MCP server for Zvec vector database
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# Zvec MCP Server A Model Context Protocol (MCP) server for [Zvec](https://github.com/alibaba/zvec), a high-performance embedded vector database by Alibaba. ## Overview This MCP server enables LLMs to interact with Zvec vector database through well-designed tools. It provides comprehensive functionality for: - **Collection Management**: Create, open, and manage vector database collections - **Document Operations**: Insert, update, delete, and fetch documents with full CRUD support - **Vector Search**: Single-vector and multi-vector similarity search with re-ranking - **Index Management**: Create and manage vector indexes (HNSW, IVF, FLAT) for fast retrieval - **AI Embedding**: OpenAI-powered dense embedding with automatic text-to-vector conversion ## Features - 🚀 **17 Comprehensive Tools**: Full API coverage for common vector database operations - 🤖 **AI-Powered Embedding**: Built-in OpenAI embedding for semantic search - 📊 **Multiple Response Formats**: Support both JSON and Markdown output formats - 🔍 **Multi-Vector Search**: Combine multiple embeddings with advanced re-ranking - 🎯 **Hybrid Search**: Combine vector similarity with scalar filters - 🛡️ **Type Safety**: Full Pydantic v2 validation for all inputs - 📝 **Rich Documentation**: Detailed tool descriptions with examples ## Installation ### Requirements - Python 3.10 - 3.14 - Supported platforms: Linux (x86_64, ARM64), macOS (ARM64) ### Install from PyPI ```bash # Using uv (recommended) uv pip install zvec-mcp-server # Or using pip pip install zvec-mcp-server ``` ### Install from Source ```bash # Clone the repository git clone https://github.com/zvec-ai/zvec-mcp-server.git cd zvec-mcp-server # Using uv (recommended) uv venv && source .venv/bin/activate uv pip install -e ".[dev]" # Or using pip python -m venv .venv && source .venv/bin/activate pip install -e ".[dev]" ``` ## Quick Start ### Running the Server ```bash # Using the installed package python -m zvec_mcp # Or with uv uv r…
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