# milvus-sdk-code-helper

> Use this tool when you need to generate, convert, or translate Milvus SDK code across multiple programming languages, such as Python, Java, and Go. It solves problems like code duplication and language barriers by providing relevant documentation and snippets for PyMilvus code generation and ORM-to-client conversion. With inputs like language specifications and code snippets, it outputs translated and generated code, streamlining development workflows.

Canonical page: https://skillsregistry.net/skills/shawnzheng011019-milvus-sdk-code-helper  
JSON: https://api.skillsregistry.net/v1/skills/shawnzheng011019-milvus-sdk-code-helper

## Description

An MCP server designed to assist with generating, converting, and translating Milvus SDK code by retrieving relevant documentation and snippets. It supports PyMilvus code generation, ORM-to-client conversion, and cross-language translation between Python, Java, Go, and other supported languages.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-06-17

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ojbwb8vx04)
- **Repository:** <https://github.com/Shawnzheng011019/milvus-sdk-code-helper>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shawnzheng011019-milvus-sdk-code-helper"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shawnzheng011019-milvus-sdk-code-helper` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shawnzheng011019-milvus-sdk-code-helper/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
