MCP Server for WMilvus Vector Database Architecting & Code Generation
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# wmilvus-mcp <p align="center"> <a href="https://pypi.org/project/wmilvus-mcp/"> <img src="https://img.shields.io/pypi/v/wmilvus-mcp.svg" alt="PyPI version"> </a> <a href="https://pypi.org/project/wmilvus-mcp/"> <img src="https://img.shields.io/pypi/pyversions/wmilvus-mcp.svg" alt="Python versions"> </a> <a href="https://github.com/wisrovi/wmilvus-mcp/blob/main/LICENSE"> <img src="https://img.shields.io/pypi/l/wmilvus-mcp.svg" alt="License"> </a> </p> **wmilvus-mcp** is the Model Context Protocol (MCP) server for architecting, validating, scaffolding, and generating code for **WMilvus** vector database applications. ## Technical Stack | Component | Technology | |-----------|------------| | Language | Python 3.10+ | | Protocol Core | Model Context Protocol (MCP) | | Server Framework | FastMCP (mcp.server.fastmcp) | | Validation Engine | AST & Pydantic 2.x | | Testing Framework | pytest, pytest-cov | | Code Formatting | ruff | ## Features & Exposed MCP Tools 1. `validate_model_schema` — Validate Pydantic models for WMilvus compatibility. 2. `search_wmilvus_pattern` — Search production-ready WMilvus design patterns. 3. `deploy_wmilvus_scaffolding` — Deploy a complete WMilvus vector application structure. 4. `get_wmilvus_architect_blueprints` — Runnable code reference for CRUD, vector search, range search, batch ingestion, async client, and ghost audit log. 5. `get_wmilvus_architect_manual` — Comprehensive architectural manual for Milvus memory and vector indexing. 6. `generate_wmilvus_crud` — Generate ready-to-run CRUD code for WMilvus models. 7. `generate_mcp_client_config` — Generate JSON configuration snippet for Anthropic Claude, Antigravity, or Cursor. ## Quick Start Run the server via stdio: ```bash pip install -e . wmilvus-mcp --start ``` ## Running Tests Execute tests inside an isolated Docker container: ```bash ./run_tests_docker.sh ``` Calculate code coverage: ```bash ./run_coverage.sh ```
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