The qdrant-api-mcp server exposes Qdrant's Collections and Points APIs to AI agents. It provides tools for vector similarity search, filtering, and batch operations. It connects directly to Qdrant's vector search engine. Developers use it to integrate vector search capabilities into AI applications, enabling efficient similarity search and filtering over high-dimensional data.
The qdrant-api-mcp server exposes Qdrant's Collections and Points APIs to AI agents. It provides tools for vector similarity search, filtering, and batch operations. It connects directly to Qdrant's vector search engine. Developers use it to integrate vector search capabilities into AI applications, enabling efficient similarity search and filtering over high-dimensional data.
npx -y qdrant-api-mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"qdrant-api-mcp-npm": {
"command": "npx",
"args": [
"-y",
"npx -y qdrant-api-mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from qdrant-api-mcp?"
API Key Required
This server requires an API key from qdrant-api-mcp. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| QDRANT-API-MCP_API_KEY | Yes | Your qdrant-api-mcp API key |
"What resources are available in qdrant-api-mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in qdrant-api-mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in qdrant-api-mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.