data
Chroma MCP Integration for Cursor
Connect Chroma to Cursor through the local KosmoKrator MCP gateway with scoped tools, credentials, and write policy.
Connect Chroma 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.
Chroma MCP Config for Cursor
Use the same KosmoKrator install and integration credentials that power terminal and headless runs.
{
"mcpServers": {
"kosmokrator-chroma": {
"type": "stdio",
"command": "kosmo",
"args": [
"mcp:serve",
"--integration=chroma",
"--write=deny"
]
}
}
} Run the Gateway Manually
kosmokrator mcp:serve --integration=chroma --write=deny Why Use KosmoKrator Here
Expose only Chroma 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.
Chroma Tools Visible to Cursor
Cursor sees stable MCP tool names generated from the Chroma integration catalog.
| MCP tool | Source function | Type | Description |
|---|---|---|---|
integration__chroma__chroma_list_collections | chroma.chroma_list_collections | Read | List all vector collections in Chroma. Returns collection names and IDs that can be used for further operations. |
integration__chroma__chroma_get_collection | chroma.chroma_get_collection | Read | Get details of a specific Chroma collection by its name or UUID, including metadata and document count. |
integration__chroma__chroma_create_collection | chroma.chroma_create_collection | Write | Create a new vector collection in Chroma. Collections are used to store and query document embeddings. |
integration__chroma__chroma_add_documents | chroma.chroma_add_documents | Write | Add documents with embeddings to a Chroma collection. Each document requires an ID and either embeddings or text content. |
integration__chroma__chroma_query_documents | chroma.chroma_query_documents | Read | Search for similar documents in a Chroma collection using query embeddings or text. Returns the most similar documents ranked by distance. |
integration__chroma__chroma_get_document | chroma.chroma_get_document | Read | Retrieve specific documents from a Chroma collection by their IDs. Returns the full documents including text, embeddings, and metadata. |
integration__chroma__chroma_get_health | chroma.chroma_get_health | Read | Check the health status of the Chroma vector database server. Returns heartbeat and version information. |