Chroma
Summary
Chroma MCP Server provides vector database integration for LLM applications, enabling AI models to create and manage collections of data with vector search capabilities. Built by Chroma Core, it supports multiple client types (ephemeral, persistent, HTTP, and cloud), offers comprehensive collection management tools, and enables document operations including adding, querying, and retrieving with advanced filtering options. The implementation integrates seamlessly with Claude Desktop through simple configuration options and supports environment variables for flexible deployment, making it ideal for workflows requiring memory capabilities such as knowledge bases and context-aware conversations.
Available Actions(12)
chroma_list_collections
List all collections with pagination support
chroma_create_collection
Create a new collection with optional HNSW configuration
chroma_peek_collection
View a sample of documents in a collection
chroma_get_collection_info
Get detailed information about a collection
chroma_get_collection_count
Get the number of documents in a collection
chroma_modify_collection
Update a collection's name or metadata
chroma_delete_collection
Delete a collection
chroma_add_documents
Add documents with optional metadata and custom IDs
chroma_query_documents
Query documents using semantic search with advanced filtering
chroma_get_documents
Retrieve documents by IDs or filters with pagination
chroma_update_documents
Update existing documents' content, metadata, or embeddings
chroma_delete_documents
Delete specific documents from a collection
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