Can I use Chroma as a CLI?

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

Can I expose Chroma through MCP?

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

Where are Chroma credentials stored?

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

Can I deny write access for Chroma MCP tools?

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

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Chroma MCP, CLI, and Lua Integration for AI Agents

Chroma integration docs for AI agents: MCP gateway setup, Chroma CLI commands, Lua API reference, credentials, and function schemas.

Chroma for agents

Credentials can be configured manually in web or CLI hosts.

Use this integration from Lua code mode, the headless integrations CLI, or the KosmoKrator MCP gateway. The same package metadata powers all three surfaces.

Agent Surfaces

Chroma CLIHeadless setup, JSON output, direct function calls. Chroma MCPExpose selected tools to local MCP clients. Chroma LuaAgent-facing namespace and Lua reference. FeedbackReport missing tools, auth issues, or bad metadata.

Machine-Readable Metadata

integration_slug: chroma
route_slug: chroma
package: chroma
auth_strategy: api_key
cli_setup_supported: true
cli_runtime_supported: true
mcp_gateway_supported: true
lua_supported: true

Function Catalog

Function	Type	Parameters	Description
`chroma.chroma_get_health`	Read `read`	0	Check the health status of the Chroma vector database server. Returns heartbeat and version information.
`chroma.chroma_list_collections`	Read `read`	2	List all vector collections in Chroma. Returns collection names and IDs that can be used for further operations.
`chroma.chroma_count_collections`	Read `read`	0	Count vector collections in the configured Chroma tenant/database.
`chroma.chroma_get_collection`	Read `read`	1	Get details of a specific Chroma collection by its name or UUID, including metadata and document count.
`chroma.chroma_create_collection`	Write `write`	3	Create a new vector collection in Chroma. Collections are used to store and query document embeddings.
`chroma.chroma_update_collection`	Write `write`	4	Update collection name, metadata, or configuration.
`chroma.chroma_delete_collection`	Write `write`	1	Delete a collection and all records in it.
`chroma.chroma_add_documents`	Write `write`	6	Add documents with embeddings to a Chroma collection. Each document requires an ID and either embeddings or text content.
`chroma.chroma_update_documents`	Write `write`	6	Update existing records in a Chroma collection.
`chroma.chroma_upsert_documents`	Write `write`	6	Upsert records in a Chroma collection.
`chroma.chroma_delete_documents`	Write `write`	5	Delete records from a collection by IDs or metadata filters.
`chroma.chroma_count_documents`	Read `read`	1	Count records in a Chroma collection.
`chroma.chroma_query_documents`	Read `read`	9	Search for similar documents in a Chroma collection using query embeddings or text. Returns the most similar documents ranked by distance.
`chroma.chroma_get_document`	Read `read`	7	Retrieve specific documents from a Chroma collection by their IDs. Returns the full documents including text, embeddings, and metadata.