Borrowing it
Nothing to install: this file belongs to cyanheads/ourairports-mcp-server. 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/cyanheads/ourairports-mcp-server/main/AGENTS.mdgit clone --depth 1 https://github.com/cyanheads/ourairports-mcp-serverWrote 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/cyanheads/ourairports-mcp-server/agents-md)<a href="https://agentmods.dev/instructions/cyanheads/ourairports-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/cyanheads/ourairports-mcp-server/agents-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/cyanheads/ourairports-mcp-server/agents-md"><img src="https://agentmods.dev/badge/instructions/cyanheads/ourairports-mcp-server/agents-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 | $0.06650 | $0.06650 |
| Opus 5 | $0.03325 | $0.03325 |
| Sonnet 5 | $0.01330 | $0.01330 |
| Haiku 4.5 | $0.00665 | $0.00665 |
Grade A, and why
ourairports-mcp-server AGENTS.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 10d 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.
This is a copy
80% identical to obsidian-mcp-server AGENTS.md — 342 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Developer Protocol
Server: ourairports-mcp-server
Version: 0.2.2
Framework: @cyanheads/mcp-ts-core ^0.12.3
Engines: Bun ≥1.3.0, Node ≥24.0.0
MCP SDK: @modelcontextprotocol/server ^2.0.0
Zod: ^4.4.3
Read the framework docs first:
node_modules/@cyanheads/mcp-ts-core/CLAUDE.mdcontains the full API reference — builders, Context, error codes, exports, patterns. This file covers server-specific conventions only.
What This Server Does
Static, offline aviation reference data from the public-domain OurAirports dataset — airports, runways, navaids, radio frequencies. The six source CSVs are bundled into the package (and baked into the Docker image at build time via scripts/build-data.ts); the airport-data service parses them into in-memory indices once at setup(), and every tool is a local query. Zero runtime API: no key, no rate limit, no upstream to retry. The surface is six read-only tools plus the airport://{code} resource; no prompts. The architecture rationale (why in-memory indices over MirrorService/DataCanvas, the five-space code resolution, the haversine geo scan) lives in docs/design.md — read it before changing the service or adding a tool.
What's Next?
When the user asks what's next or needs direction, suggest options based on the current project state. Common next steps:
- Re-run the
setupskill — ensures CLAUDE.md, skills, structure, and metadata are populated and up to date with the current codebase - Run the
design-mcp-serverskill — if the tool/resource surface hasn't been mapped yet, work through domain design - Add tools/resources/prompts — scaffold new definitions using the
add-tool,add-app-tool,add-resource,add-promptskills - Add services — scaffold domain service integrations using the
add-serviceskill - Add tests — scaffold tests for existing definitions using the
add-testskill - Field-test definitions — exercise tools/resources/prompts with real inputs using the
field-testskill, get a report of issues and pain points - Run
devcheck— lint, format, typecheck, and security audit - Run the
security-passskill — audit handlers for MCP-specific security gaps: output injection, scope blast radius, input sinks, tenant isolation - Run the
polish-docs-metaskill — finalize README, CHANGELOG, metadata, and agent protocol for shipping - Run the
maintenanceskill — investigate changelogs, adopt upstream changes, and sync skills afterbun update --latest
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.
- 10d ago First seen · 428 lines · 6,650 tokens per session scan A 962f5df3d4b4
ourairports-mcp-server AGENTS.md is an instructions file published in the GitHub repository cyanheads/ourairports-mcp-server (1 stars, last pushed 16d ago), licensed Apache-2.0. It adds 6,650 tokens to every session, about $0.0333 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to obsidian-mcp-server AGENTS.md, differing in 342 lines, and is treated as a copy.
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