AEO Score for mcp-server-qdrant: 35/100
Hi Qdrant team! I scanned the Qdrant MCP server with Clarvia.
Score: 35/100 (D — Needs Improvement)
AEO measures how discoverable an MCP server is to AI agents. Key factors: tool description completeness, structured error handling, and agent-discovery endpoints.
Badge:
[](https://clarvia.art/scan?url=https://github.com/qdrant/mcp-server-qdrant)
Full analysis: https://clarvia.art/scan?url=https://github.com/qdrant/mcp-server-qdrant
AEO Score for mcp-server-qdrant: 35/100
Hi Qdrant team! I scanned the Qdrant MCP server with Clarvia.
Score: 35/100 (D — Needs Improvement)
AEO measures how discoverable an MCP server is to AI agents. Key factors: tool description completeness, structured error handling, and agent-discovery endpoints.
Badge:
Full analysis: https://clarvia.art/scan?url=https://github.com/qdrant/mcp-server-qdrant