@pipeworx/mcp-asrs-reports
Provides tools for searching and retrieving de-identified aviation safety incident reports from NASA's Aviation Safety Reporting System (ASRS). Supports keyword search with date, aircraft, and flight-phase filters, fetching full report narratives and coded fields by ACN, and listing covered safety topics with report counts and NASA per-topic update dates.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@@pipeworx/mcp-asrs-reportssearch ASRS reports for runway incursions in 2023"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@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-reportsIt 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
This server cannot be deployed
Maintenance
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