Borrowing it
Nothing to install: this file belongs to asgard-ai-platform/mcp-mayo. 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/asgard-ai-platform/mcp-mayo/main/CLAUDE.mdgit clone --depth 1 https://github.com/asgard-ai-platform/mcp-mayoWrote 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/instructions/asgard-ai-platform/mcp-mayo/claude-md)<a href="https://agentmods.dev/instructions/asgard-ai-platform/mcp-mayo/claude-md"><img src="https://agentmods.dev/badge/instructions/asgard-ai-platform/mcp-mayo/claude-md/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/instructions/asgard-ai-platform/mcp-mayo/claude-md"><img src="https://agentmods.dev/badge/instructions/asgard-ai-platform/mcp-mayo/claude-md.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 | $0.00685 | $0.00685 |
| Opus 5 | $0.00342 | $0.00342 |
| Sonnet 5 | $0.00137 | $0.00137 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
mcp-mayo CLAUDE.md scanned grade A with 0 findings 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 9d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
mcp-mayo
Overview
MCP Server that wraps the MAYO Apollo HRM platform (Foundation, Attendance, Payroll) as AI-callable tools over stdio JSON-RPC 2.0. Part of the Asgard open-source ecosystem.
Setup
uv sync
cp .env.example .env # then set MAYO_API_KEY
Run
uv run --env-file .env python mcp_server.py
Test
uv run --env-file .env python scripts/auth/test_connection.py # probes FD / PT / PY
uv run --env-file .env python tests/test_all_tools.py # every registered tool
Architecture
stdio (JSON-RPC 2.0)
→ mcp_server.py entry point; imports tool modules
→ app.py FastMCP("mcp-mayo") singleton
→ tools/
foundation_tools.py 15 FD wrappers (pre-linkup-be)
attendance_tools.py 8 PT wrappers (pre-pt-be)
payroll_tools.py 5 PY wrappers (pre-py-be)
semantic_tools.py 5 higher-level compositions
→ connectors/rest_client.py retry + MayoAPIError
→ auth/api_key.py hrmlicense header from MAYO_API_KEY
→ config/settings.py BASE_URLS + ENDPOINTS (keyed by domain)
Key patterns
- Single auth credential —
MAYO_API_KEYis sent on thehrmlicenseheader for all three domains - Endpoint keys carry their domain —
ENDPOINTS[key] = (domain, path)soget_urlresolves to the right base URL without tool code needing to know - Date conversion in the tool layer — callers pass ISO,
tools/_util.pyconverts to MAYO's format before the connector fires - Two-layer tool surface — thin raw wrappers for completeness + semantic composites for AI ergonomics
- Known-broken upstream endpoints stay exposed — wrappers are marked
KNOWN ISSUE:in docstrings so they work as soon as MAYO fixes the server
Adding a new tool
- Register the endpoint in
config/settings.pyunderENDPOINTSwith its domain - Add the tool function to the matching
tools/*_tools.py, decorated with@mcp.tool()and typed via PydanticField() - Use
_val()fromtools/_util.pyfor every optional parameter to avoid the FieldInfo pitfall - Route through
api_get/api_postfromconnectors/rest_client.py— never callrequestsdirectly - If you created a brand new tool module, add its import to
mcp_server.py - Add an E2E case to
tests/test_all_tools.py
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.
- 9d ago First seen · 67 lines · 685 tokens per session scan A 5c95dfbef69a
mcp-mayo CLAUDE.md is an instructions file published in the GitHub repository asgard-ai-platform/mcp-mayo (0 stars, last pushed 24d ago), licensed MIT. It adds 685 tokens to every session, about $0.0034 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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