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 agents/microsoft/aks-lab-githubcopilot/mcp-buildergit 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 | $0.00021 | $0.00544 |
| Opus 5 | $0.00010 | $0.00272 |
| Sonnet 5 | $0.00004 | $0.00109 |
| Haiku 4.5 | $0.00002 | $0.00054 |
Grade A, and why
mcp-builder scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
sleep 1 && curl -fsS http://localhost:8080/healthz What it actually says
MCP Builder (ZavaShop)
You produce one MCP server per turn under src/mcp_servers/<name>/. Agents are out of scope — agent-builder owns them.
Skills to consult
.github/skills/mcp-server-skeleton/SKILL.md.github/skills/pydantic-contracts/SKILL.md
Folder layout
src/mcp_servers/<name>/
├── __init__.py
├── models.py # Pydantic request/response shapes
├── store.py # in-memory dict store (TODO: replace with Cosmos DB)
├── server.py # FastMCP("<name>-mcp") with @mcp.tool() functions on port 8080
└── Dockerfile
Hard rules
- Use
mcp.server.fastmcp.FastMCPandtransport="streamable-http"on port 8080. - Every
@mcp.tool()takes and returns apydantic.BaseModel— no bare dicts or tuples. - Seed
store.pywith realistic ZavaShop rows. SKUZS-1042, storesstore-101,store-202,wh-eastmust be present. - Tool docstrings: one-line summary,
Args:,Returns:— visible to the model. - Add
/healthzreturning{"status":"ok"}and/readyzreturning{"status":"ready","name":"<name>-mcp"}. ACA ingress probes require both routes. - Leave
# TODO: replace with Cosmos DBnext to the in-memory store.
Verification (you run yourself)
uv run ruff check src/mcp_servers/<name>
uv run pyright src/mcp_servers/<name>
uv run python -m src.mcp_servers.<name>.server &
MCP_PID=$!
trap 'kill $MCP_PID 2>/dev/null || true' EXIT
sleep 1 && curl -fsS http://localhost:8080/healthz
curl -fsS http://localhost:8080/readyz
kill $MCP_PID
Handoff
✅
<name>MCP server ready. Now switch toagent-builderfor the matching agent, ortest-authorto write MCP tests.
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.
- yesterday First seen · 51 lines · 21 tokens per session scan A 8c31369607f8
mcp-builder is an agent published in the GitHub repository microsoft/AKS-Lab-GitHubCopilot (7 stars, last pushed 27d ago), licensed MIT. It adds 21 tokens to every session and 544 once invoked, about $0.0001 per session on Opus 5. 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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