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Public Hosted Server: https://ourairports.caseyjhand.com/mcp


Overview

Offline aviation reference data from the public-domain OurAirports dataset — airports, runways, navaids, and radio frequencies, bundled with the package rather than fetched at runtime. Resolve an airport by any code, search by name or facets, ground a coordinate in the nearest airports or navaids, and look up the countries and regions in the dataset. Runs as a stdio process, a local Streamable HTTP server, or the public hosted endpoint above.

Tools

Tool

Description

ourairports_search_airports

Full-text and faceted search over the airport corpus by name, municipality, country, region, or type. Ranked summaries, closed airports excluded by default.

ourairports_search_runways

Search runways across all airports by surface, length, width, and lighting, joined back to their airports and filtered by country, region, or airport type. One flat { airport, runway } row per matching runway.

ourairports_get_airport

Full record for one airport resolved by any code (IATA/ICAO/GPS/local/ident), with its runways and radio frequencies inline.

ourairports_find_airports

Airports within a radius of a coordinate, ranked nearest-first by great-circle distance, with distance and bearing.

ourairports_find_navaids

Navigation aids (VOR, VOR-DME, DME, NDB, NDB-DME, TACAN, VORTAC) near a coordinate or serving a specific airport.

ourairports_list_countries

Countries present in the dataset with ISO codes and airport counts; optional continent filter and nested regions. The lookup table for valid country/region filter values.

Resources

Resource

Description

airport://{code}

Single airport record by any code (IATA/ICAO/GPS/local/ident), with runways and frequencies inline.

All data is also reachable via ourairports_get_airport — tool-only clients lose nothing. Not exposed as a resource list (enumerating 85k airports is a dump, not a discovery aid); discovery is ourairports_search_airports.

Related MCP server: mcp-metar

Capability reference

ourairports_search_airports tool

  • Free-text search over name, municipality, and keywords; tokens are AND-matched (word order and partial words handled)

  • Faceted filters: country (ISO 3166-1 alpha-2), region (ISO 3166-2), and type — country/region are exact match, case-insensitive, with surrounding whitespace ignored

  • Closed airports excluded by default; opt in with include_closed

  • Results ranked operational/larger-airports-first, each with its full code set and coordinates for chaining into ourairports_get_airport

  • limit accepts 1–100 rows and defaults to OURAIRPORTS_DEFAULT_SEARCH_LIMIT (20); truncation reports the total matched count, cap, and recovery guidance


ourairports_search_runways tool

  • Airport facets (country, region, type) narrow the airports first; runway facets (surface, min_length_ft, min_width_ft, lighted) then filter their runways

  • surface is a case-insensitive substring match against the raw upstream surface string (no controlled vocabulary — a shorter fragment like asp matches ASP, ASPH, and Asphalt), not an exact code

  • Returns one flat { airport, runway } row per matching runway — an airport with three matching runways contributes three rows

  • lengthFt and min_length_ft are the full runway surface as OurAirports records it, including displaced thresholds and overruns — not usable takeoff or landing distance; each runway also carries leDisplacedThresholdFt / heDisplacedThresholdFt (null when none is recorded)

  • A runway whose length or width is unknown is excluded when the matching min_*_ft filter is set — never assumed to meet a threshold the data can't confirm

  • Closed airports and closed runways are both excluded unless include_closed_airports / include_closed_runways is set

  • limit accepts 1–100 rows and defaults to OURAIRPORTS_DEFAULT_SEARCH_LIMIT (20); truncation reports the total matched count, cap, and recovery guidance


ourairports_get_airport tool

  • Resolves a single code case-insensitively across all five identifier spaces (priority: ident → ICAO → IATA → GPS → local); surrounding whitespace is ignored

  • Runways and radio frequencies inline; include trims the response to a subset, and the output's included field distinguishes a relation omitted by include from one that genuinely has no records

  • Echoes the airport's complete code set plus a resolvedVia / resolutionNote; when other airports carry the same code, the note names each one (ident, country, code space) and says whether resolution priority or dataset row order picked this airport, so a wrong resolution is self-correcting — pass the other airport's ident

  • Runways carry full-surface lengthFt plus per-end displaced thresholds (leDisplacedThresholdFt / heDisplacedThresholdFt)

  • Absent codes reported as null; closed airports always resolve

  • unknown_code error with a recovery hint when no identifier space matches


ourairports_find_airports tool

  • Great-circle (haversine) ranking, nearest-first, each result with distanceKm and bearingDeg (degrees true) from the query point

  • radius_km (1–500, default 100); limit (1–50) defaults to OURAIRPORTS_DEFAULT_SEARCH_LIMIT, clamped to this tool's 50-row max; optional type filter; include_closed opt-in

