Timefire

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

• Connection: Runs in the cloud
• Transport: Streamable HTTP
• Category: Games, sports, food & learning

Install

Pick the AI app you use, then copy the settings.

You need

• Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

https://api.timefire.ai/mcp/

claude mcp add --transport http record https://api.timefire.ai/mcp/

{
  "mcpServers": {
    "record": {
      "url": "https://api.timefire.ai/mcp/"
    }
  }
}

{
  "servers": {
    "record": {
      "type": "http",
      "url": "https://api.timefire.ai/mcp/"
    }
  }
}

https://api.timefire.ai/mcp/

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 8, 2026. The maker wrote them, not us; we show them as plain text.

• list_resolved_batches

  List graded books, newest first, one summary row each: date, returns, alpha against SPY and RSP, and verdict. A book (or batch) is one trading day's full S&P 500 slate. Use this to find a trading_date, then get_resolved_batch for every forecast in that book or verify_batch for it

• get_resolved_batch

  Get one graded book with every forecast and its outcome. A book (or batch) is one trading day's full S&P 500 slate, served once its long picks are fully graded, so other rows can still have null outcomes. Use list_resolved_batches to find the date, verify_batch for the book's pro

• get_track_record_stats

  Get aggregates computed only from fully resolved books: forecast counts, returns and hit rates, and how many books beat, matched (flat) or trailed SPY, each book's verdict graded on its cap-weighted long picks. The hit rates count the books graded under the published rule, from p

• get_calibration

  Check whether forecasts matched outcomes: mean predicted against mean realized return by decile across every graded book, and hit rates by rank bucket and by side (long or short) across books graded under the published rule. Use this to judge how well the ranking held up, and get

• get_universe_and_scoring_spec

  Get the versioned scoring rules, the metric definitions and the latest graded book's universe of stocks. Use this before interpreting a stat or a verdict, to learn how books are graded and which stocks are covered.

• get_stock_resolved_history

  Get one stock's rows from graded books only, newest first: its forecast, rank, pick side and outcome in each book. Use this to follow one ticker across books, explain_resolved_prediction for the evidence behind one row, and get_resolved_batch for a whole book. An unknown ticker r

• verify_batch

  Get the public proof for one graded book: signed payload, hash, signature, content address and timestamp material, with the steps to check them. The verified field is the server's own check; the evidence lets you repeat it yourself. Use this to check a book's signature and timest

• get_book_portfolio

  Get a resolved book's portfolio: market-cap-weighted vs SPY ("cap", the default, the portfolio the ledger's verdict grades) or equal-weighted vs RSP ("equal"), with each long pick's weight and graded return, the book return, the benchmark return and its evidence, alpha and verdic

• search_docs

  Find the developer guides and site pages that match a few words. Each hit carries the page title, its canonical URL and a short excerpt. Use this for how Timefire works and what its terms mean, not for record data. No match returns an empty list, so try other words.

• get_simulation_nav

  Get the paper portfolio's daily value (NAV), market-cap-weighted vs SPY ("cap", the default) or equal-weighted vs RSP ("equal"), with both benchmarks on every row. There is one row per resolved trading day. The series stops at the newest date by which every book is revealed, beca

• get_simulation_trades

  Get the paper portfolio's closed trades from resolved books, newest first, market-cap-weighted ("cap", the default) or equal-weighted ("equal"): the two trade at the same prices and differ in weight, and so in size and P&L. Open positions never appear. Date bounds apply to the da

• explain_resolved_prediction

  Get the stored evidence behind one stock's forecast in a graded book: its rank, side, market regime, 5- and 20-day lookback returns, news items and notes. Use this to see the context a stock was ranked in, and get_stock_resolved_history to find which books hold it. An ungraded da

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

• ! Caution

  Maker matches the repo

  The registry lists no source repo, so we cannot match the publisher (timefire.ai) to the code

• … Not checked yet

  Still maintained

  We have not read this repo from GitHub yet

• … Not checked yet

  Has a licence

  We have not read this repo from GitHub yet

• ✓ Pass

  Endpoint responds

  Responded in 1299 ms (HTTP 200)

• – Not applicable

  Sign-in with OAuth

  No sign-in needed

• ✓ Pass

  No hidden instructions in tool descriptions

  Read 12 tool descriptions and found no hidden instructions to the AI

Compared with others in Games, sports, food & learningi

• More stars than 0% of the other 1301 servers in this category
• Published to the registry more recently than 96% of the other 1301 servers in this category
• Basic checks equal to or better than 47% of the other 1301 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

README from the maker

No README found in the repo