Can I use Qdrant as a CLI?

Yes. KosmoKrator exposes a Qdrant CLI through kosmo integrations:call and the provider shortcut command. Commands can return JSON for scripts, CI, and coding agents.

Can I expose Qdrant through MCP?

Yes. The KosmoKrator MCP gateway can expose selected Qdrant tools to clients such as Claude Code, Cursor, Codex, and other MCP-compatible tools.

Where are Qdrant credentials stored?

Qdrant credentials are configured in KosmoKrator's local integration settings and reused by CLI, Lua, and MCP gateway surfaces.

Can I deny write access for Qdrant MCP tools?

Yes. Start the gateway with --write=deny for read-only clients, or use ask/allow only for trusted workspaces.

database

Qdrant CLI for Coding Agents

Use the Qdrant CLI for coding agents with headless JSON commands, schema discovery, credentials, and permission controls.

6 functions 4 read 2 write API key auth

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Qdrant CLI for Coding Agents

Let coding agents discover schemas and execute integration functions through CLI commands or MCP.

Use this pattern when another coding agent needs exact commands and schema discovery. The Qdrant CLI uses the same integration registry as the TUI, Lua runtime, and MCP gateway, but returns predictable command output for automation.

Command Shape

# Qdrant CLI for Coding Agents
kosmokrator integrations:configure qdrant --set api_key="$QDRANT_API_KEY" --enable --read allow --write ask --json
kosmo integrations:call qdrant.qdrant_list_collections '{}' --json

Discovery Before Execution

Agents and scripts can inspect Qdrant docs and schemas before choosing a function.

kosmo integrations:docs qdrant --json
kosmo integrations:docs qdrant.qdrant_list_collections --json
kosmo integrations:schema qdrant.qdrant_list_collections --json
kosmo integrations:search "Qdrant" --json
kosmo integrations:list --json

Useful Qdrant CLI Functions

Function	Type	Parameters	Description
`qdrant.qdrant_list_collections`	Read	none	List all vector collections in the Qdrant cluster. Returns collection names and basic metadata.
`qdrant.qdrant_get_collection`	Read	name	Get detailed information about a specific Qdrant collection, including vector configuration, index status, and point count.
`qdrant.qdrant_create_collection`	Write	name, vectors, hnsw_config, optimizers_config, quantization_config, replication_factor, shard_number	Create a new vector collection in Qdrant. You must specify the vector configuration (size, distance metric). Optionally provide HNSW, quantization, and optimization settings.
`qdrant.qdrant_search`	Read	collection, vector, vector_name, filter, limit, offset, with_payload, with_vectors, score_threshold	Search for the closest vectors in a Qdrant collection. Supports vector similarity search with optional filtering, payload selection, and scoring.
`qdrant.qdrant_upsert_points`	Write	collection, points, wait, ordering	Insert or update points (vectors with optional payloads) in a Qdrant collection. Each point requires an ID and a vector. Payloads are optional metadata.
`qdrant.qdrant_get_current_user`	Read	none	Get information about the Qdrant cluster, including cluster status, node information, and the authenticated user context.

Automation Notes

Use --json for machine-readable output.
Keep credentials out of argv by using environment variables or stored KosmoKrator configuration.
Configure read/write policy before unattended runs; use --force only for trusted automation.
Use the MCP gateway instead when the agent needs dynamic tool discovery inside a conversation.

Related Qdrant CLI Pages

CI Qdrant CLI for CI. Cron Jobs Qdrant CLI for cron jobs. Shell Scripts Qdrant CLI for shell scripts. Headless Automation Qdrant CLI for headless automation.