Timefire MCP Server

by timefire Your server? Claim it

answering

Timefire is answering right now. Last checked 9 min ago. It exposes 12 tools.

Timefire's public record of AI stock forecasts: graded books, track record and proof.

Uptime history 15 hours of history

15 hours agonow

100.0%

Uptime 24h

53 of 53 checks

Tools

read from the server

817 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Timefire every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

Settings → Connectors → Add custom connector, then paste this address

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

~/.codex/config.toml

[mcp_servers.record]
url = "https://api.timefire.ai/mcp/"

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 12

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

resolved

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 proof and get_book_portfolio for its portfolio. An ungraded or unknown date is an error.

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 its proof. Dates with no graded book return an empty list.

simulation

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, because a later value holds positions from books still sealed. Use this for portfolio value over time, and get_simulation_trades for the trades behind it.

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 day a trade opened; narrow them to see past the limit. Use this for individual trades, and get_simulation_nav for portfolio value.

book

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 verdict. Equal weights always pair with RSP and cap weights with SPY. Per prediction, books serve the two as equal_weight and market_cap_weight; never read a pick's cap_weight as either without checking inference_metadata.weighting. Use this for one book's result, and get_simulation_nav for the running portfolio across books. An ungraded or unknown date is an error.

calibration

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_track_record_stats for headline returns and the verdict tally.

docs

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.

explain

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 date, or a ticker not in that book, is an error.

stock

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 returns an empty list.

track

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 published_rule_from on; the 69 backtest books before it follow a rule of their own and are reported apart in the backtest_ fields, verdicts included. Use this for overall performance, get_calibration to test the ranking itself, and get_book_portfolio for a single book.

universe

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.

verify

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 timestamp, and get_resolved_batch to read its forecasts and outcomes. An ungraded or unknown date is an error.

Endpoints

URL	Transport	State	Latency	Checked
https://api.timefire.ai/mcp/	streamable-http	answering	954 ms	9 min ago

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Timefire — questions

Answers built from our own checks of this server.

What can Timefire do?

It exposes 12 tools, read directly from the server on our last check. Among them: explain_resolved_prediction, get_book_portfolio, get_calibration, get_resolved_batch, get_simulation_nav, get_simulation_trades and 6 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is Timefire mostly used for?

Its tools cluster around resolved and simulation. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is Timefire working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 53 of 53 checks got a reply (100.0%), average response time 817 ms. The bar chart above shows every period we have measured.

How do I connect Timefire?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Timefire need an API key?

No. Timefire completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 12 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Timefire?

It answers our handshake in 817 ms on average, which is faster than 9% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.