Qdrant MCP
Qdrant's vector DB MCP — 1.5K stars, Apache 2.0.
About
Qdrant MCP (qdrant/mcp-server-qdrant, 1,548 stars, Apache-2.0) is Qdrant's official MCP server: let agents store and search vectors — semantic memory for AI.
Pushed Sep 2026. The vector-memory MCP — for agents that need persistent semantic memory (not just context), Qdrant via MCP is the path. Pairs with the qdrant vector DB (already in the catalog).
What it can do
- • Vector storage via MCP\n• Semantic search\n• Agent memory\n• Official Qdrant
Setup
- Run Qdrant (Docker or Cloud).\n2. Install the MCP server.\n3. Configure Qdrant URL.
Prerequisites
A Qdrant instance; the MCP server.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier). Official Qdrant MCP with Apache-2.0 and active maintenance. Docked three points: (1) smaller community (1.5K); (2) needs Qdrant; (3) newer integration. For agent vector memory.
★ 1,548 GitHub stars
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 6.2/10
- Maintenance · recency, releases, issue load
- 7.8/10
- Openness · license + docs
- 9.1/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · 1,548 GitHub stars (log-scaled vs catalog peers)
- · last push 39d ago; 8 releases/12mo; 25 open issues
- · manual review: official Qdrant; needs Qdrant; newer; license: Apache-2.0
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.