Chroma
Createdprivetin
Provides vector database capabilities through Chroma for semantic document search and management.
About
Leverage Chroma's vector database capabilities with this Model Context Protocol (MCP) server implementation. It offers persistent document storage and retrieval, enabling semantic similarity search, metadata filtering, and comprehensive CRUD operations. The server includes error handling and retry logic for robust performance. Ideal for integrating advanced search and document management features into MCP-compatible workflows.
Key Features
- Semantic Search: Find documents based on meaning.
- Metadata Filtering: Filter search results by metadata fields.
- Persistent Storage: Data persists between server restarts.
- Comprehensive Error Handling: Clear error messages for common scenarios.
- Retry Logic: Automatic retries for transient failures
- 20 GitHub stars
Use Cases
- Semantic document search
- Metadata-driven document filtering
- Persistent document storage and management