U.S. Bureau of Transportation Statistics (BTS) — data.bts.gov open-data portal (Socrata platform).
SaferSkills independently audited Mcp Bts (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
U.S. Bureau of Transportation Statistics (BTS) — data.bts.gov open-data portal (Socrata platform).
Part of Pipeworx — an MCP gateway connecting AI agents to 1856+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.
| Tool | Description |
|---|---|
search_datasets | Search datasets published on the U.S. Bureau of Transportation Statistics open-data portal (data.bts.gov). Returns each dataset's Socrata 4x4 id (e.g. "crem-w557"), name, and description. Use the id with dataset_columns and query_dataset. BTS covers aviation (passenger counts, on-time performance, air fares, airline financials), freight movement, transit ridership, border crossings, and transportation safety. Example queries: "aviation", "border crossing", "transit", "freight". |
dataset_columns | List the columns of a data.bts.gov dataset: field name (used in SoQL $select/$where), human label, and data type (number, text, calendar_date, etc.). Call this before query_dataset so you know which fields exist. datasetId is the Socrata 4x4 code from search_datasets. |
query_dataset | Query rows from a data.bts.gov dataset using SoQL. datasetId is the Socrata 4x4 code from search_datasets. SoQL clauses: $select (columns / aggregates like "count(*)" or "avg(air_fare)"), $where (SQL-like filter, e.g. "date > '2024-01-01' AND state='TX'"), $order ("date desc"), $group, $q (full-text across the row). Use dataset_columns first to learn field names. Returns an array of row objects keyed by field name. Default $limit is 50 (Socrata max per page is 50000). |
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"bts": {
"url": "https://gateway.pipeworx.io/bts/mcp"
}
}
}tools/list at https://gateway.pipeworx.io/bts/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 1856+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.
curl -X POST https://gateway.pipeworx.io/v1/tools/bts_search_datasets \
-H 'Content-Type: application/json' \
-d '{"q":"aviation"}'No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/bts_search_datasets. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
@pipeworx/mcp-bts is a local stdio bridge to the Pipeworx gateway: your MCP client starts it with npx, and it forwards every call to the same https://gateway.pipeworx.io/bts/mcp endpoint shown above. It needs network access; there is no offline mode.
{
"mcpServers": {
"bts": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-bts"]
}
}
}Without a key it calls anonymously, capped at 50 calls a day. A free account raises that to 200 a day: get a key at https://pipeworx.io/signup and add "env": { "PIPEWORX_API_KEY": "<your key>" } to the server entry. The key is sent as a Bearer token, the same way a hosted connection sends it, so calls are metered and billed exactly as they are there.
It lists only this pack's tools by default. Set PIPEWORX_META_TOOLS=1 to also list ask_pipeworx and the other gateway-wide tools.
Behind an HTTPS proxy: Node's built-in fetch does not read HTTPS_PROXY by default. Newer Node releases honour it when NODE_USE_ENV_PROXY=1 is set; check your Node version's documentation.
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 Bts data" })The gateway picks the right tool and fills the arguments automatically.
MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.