KosmoKrator

database

Qdrant MCP Integration for Cursor

Connect Qdrant to Cursor through the local KosmoKrator MCP gateway with scoped tools, credentials, and write policy.

6 functions 4 read 2 write API key auth

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

Scoped tools

Expose only Qdrant instead of a broad multi-service tool list.

Local credentials

Reuse credentials already configured for the KosmoKrator CLI and Lua runtime.

Write policy

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 toolSource functionTypeDescription
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.

Related Qdrant Pages