Enables architecting, validating, scaffolding, and generating code for WMilvus vector database applications, including schema validation, design pattern search, CRUD generation, and vector search code references.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@wmilvus-mcp generate CRUD code for my Milvus product embeddings"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
wmilvus-mcp is the Model Context Protocol (MCP) server for architecting, validating, scaffolding, and generating code for WMilvus vector database applications.
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 |
Related MCP server: mcp-server-milvus
validate_model_schema — Validate Pydantic models for WMilvus compatibility.
search_wmilvus_pattern — Search production-ready WMilvus design patterns.
deploy_wmilvus_scaffolding — Deploy a complete WMilvus vector application structure.
get_wmilvus_architect_blueprints — Runnable code reference for CRUD, vector search, range search, batch ingestion, async client, and ghost audit log.
get_wmilvus_architect_manual — Comprehensive architectural manual for Milvus memory and vector indexing.
generate_wmilvus_crud — Generate ready-to-run CRUD code for WMilvus models.
generate_mcp_client_config — Generate JSON configuration snippet for Anthropic Claude, Antigravity, or Cursor.
Run the server via stdio:
pip install -e .
wmilvus-mcp --startExecute tests inside an isolated Docker container:
./run_tests_docker.shCalculate code coverage:
./run_coverage.shDeploys a professional WMilvus vector application project structure.
Inputs: target_dir (required), project_name, scaffold_type. Returns: result
Generate MCP Client JSON configuration snippet for Anthropic Claude, Antigravity, or Cursor.
Inputs: command, server_name. Returns: result
Generate ready-to-run WMilvus CRUD code snippet.
Inputs: fields, model_name, vector_dim. Returns: result
Complete reference with runnable code examples for every WMilvus feature.
Inputs: no named parameters. Returns: result
Architectural manual explaining vector indexing, Milvus memory management, and forensic audit logs.
Inputs: no named parameters. Returns: result
Search for production-ready WMilvus architectural patterns in the catalog.
Inputs: query (required). Returns: result
Validate a Pydantic model definition for WMilvus vector storage compatibility.
Inputs: model_code (required). Returns: result
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Scored across 7 tools
Most tools have clearly distinct purposes, but the reference-oriented tools (get_wmilvus_architect_blueprints, get_wmilvus_architect_manual, search_wmilvus_pattern) have some conceptual overlap. Descriptions help distinguish code examples, conceptual manual, and searchable patterns, so an agent can mostly select correctly.
All tool names use consistent snake_case and follow a verb_noun pattern (validate_, search_, deploy_, get_, generate_). The inclusion of 'wmilvus' varies slightly but does not break predictability.
Seven tools is well-scoped for a specialized WMilvus development-assistant server. Each tool appears to earn its place without excessive redundancy or missing obvious operations.
The surface covers validation, search, scaffolding, reference documentation, code generation, and MCP client configuration for WMilvus development. Minor gaps may exist, such as runtime vector operations, but the stated development-assistant purpose is largely covered.
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