Mochow Vector Database
Provides direct access to Mochow vector database capabilities for managing databases, tables, and performing vector s...
What it does
Provides direct access to Mochow vector database capabilities for managing databases, tables, and performing vector similarity and full-text searches with filtering options.
The Mochow MCP server provides AI assistants with direct access to Mochow vector database capabilities through a Python implementation. Developed by Baidu, this server exposes tools for managing databases, tables, and vector indexes, as well as performing vector similarity and full-text searches. It integrates with the pymochow client library to communicate with Mochow instances, handling authentication via API keys and supporting operations like creating databases, rebuilding indexes, and executing parameterized queries with filters. The server is particularly valuable for users who need to interact with vector data for similarity search, manage vector embeddings, or perform hybrid searches combining vector similarity with scalar attribute filtering without leaving their conversation context.
Capabilities
Server
Quality
deterministic score 0.61 from registry signals: · indexed on pulsemcp · has source repo · 3 github stars · registry-generated description present