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Qdrant MCP Integration for Codex
Connect Qdrant to Codex through the local KosmoKrator MCP gateway with scoped tools, credentials, and write policy.
Connect Qdrant to Codex
Use KosmoKrator as a local MCP proxy for Codex so coding sessions can reach selected integrations with explicit write policy.
Register kosmo mcp:serve as a local stdio server and choose the integration allowlist. The gateway is local, scoped to this integration, and starts with
--write=deny so Codex can inspect read-capable tools without receiving write access by default.
Qdrant MCP Config for Codex
Keep write access denied or ask-based unless the workspace is trusted.
{
"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 Codex
Codex 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. |