  • Coordinate in, ranked airports out — no geocoding; resolve place names to lat/lon upstream first

  • totalCount is the filtered in-radius count before limit; truncation reports the cap and recovery guidance (narrow radius_km, add type, or raise limit)

  • Empty-radius guidance suggesting a wider radius_km


ourairports_find_navaids tool

  • Coordinate mode: latitude + longitude (+ optional radius_km, 1–500, default 100) ranks navaids nearest-first with distance and bearing; limit (1–50) defaults to OURAIRPORTS_DEFAULT_SEARCH_LIMIT, clamped to 50

  • Airport mode: airport_code returns the navaids serving that airport

  • Exactly one mode required — supplying both or neither is a mode_conflict validation error

  • frequencyKhz is the stored value for every type (a VOR on 114.5 MHz reads 114500); frequencyMhz carries the VHF frequency of a VOR or VOR-DME and the paired VHF frequency of a DME, TACAN, or VORTAC, and is null for NDB and NDB-DME, which tune in kHz; an upstream -1 placeholder reads as null

  • Each navaid carries its service-volume metadata as recorded upstream: usageType (HI, LO, BOTH, TERMINAL, RNAV), power, magneticVariationDeg (actual, positive east), slavedVariationDeg (the variation built into the radials), and dmeFrequencyKhz (the DME's paired VHF frequency) — null where the dataset has no value

  • totalCount is the match count before limit in both modes; truncation reports the cap and recovery guidance

  • Airport mode distinguishes "airport not found" (unknown_code error) from "airport found but has no associated navaids" (empty list with a note)

  • Airport mode adds a resolutionNote when airport_code is also a code of other airports, naming them by ident — the same note ourairports_get_airport returns


ourairports_list_countries tool

  • Optional continent filter (AF, AN, AS, EU, NA, OC, SA); optional include_regions nests each country's ISO 3166-2 regions with their airport counts

  • Airport counts exclude closed airports

  • Countries sorted by name; the lookup table for valid country / region filter values used by ourairports_search_airports

  • Empty continent match returns a notice suggesting a call without the filter


airport://{code} resource

  • Same record as ourairports_get_airport, including the same resolutionNote — runways and radio frequencies always inline, so there is no include / included

  • code resolves case-insensitively across all five identifier spaces (priority: ident → ICAO → IATA → GPS → local)

  • unknown_code error with a recovery hint when no identifier space matches

Features

Built on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.

OurAirports-specific:

  • Bundled, public-domain dataset baked into the package and Docker image — zero runtime API, no key, no rate limit, no upstream outage

  • In-memory indices built once at startup: id maps, a priority-ordered unified code index, airport-ref joins for runways and frequencies, an ident-keyed navaid join, a flat Float64Array of coordinates, country/region maps, and a tokenized text-search index

  • Brute-force haversine nearest-neighbour over the coordinate array — a few milliseconds across 85k airports, no spatial-index dependency

  • CSVs parsed by header name, not column position, so an upstream column reorder can't silently misalign fields

Agent-friendly output:

  • Honest sparsity — absent upstream fields (no IATA, no elevation, null runway dimensions) surface as null, never fabricated

  • Self-correcting resolution — every airport record echoes its full code set and a resolvedVia / resolutionNote that names every other airport sharing the code, by ident

  • Text output that matches the structured output — coordinates render at full precision, and upstream text is Markdown-escaped in content only, so names like GRASS&GRAVEL display as recorded

  • Truncation and empty-result disclosure — total counts, applied caps, and recovery guidance so callers can broaden, narrow, or re-query without parsing prose

Getting started

Public Hosted Instance

A public instance is available at https://ourairports.caseyjhand.com/mcp — no installation required. Point any MCP client at it via Streamable HTTP, with this client config:

{
  "mcpServers": {
    "ourairports-mcp-server": {
      "type": "streamable-http",
      "url": "https://ourairports.caseyjhand.com/mcp"
    }
  }
}

Self-Hosted / Local

Add the following to your MCP client configuration file.

{
  "mcpServers": {
    "ourairports-mcp-server": {
      "type": "stdio",
      "command": "bunx",
      "args": ["@cyanheads/ourairports-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with npx (no Bun required):

{
  "mcpServers": {
    "ourairports-mcp-server": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "@cyanheads/ourairports-mcp-server@latest"],
      "env": {
        "MCP_TRANSPORT_TYPE": "stdio",
        "MCP_LOG_LEVEL": "info"
      }
    }
  }
}

Or with Docker:

{
  "mcpServers": {
    "ourairports-mcp-server": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "MCP_TRANSPORT_TYPE=stdio",
        "ghcr.io/cyanheads/ourairports-mcp-server:latest"
      ]
    }
  }
}

No API key is required — the dataset ships with the package and the image.

