Chroma

About

Chroma MCP Server implements the Model Context Protocol, enabling seamless integration between Large Language Model (LLM) applications and Chroma, an open-source embedding database. It allows AI models to create collections, store generated data and user inputs, and retrieve information efficiently using vector search, full text search, and metadata filtering. This provides a standardized framework for LLMs to access the contextual information they need, enhancing their performance and capabilities.

Key Features

• Supports ephemeral, persistent, HTTP, and cloud client types for flexible deployment.
• Enables document operations such as adding, querying, filtering, and retrieving documents by IDs or filters.
• Includes full text search functionalities.
• Offers comprehensive collection management, including creation, modification, deletion, listing, and information retrieval.
• Provides semantic search capabilities for enhanced data retrieval.

Use Cases

• Creating shared knowledge bases for AI models.
• Adding memory to context windows for LLMs.
• Integration with Claude Desktop for enhanced LLM application development.