database
Qdrant MCP Integration for Cursor
Connect Qdrant to Cursor through the local KosmoKrator MCP gateway with scoped tools, credentials, and write policy.
Connect Qdrant to Cursor
Expose selected local integrations to Cursor through KosmoKrator without configuring each service as its own MCP server.
Create or update .cursor/mcp.json with a KosmoKrator stdio server entry. The gateway is local, scoped to this integration, and starts with
--write=deny so Cursor can inspect read-capable tools without receiving write access by default.
Qdrant MCP Config for Cursor
Use the same KosmoKrator install and integration credentials that power terminal and headless runs.
{
"mcpServers": {
"kosmokrator-qdrant": {
"type": "stdio",
"command": "kosmo",
"args": [
"mcp:serve",
"--integration=qdrant",
"--write=deny"
]
}
}
} Run the Gateway Manually
kosmokrator mcp:serve --integration=qdrant --write=deny Why Use KosmoKrator Here
Expose only Qdrant instead of a broad multi-service tool list.
Reuse credentials already configured for the KosmoKrator CLI and Lua runtime.
Start read-only, then opt into ask or allow for trusted workspaces.
Qdrant Tools Visible to Cursor
Cursor sees stable MCP tool names generated from the Qdrant integration catalog.
| MCP tool | Source function | Type | Description |
|---|---|---|---|
integration__qdrant__qdrant_list_collections | qdrant.qdrant_list_collections | Read | List all vector collections in the Qdrant cluster. Returns collection names and basic metadata. |
integration__qdrant__qdrant_get_collection | qdrant.qdrant_get_collection | Read | Get detailed information about a specific Qdrant collection, including vector configuration, index status, and point count. |
integration__qdrant__qdrant_create_collection | qdrant.qdrant_create_collection | Write | Create a new vector collection in Qdrant. You must specify the vector configuration (size, distance metric). Optionally provide HNSW, quantization, and optimization settings. |
integration__qdrant__qdrant_search | qdrant.qdrant_search | Read | Search for the closest vectors in a Qdrant collection. Supports vector similarity search with optional filtering, payload selection, and scoring. |
integration__qdrant__qdrant_upsert_points | qdrant.qdrant_upsert_points | Write | Insert or update points (vectors with optional payloads) in a Qdrant collection. Each point requires an ID and a vector. Payloads are optional metadata. |
integration__qdrant__qdrant_get_current_user | qdrant.qdrant_get_current_user | Read | Get information about the Qdrant cluster, including cluster status, node information, and the authenticated user context. |