Chroma MCP Server

what is Chroma MCP Server? Chroma MCP Server is a Model Context Protocol (MCP) server implementation that provides vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage. how to use Chroma MCP Server? To use Chroma MCP Server, start the server using the command uv run chroma and interact with it using MCP tools to create, read, update, and delete documents or to perform semantic searches. key features of Chroma MCP Server? Semantic Search: Find documents based on meaning using Chroma's embeddings. Metadata Filtering: Filter search results by metadata fields. Content Filtering: Additional filtering based on document content. Persistent Storage: Data persists in local directory between server restarts. Comprehensive Error Handling: Clear messages for common errors. Automatic Retry Logic: For transient failures. use cases of Chroma MCP Server? Managing academic papers and research documents. Implementing a semantic search engine for document retrieval. Storing and filtering documents based on metadata for various applications. FAQ from Chroma MCP Server? What programming language is required to run Chroma MCP Server? Python 3.8+ is required to run the server. Can I use Chroma MCP Server for large datasets? Yes, it is designed to handle document storage and retrieval efficiently. Is there a way to test the server's functionality? Yes, you can use the MCP Inspector for interactive testing of CRUD operations and search functionality.

As an MCP (Model Context Protocol) server, Chroma MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Chroma MCP Server, start the server using the command uv run chroma and interact with it using MCP tools to create, read, update, and delete documents or to perform semantic searches. key features of Chroma MCP Server? Semantic Search: Find documents based on meaning using Chroma's embeddings. Metadata Filtering: Filter search results by metadata fields. Content Filtering: Additional filtering based on document content. Persistent Storage: Data persists in local directory between server restarts. Comprehensive Error Handling: Clear messages for common errors. Automatic Retry Logic: For transient failures. use cases of Chroma MCP Server? Managing academic papers and research documents. Implementing a semantic search engine for document retrieval. Storing and filtering documents based on metadata for various applications. FAQ from Chroma MCP Server? What programming language is required to run Chroma MCP Server? Python 3.8+ is required to run the server. Can I use Chroma MCP Server for large datasets? Yes, it is designed to handle document storage and retrieval efficiently. Is there a way to test the server's functionality? Yes, you can use the MCP Inspector for interactive testing of CRUD operations and search functionality.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.