Connect Your AI

Use this site's data from Claude — or any assistant that supports the Model Context Protocol — with one URL. No account, no key.

https://ploveranalytics.com/mcp
Datasets
82
in 19 sections, from US prices since 1913 to this week's filings
Markets
3
Japan 60 · United States 16 · Hong Kong 6
Lookups
12
read-only, the same numbers this site publishes
Access
Open
no account or key · about 120 lookups a minute

How It Works

1 · You ask
A question in plain English

In Claude, Cursor, VS Code, Codex or any assistant that takes an MCP connector.

2 · It looks up
Your assistant picks a lookup

One of twelve read-only lookups, such as the headline reading for national CPI.

3 · Plover answers
Published figures, with their source

From the accepted release, with publisher, formula and the period the data runs to.

4 · You check
An answer with a citation link

The link opens the page on this site that shows the same numbers.

Set up in your client

Cursor and VS Code add the server in one click. Claude Code and Codex take one command, which the button copies. Claude on the web or the desktop takes one paste.

Claude web and desktop Settings → Connectors → Add custom connector, then paste the URL above. Open Settings
Claude Code Run the command once in a terminal; every session after that has the tools.
Cursor Opens Cursor and adds the server. Confirm the prompt. Add to Cursor
VS Code Opens VS Code and adds the server. Confirm the prompt. Add to VS Code
Codex Run the command once in a terminal.

The commands in full

claude mcp add --transport http plover-analytics https://ploveranalytics.com/mcp
codex mcp add plover-analytics --url https://ploveranalytics.com/mcp

Run either once. claude mcp list and codex mcp list should then show the server as connected.

Other clients

Any client that supports remote MCP servers over Streamable HTTP can use the same URL. The server is stateless and requires no authentication.

Once connected, the full manual covers every lookup, how to read the trust labels in what comes back, and what to do when something looks wrong.

Example Lookup live from this server

What your assistant sends and gets back when you ask a plain question. The figures below were fetched from the server when you opened this page.

You ask
What is Japan's inflation rate right now?
It looks up
Headline reading for national CPI · get_overview {"dataset": "cpi-jp"}
It gets back
Fetching the latest reading…
Then the history
Get series history for the same three measures · get_series {"dataset": "cpi-jp", "series": "0001,0161,0178", "measure": "yoy", "start": "2021-01"}

The assistant writes its answer from that result, and quotes the citation link so you can check the figure on the page it came from.

Coverage 82 datasets

The assistant sees every dataset through the same twelve lookups, so you never have to name one yourself. The Manual lists each dataset, and the datasets directory is the authoritative list.

Bars run from the first period held to the latest. Company filings accumulate filing by filing and have no single start year.

Example Questions

  • What is Japan's headline and core inflation right now, and which groups are driving it?
  • How broad is inflation across individual items — what share is rising more than 2%?
  • How much JGB did the Bank of Japan buy last month, net of redemptions?
  • Where is the 10-year JGB yield against a year ago?
  • Which visitor markets grew fastest last month, and how full were Kyoto's hotels?
  • Who holds Mitsubishi UFJ as a policy shareholding, and what reason do the filers state?
  • Which listed companies have the oldest boards? Which directors got the lowest approval at the AGM?
  • Show me Toyota's financial statements as filed, then its ROE against its Core30 peers.
  • Which companies have the largest unspent buyback authorisations?
  • What did last month's CPI look like as of the day before the latest release?
  • Which Apple insiders sold shares in the last year, and how much?
  • How has the 10-year Treasury moved against the 10-year JGB this year?
  • What is Hong Kong's inflation rate, and how does it compare with Japan's?

Lookups 12, read-only

Each lookup is a thin wrapper over this site's public API, so the assistant can only see numbers the site already publishes, from the same accepted release. Your assistant picks the lookup; you never call one by name.

List datasetslist_datasets
Every dataset: what it is, its shape, and which lookups apply.
Describe a datasetdescribe_dataset
Its source, every measure with its trust label and formula, and what this server holds.
Searchsearch
A company by name, securities code or ticker, or a series by name or code, across all datasets.
Get a companyget_company
One dataset's full view, or a profile across every dataset that knows the company.
Headline readingget_overview
Where a dataset stands now: the figures its own page leads with.
Get series historyget_series
Published values or calculated rates, as of any date.
A dataset's own cutget_breakdown
Contributions to inflation, breadth of price rises, the whole yield curve, one product's trade with every partner.
Ranked screenscreen
The dataset's own screens: oldest boards, largest unspent buybacks, cheapest land, lowest director approval, highest ROE.
List peer groupslist_cohorts
The TOPIX scale bands, JPX market segments and the industry classifications a company can be compared within.
Compare within a peer groupcompare_cohort
One metric across one peer group, ranked, with the group's own median and quartiles.
Releases and revisionsget_vintages
Every release of a dataset, and how one figure was revised from release to release.
Check a published figurecheck_claim
A cross-shareholding number from the press, checked against what the filings support.

The dataset cards are also readable as MCP resources. The older per-dataset tools are no longer listed, but a connector set up with them still gets answers. The Manual documents each lookup in detail.

Trust and Limits

  • Published values are official statistics or filed figures exactly as the source released them; year-over-year and other rates, ratios and aggregates are calculated by this platform, and every lookup result carries that label plus the formula used.
  • Most lookups accept an as of date and answer as the data stood then, from the stored vintage history — so a revised number can be compared with the one that was on the screen at the time.
  • Every result includes a permanent citation URL — the page on this site showing the same view — so any figure the assistant quotes can be checked at the source.
  • Missing values are returned as missing, never as zero. Filing-derived datasets return their own coverage with every aggregate: they accumulate filing by filing and are not the whole market.
  • The assistant's prose is the product of the AI client you connect, not of this site. Check its statements against the cited pages before quoting them; the Methodology page explains every label and formula.
  • The endpoint is rate-limited to about 120 lookups a minute per connection. For bulk or programmatic access, use the public API directly.