The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Ofgem listing page.
Ofgem energy data — the UK energy regulator's published statistics on the domestic price cap and what it is made of, wholesale gas and electricity prices, supplier market shares, switching, debt and customer service, returned as tabular rows rather than pictures.
Part of Pipeworx — an MCP gateway connecting AI agents to 1683+ live data sources.
ofgem_datasets(query?, page?) — the Data Portal catalogue (~190 datasets).
Returns dataset_id, the id every other tool here takes.ofgem_price_cap(payment_method?, periods?) — the default tariff cap by
period, broken into wholesale / network / policy / operating / debt / EBIT /
VAT components, for Direct Debit, prepayment or standard credit.ofgem_dataset_rows(dataset_id, limit?, latest_first?) — the full source
table behind any Data Portal dataset.Keyless.
Things worth knowing:
data.ofgem.gov.uk
does not resolve at all (no A record; it has MX records only). /jsonapi,
/api/v1/datasets and /api/search are 404s. The Data Portal page renders
nothing server-side — a plain fetch of
/news-and-insight/data/data-portal/all-available-charts contains zero
dataset links, so scraping the HTML returns an empty list, not an error./api/listing/{paragraph_id}, the endpoint the portal's
own front end calls (found in
themes/custom/numiko/dist/filter-listing-legacy-*.js). 2156 is the chart
listing's paragraph id. It takes fulltext= and page= (0-based, 24 per page)
and reports the match count in meta.count.data-js-chart-modal-data attribute on the row's teaser markup, not as a
JSON field. It has to be unescaped and parsed out.options.data.csv. That CSV is the data; this pack parses it.(2) suffix so one
column never silently swallows its neighbour.ofgem_price_cap resolves its dataset from the live catalogue first and only
falls back to the known everviz ids, so an upstream rename degrades to a stale
id rather than to no answer.Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
tools/list at https://gateway.pipeworx.io/ofgem/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:
Both URLs reach the same gateway and the same 1683+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/ofgem_datasets. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
Or run it directly to confirm it starts:
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.
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:
The gateway picks the right tool and fills the arguments automatically.
MIT