Deprecated 1 required secret
Chroma Cloud
Manage collections, documents, and vector search in Chroma embedding database
DatabaseDeveloper ToolsAI & Machine Learning
About
DEPRECATED: this server is no longer supported by the Obot MCP Catalog. No direct replacement is currently available. Create Chroma Cloud collections, store documents with embeddings, and retrieve data using vector search, full-text search, metadata filtering, and more.
Features
- Collection Management: Create, modify, delete, and list collections with configurable HNSW parameters
- Document Operations: Add, query, update, and delete documents with optional metadata
- Advanced Search: Semantic search with vector embeddings, full-text search, and metadata filtering
- Multiple Embedding Functions: Support for default, Cohere, OpenAI, Jina, Voyage AI, and Roboflow embedding functions
What you’ll need to connect
- Tenant ID: Your Chroma Cloud tenant identifier
- Database Name: Your database name
- API Key: Your Chroma Cloud API key
Examples
- Create Collection: “Create a collection named ‘customer-support’ with OpenAI embeddings”
- Add Documents: “Add these support messages to the collection with their metadata”
- Semantic Search: “Find documents similar to ‘billing issues’ in the support collection”
- Metadata Filtering: “Get all documents from the category ‘technical’ created after January 2025”
- Update Documents: “Update the documents in the collection”
Configuration
Environment variables
| Variable | Description | Required |
|---|---|---|
CHROMA_TENANT | Chroma Cloud tenant identifier | Yes |
CHROMA_DATABASE | Database name | Yes |
CHROMA_API_KEY | API key for Chroma Cloud | Yes |
Container runtime
- Image
ghcr.io/obot-platform/mcp-images/chroma:0.2.6-obot2- Port
8099- Path
/- Args
chroma-mcp, --client-type, cloud, --tenant, ${CHROMA_TENANT}, --database, ${CHROMA_DATABASE}, --api-key, ${CHROMA_API_KEY}