# SYD MCP Server

> Use this tool when you need to query batch status, traceability, and compliance information using natural language. It connects systems via the Model Context Protocol, enabling AI assistants to retrieve relevant data. Ideal for use cases where automated, voice-based querying of system data is required, such as quality control or inventory management.

Canonical page: https://skillsregistry.net/skills/pyzack-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/pyzack-mcp-server

## Description

Enables querying batch status, traceability, and compliance through natural language by connecting SYD to AI assistants via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dvk2tumeeu)
- **Repository:** <https://github.com/pyzack/mcp-server>

## 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": "pyzack-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pyzack-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pyzack-mcp-server/pull`

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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