mcpField
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Deepsky Aviation Regulations

Deepsky Aviation Regulations

Remote
deepskyai.comLegal & Government2Updated 15w ago

About Deepsky Aviation Regulations

Deepsky Aviation Regulations is a free, no-key MCP server for aviation professionals and their AI agents to search CASA, FAA, EASA, and ICAO material. Results provide ranked verbatim regulatory text with section citations.

Key features

  1. 01Search aviation rules without a key
  2. 02Cover CASA, FAA, EASA, and ICAO
  3. 03Return quoted text with section citations
  4. 04Serve requests over remote HTTP

Use cases

  1. 01Find relevant aviation rule text
  2. 02Verify regulatory sections and wording
  3. 03Search regulatory requirements in aviation workflows

MCP support

The remote MCP server exposes `search_aviation_regulations` over streamable HTTP, without authentication or signup. MCP clients can connect at `https://www.deepskyai.com/api/mcp`.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://www.deepskyai.com/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

2
ParameterTypeRequiredDescription
querystringYesNatural-language question or keywords. Include the citation if one is known — e.g. 'CASR 138.370 risk assessment aerial work' or '14 CFR 135.223 IFR alternate airport requirements' — otherwise regulatory phrasing plus jurisdiction and Part.
matchCountintegerNoNumber of ranked matches to return (1-20).

Details

From the project 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

SkillPurpose
aviation-regulationsQuery aviation regulations, manuals, and publications via deepskyai.com's open search API (ICAO, FAA 14 CFR, EASA, CASA). No API key required.
flight-ops-calculatorsTen 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-briefingGenerates 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

  1. Create skills/<your-skill>/SKILL.md with YAML frontmatter:
    ---
    name: your-skill
    description: One clear sentence describing when Claude should invoke this.
    ---
    
  2. Keep SKILL.md short; push deep content into references/ for progressive disclosure.
  3. Put runnable helpers in scripts/.

License

MIT — see LICENSE.

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