For Streamable HTTP, set the transport and start the server:

MCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 bun run start:http
# Server listens at http://localhost:3010/mcp

Prerequisites

  • Bun v1.4.0 or higher (or Node.js v24+).

  • No API key, account, or external service — all data is bundled.

Installation

  1. Clone the repository:

git clone https://github.com/cyanheads/ourairports-mcp-server.git
  1. Navigate into the directory:

cd ourairports-mcp-server
  1. Install dependencies:

bun install
  1. Fetch and bundle the dataset (writes the six CSVs into data/):

bun run build:data

Refreshing the data

The bundled snapshot is as fresh as the last build:data run (or, for the Docker image, the last build). To pull the latest daily drop from the OurAirports mirror, re-run bun run build:data and rebuild. To point at an existing local data drop without rebuilding, set OURAIRPORTS_DATA_DIR.

Configuration

Variable

Description

Default

OURAIRPORTS_DATA_DIR

Directory holding the six OurAirports CSV files. Overridable to point at a fresher local data drop.

Bundled data/

OURAIRPORTS_DEFAULT_SEARCH_LIMIT

Default result cap for the search/find tools when the caller omits limit (1–100).

20

MCP_TRANSPORT_TYPE

Transport: stdio or http.

stdio

MCP_HTTP_PORT

Port for the HTTP server.

3010

MCP_HTTP_ENDPOINT_PATH

HTTP endpoint path where the server is mounted.

/mcp

MCP_AUTH_MODE

Auth mode: none, jwt, or oauth.

none

MCP_SESSION_MODE

HTTP session mode: stateful, stateless, or auto. This server uses stateless mode because no tool requests follow-up input.

stateless

MCP_LOG_LEVEL

Log level (RFC 5424).

info

LOGS_DIR

Directory for log files (Node.js only).

<project-root>/logs

STORAGE_PROVIDER_TYPE

Storage backend (unused on the data path — the index is in-memory).

in-memory

OTEL_ENABLED

Enable OpenTelemetry instrumentation.

false

See .env.example for the full list of optional overrides.

Running the server

Local development

  • Build and run:

    # One-time data fetch + build
    bun run build:data
    bun run rebuild
    
    # Run the built server
    bun run start:stdio
    # or
    bun run start:http
  • Run checks and tests:

    bun run devcheck   # Lint, format, typecheck, security
    bun run test       # Vitest test suite
    bun run lint:mcp   # Validate MCP definitions against spec

Docker

docker build -t ourairports-mcp-server .
docker run --rm -i -e MCP_TRANSPORT_TYPE=stdio ourairports-mcp-server

The build stage runs bun run build:data so the dataset is fetched and baked into the image — the resulting container is fully self-contained and makes no network calls at runtime. The Dockerfile defaults to HTTP transport, stateless session mode, and logs to /var/log/ourairports-mcp-server. OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them.

Project structure

Directory

Purpose

src/index.ts

createApp() entry point — registers tools/resources and loads the bundled index at setup().

src/config

Server-specific environment variable parsing and validation with Zod.

src/mcp-server/tools

Tool definitions (*.tool.ts). Six read-only airport/runway/navaid tools.

src/mcp-server/resources

Resource definitions. The airport://{code} record.

src/services/airport-data

The bundled-data service — CSV parsing, in-memory indices, code resolution, search, and the haversine geo scan.

scripts/build-data.ts

Build-time fetcher that bundles the six OurAirports CSVs into data/.

framework-skills/

Project development skills synced from @cyanheads/mcp-ts-core.

tests/

Unit and integration tests mirroring src/.

Development guide

See CLAUDE.md/AGENTS.md for development guidelines and architectural rules. The short version:

  • Handlers throw, framework catches — no try/catch in tool logic

  • Use ctx.log for request-scoped logging, ctx.state for tenant-scoped storage

  • Register new tools and resources via the barrels in src/mcp-server/*/definitions/index.ts

  • Surface upstream data as-is: report absent fields as null, never fabricate missing values

Attribution

Airport, runway, navaid, and frequency data from OurAirports, dedicated to the public domain. Attribution is a courtesy, not a requirement. Source CSVs are published daily at davidmegginson.github.io/ourairports-data.

OurAirports is community-edited; the data is surfaced as-is and is not authoritative for real flight operations — treat it the way you would any crowd-sourced reference.

Contributing

Issues are welcome. Run checks and tests before submitting:

bun run devcheck
bun run test

License

Apache-2.0 — see LICENSE for details.

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