chroma-mcp
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Chroma MCP Server is an open-source embedding database server that facilitates the integration of LLM applications with external data sources using the Model Context Protocol.
Chroma MCP Server is designed to provide seamless integration between LLM applications and external data sources or tools. It offers a standardized framework to provide LLMs with the necessary context by leveraging Chroma's data retrieval capabilities. The server allows AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, metadata filtering, and more. Chroma MCP supports various client types, including ephemeral, persistent, HTTP, and cloud clients, making it versatile for different deployment scenarios. It also supports multiple embedding functions, allowing users to choose the best fit for their application needs.
Features
- Flexible Client Types: Supports ephemeral, persistent, HTTP, and cloud clients for various deployment needs.
- Collection Management: Allows creation, modification, deletion, and management of collections with advanced configuration options.
- Document Operations: Facilitates adding, querying, retrieving, and deleting documents with advanced filtering and search capabilities.
- Embedding Functions: Supports multiple embedding functions like default, cohere, openai, jina, voyageai, and roboflow.
- Environment Configuration: Offers configuration through environment variables and .env files for flexible setup.
Tools
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
