Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/microsoft/aks-lab-githubcopilot/mcp-server-skeletonnpx skills add microsoft/AKS-Lab-GitHubCopilot --skill mcp-server-skeletongit clone --depth 1 https://github.com/microsoft/AKS-Lab-GitHubCopilotWhat 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 | $0.00000 | $0.00554 |
| Opus 5 | $0.00000 | $0.00277 |
| Sonnet 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 2d 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.
- 2d 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 (7 stars, last pushed 27d 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.
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