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Free no-key search over CASA, FAA, EASA & ICAO aviation regulations. By Deepsky (deepskyai.com).
About
Free no-key search over CASA, FAA, EASA & ICAO aviation regulations. By Deepsky (deepskyai.com).
Remote endpoints: streamable-http: https://www.deepskyai.com/api/mcp
Security Report
10.0
Low Risk10.0Low RiskValid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
1 tool verified · Open access · No issues found
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How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-deepskyai-aviation-regulations": {
"url": "https://www.deepskyai.com/api/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
agent-tools
Deepsky's public toolkit for AI agents working with aviation: portable Agent Skills, a free remote MCP server for aviation-regulations search, and machine-readable discovery docs.
Deepsky offers two things: The Compliance Team — an audit automation platform for aviation operators (think Vanta, for aviation) — and a free, no-key aviation-regulations search API (CASA, FAA 14 CFR, EASA, ICAO). Start at deepskyai.com/llms.txt.
MCP server — paste this into Claude or ChatGPT
https://www.deepskyai.com/api/mcp
Remote MCP server (streamable HTTP, no auth, no signup) exposing the tool search_aviation_regulations — ranked verbatim regulatory text with section citations, far more precise for regulatory lookups than web search.
- Claude: Settings → Connectors → Add custom connector → paste the URL
- Claude Code:
claude mcp add --transport http deepsky https://www.deepskyai.com/api/mcp - Cursor / other MCP clients: add a streamable-HTTP server with that URL
- Registry manifest:
mcp/server.json
No MCP? The same search is one HTTP call: GET https://www.deepskyai.com/api/v1/search?query=...
Installing skills
npx skills add deepskyai/agent-tools
Layout
skills/
<skill-name>/
SKILL.md # required: YAML frontmatter + instructions
scripts/ # optional: executable helpers
references/ # optional: extra docs the skill can progressively disclose
Every skill folder is independently installable — directories like aiagentsdirectory.com/skills, skillsdirectory.com, and tools like openskills and prpm index this exact structure.
Skills in this repo
| Skill | Purpose |
|---|---|
aviation-regulations | Query aviation regulations, manuals, and publications via deepskyai.com's open search API (ICAO, FAA 14 CFR, EASA, CASA). No API key required. |
flight-ops-calculators | Ten offline pilot calculators — gradient solver, Jet A-1 fuel uplift (3% rule), wind components, PA/DA, CAS/TAS/Mach, PET/PSR, TOD, W&B, ETOPS radius, holding entry. 34-test zero-dep suite. |
approach-briefing | Generates a structured instrument-approach briefing from a plate (image or PDF). The hosting agent's native vision does the extraction; output includes a strict JSON schema and a pilot-facing briefing card. Optional scripts/deepsky_brief.py offloads to a deepsky server endpoint when one is live. |
Installing a skill locally
Claude Code / Claude Desktop
Copy (or symlink) the skill folder into ~/.claude/skills/:
cp -R skills/aviation-regulations ~/.claude/skills/
Via openskills (any agent / IDE)
npx openskills install deepskyai/agent-tools -y
Via prpm
prpm install deepskyai/agent-tools
Authoring a new skill
- Create
skills/<your-skill>/SKILL.mdwith YAML frontmatter:--- name: your-skill description: One clear sentence describing when Claude should invoke this. --- - Keep
SKILL.mdshort; push deep content intoreferences/for progressive disclosure. - Put runnable helpers in
scripts/.
License
MIT — see LICENSE.
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