KosmoKrator

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Qdrant MCP Integration for CrewAI

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

6 functions 4 read 2 write API key auth
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Connect Qdrant to CrewAI

Expose KosmoKrator integrations to CrewAI workers as scoped local tools.

Wrap kosmo integrations:call for specific tasks or connect workers to a local MCP gateway. The gateway is local, scoped to this integration, and starts with --write=deny so CrewAI can inspect read-capable tools without receiving write access by default.

Qdrant MCP Config for CrewAI

Use per-worker integration scopes to avoid giving every worker every tool.

{
  "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 CrewAI

CrewAI 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

Qdrant CLIUse direct JSON commands instead of MCP discovery. Qdrant MCPFull gateway reference and MCP tool names. KosmoKrator for CrewAIClient-level gateway setup.