
Can you run mcp-server-qdrant with Docker?
Yes. Its repository has a Docker setup: a Dockerfile, a Compose file or a published image.
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