ZavaShop on AKS and Azure Container Apps is a hands-on lab for delivering a multi-agent retail supply-chain application from requirements through deployment. It demonstrates a team of six GitHub Copilot custom coding agents working across specifications, application code, MCP servers, tests, infrastructure, and CI. The catalogue entries define the agents, skills, and instructions used in that workflow.
Borrowing it
Nothing to install: this file belongs to microsoft/AKS-Lab-GitHubCopilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/microsoft/AKS-Lab-GitHubCopilot/main/.github/skills/mcp-server-skeleton/SKILL.mdgit clone --depth 1 https://github.com/microsoft/AKS-Lab-GitHubCopilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/microsoft/aks-lab-githubcopilot/mcp-server-skeleton)<a href="https://agentmods.dev/skills/microsoft/aks-lab-githubcopilot/mcp-server-skeleton"><img src="https://agentmods.dev/badge/skills/microsoft/aks-lab-githubcopilot/mcp-server-skeleton/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/microsoft/aks-lab-githubcopilot/mcp-server-skeleton"><img src="https://agentmods.dev/badge/skills/microsoft/aks-lab-githubcopilot/mcp-server-skeleton.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00554 |
| Opus 5.5 | $0.00000 | $0.00222 |
| Sonnet 5.5 | $0.00000 | $0.00111 |
| Haiku 4.5 | $0.00000 | $0.00055 |
Grade A, and why
mcp-server-skeleton scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
sleep 1 && curl -fsS http://localhost:8080/healthz How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: MCP Server Skeleton (FastMCP, streamable-http)
Reference layout
src/mcp_servers/<name>/
├── __init__.py
├── models.py
├── store.py
├── server.py
└── Dockerfile
server.py template
from __future__ import annotations
from mcp.server.fastmcp import FastMCP
import structlog
from starlette.requests import Request
from starlette.responses import JSONResponse
from .models import StockQuery, StockReport
from .store import lookup_stock
log = structlog.get_logger("<name>-mcp")
mcp = FastMCP("<name>-mcp", host="0.0.0.0", port=8080, streamable_http_path="/mcp")
@mcp.custom_route("/healthz", methods=["GET"])
async def healthz(_request: Request) -> JSONResponse:
"""Return process health for container probes."""
return JSONResponse({"status": "ok"})
@mcp.custom_route("/readyz", methods=["GET"])
async def readyz(_request: Request) -> JSONResponse:
"""Return readiness for ACA ingress probes."""
return JSONResponse({"status": "ready", "name": "<name>-mcp"})
@mcp.tool()
async def check_stock(query: StockQuery) -> StockReport:
"""Return on-hand stock and reorder point for each requested location.
Args:
query: SKU and list of location IDs.
Returns:
StockReport with one LocationStock per requested location.
"""
log.info("tool.check_stock", sku=query.sku, locations=query.locations)
return await lookup_stock(query)
if __name__ == "__main__":
mcp.run(transport="streamable-http")
models.py rules
- Every request / response is a Pydantic v2 model with
model_config = ConfigDict(frozen=True). - Field names are snake_case; alias to camelCase only if an external API requires it.
store.py rules
- In-memory
dictkeyed by primary key. Leave the marker:# TODO: replace with Cosmos DB (see specs/storage.md) - Seed with at least: SKU
ZS-1042; locationsstore-101,store-202,wh-east.
Acceptance
uv run python -m src.mcp_servers.<name>.server &
sleep 1 && curl -fsS http://localhost:8080/healthz
curl -fsS http://localhost:8080/readyz
kill %1
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 83 lines · 0 tokens per session scan A 84843e3296e9
mcp-server-skeleton is a skill published in the GitHub repository microsoft/AKS-Lab-GitHubCopilot (10 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 554 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
mcp-server-skeleton compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp-server-skeletonmicrosoft/AKS-Lab-GitHubCopilot | Skill | 10 | 8d ago | MIT | A | 0 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| azure-mgmt-botservice-dotnetmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 78 | Claude Code |
| fastapi-router-pymicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 46 | Claude Code |
| dev-runtimelangwatch/langwatch | Skill | 5.0k | yesterday | Apache-2.0 | A | 172 | Claude Code |
| api-designericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 105 | Claude Code, Codex |
| migrate-segw-to-raparc-mcp/arc-1 | Skill | 252 | yesterday | MIT | A | 106 | Claude Code |