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registry / software / qdrant
Qdrant
Qdrant is a high-performance vector search engine that helps build AI retrieval systems. It provides full-feature vector search at any scale with any deployment model, engineered for real-time retrieval with speed, accuracy, and scale for modern AI applications.
58
DISCOVER80
UNDERSTAND46
ADOPT80
OPERATE24
OverviewGET /v1/profile/qdrant
Overall
58
Discover
80
Understand
46
Adopt
80
Operate
24
22/38 applicable signals pass. Open the Capabilities tab for the full signal breakdown, or Issues for the highest-impact gaps.
Agent compatibility
Claude Code✓ TESTED
Codex✓ TESTED
Cursor✓ TESTED
Installed the published MCP server and ran a call end to end.
Score history+8 · 12mo
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Badge
agentready58/100
<a href="https://stackresolve.dev/registry/qdrant"><img src="https://api.stackresolve.dev/badge/qdrant.svg" alt="AgentReady score" /></a>
Frequently asked about Qdrant
What is Qdrant's AgentReady score?
Qdrant scores 58/100 on the AgentReady: discovery 80, understanding 46, adoption 80, operability 24. The score rates how ready Qdrant is for an AI agent to use without a human.
Does Qdrant have an MCP server?
Yes. Qdrant publishes an MCP server, so an AI agent can connect to it over the Model Context Protocol.
Does Qdrant have a free tier?
Yes, Qdrant has a free tier you can start on without a sales call.
Is Qdrant good for AI agents?
Qdrant is partially ready for AI agents, with an AgentReady of 58/100. It is strongest on discovery.