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@pipeworx/mcp-asrs-reports

by pipeworx-io

@pipeworx/asrs-reports

De-identified aviation safety incident narratives from NASA's Aviation Safety Reporting System (ASRS) — search by keyword, date, aircraft or flight phase, or fetch one report's full narrative by its ACN.

Part of Pipeworx — an MCP gateway connecting AI agents to 1800+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

  • asrs_search(query?, date_from?, date_to?, aircraft?, phase?, limit?) — keyword search across narrative, synopsis, topic and coded anomaly, with optional date-range, aircraft and flight-phase filters. Returns each report's ACN, date, airport/state, aircraft, flight phase, synopsis and a narrative excerpt.

  • asrs_report(acn) — one report's full narrative and every coded field (date, airport, state, aircraft, flight phase, coded anomaly, contributing factors) plus the official synopsis.

  • asrs_topics() — the thirty safety topics this pack covers, each with its report count and NASA's own last-updated date for that topic.

Related MCP server: NASA MCP Server

Auth

Keyless.

Data sources

  • NASA Aviation Safety Reporting System (ASRS), Database Report Sets — NASA Ames Research Center's voluntary, confidential aviation-safety reporting program (contracted to Booz Allen Hamilton), publishing curated samples of de-identified incident reports on thirty standing safety topics (runway incursions, controlled flight toward terrain, bird/animal strikes, flight crew fatigue, icing, near midair collisions, and more). Each topic's report set is updated by NASA on its own schedule and the pack carries NASA's own per-topic update date. NASA's full keyword/date database search ("Database Online") has no callable API — it is a session-based, multi-step wizard — so this pack answers from NASA's own periodic Report Set publications rather than querying that wizard per request.

Built from NASA's own PDFs, not a live query. NASA publishes each Report Set as a PDF of up to 50 pre-screened reports. This pack parses the thirty current PDFs into structured records (1,412 unique reports after de-duplicating reports filed under more than one topic — also_filed_under on asrs_report names the others). data_as_of on every response is the most recent of NASA's thirty per-topic update dates as of the last refresh.

Coverage, not completeness. This pack covers only NASA's thirty standing Report Set topics, not ASRS's full report archive (NASA's own search tool covers far more but has no API). asrs_topics lists exactly what is covered and how current each topic is — check it before concluding a topic has zero reports.

Caveats NASA states on every Report Set, carried on every response: reports are voluntarily submitted and not corroborated by NASA, the FAA or the NTSB, so the number of reports on a topic cannot be used to infer how common that problem actually is.

Store, not a bundled import. The 1,412 reports (full narrative text included) live in a D1 database the gateway hands this pack as _d1 ("d1Binding": "ASRS_DB" in pack-manifest.json; schema + queries in src/store.ts) — never a bundled import ... from './data.json'. An earlier version of this pack baked the same reports as a 3.6 MB src/data.json import, which pushed the gateway Worker over its bundle ceiling and blocked every lane's deploy for about an hour. No FTS5 — the dataset is small enough that plain LIKE-based filtering costs nothing, which also sidesteps D1's FTS5 chunked-import trap (an FTS5 index can arrive empty with no error at all).

Refresh: node scripts/asrs-reports/load-data.mjs re-downloads and re-parses NASA's thirty current Report Set PDFs (scripts/asrs-reports/fetch-asrs-pdfs.py, needs pip install pypdf once — build-time only, never bundled into the pack) and reloads the D1 store. NASA updates each topic on an irregular schedule (observed anywhere from ~1 to ~5 months between updates per topic); re-run the loader periodically. Needs wrangler authenticated to the Pipeworx Cloudflare account — this writes to production D1, so only run it with that access.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "asrs-reports": {
      "url": "https://gateway.pipeworx.io/asrs-reports/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/asrs-reports/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1800+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/asrs_search \
  -H 'Content-Type: application/json' \
  -d '{"query":"runway incursion","limit":5}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/asrs_search. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "asrs-reports": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-asrs-reports"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-asrs-reports

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Asrs Reports data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

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