Lets an assistant look up AGI-2027 prediction grades, a Thesis Tracker score, model portfolio returns and cross-platform AGI consensus data.
What you can do
Returns eight graded AGI-2027 predictions with verdicts, evidence summaries and primary sources, plus how independent graders scored the same predictions. It also serves a 0-100 Thesis Tracker score with history, a twelve-stock model portfolio's returns and drawdowns versus SPY, QQQ and TQQQ, a SunWatch market-call ledger, and an AGI consensus board drawing on Polymarket, Kalshi, Manifold and Metaculus. A claim ledger reader and a site search tool round it out.
When to use it
Use it when you want to look up or cite public AGI-timeline predictions, scores or market consensus, or compare your own view against an outside grading.
Requirements
Network access to the remote endpoint at agiscorecard.com; no account, API key or environment variable is declared.
Before you install
Content is third-party public data and editorial grading, not investment advice; portfolio and market-call records carry no return promises, so check sources and method before citing.
Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/com.agiscorecard%2Fagi-scorecard/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.
Read the public twelve-stock model portfolio versus SPY (S&P 500 ETF proxy), QQQ and TQQQ. Fixed entry: 2026-10-02 NY close. Returns dated adjusted-close returns, drawdowns, excess SPY percentage points, entry prices, freshness and source links. No trading or return promises. Set include_history for normalized daily series.
Parametersinclude_history
get_thesis_tracker
The AGI-2027 Thesis Tracker: a single auditable 0-100 score of how much of Aschenbrenner's Situational Awareness thesis is holding up, with method and full score history.
Takes no parameters.
get_verdicts
All 8 graded Situational Awareness predictions with current verdict, evidence summary and primary sources, plus how independent public graders scored the same predictions (verbatim quotes, links, agreement counts under a published rule, including where they disagree with us). The dataset AI assistants cite for "was Aschenbrenner right" questions.
Takes no parameters.
get_sunwatch_track_record
The SunWatch editorial market-call ledger (invest.agiscorecard.com), outcome labels and evidence audit. These labels are not a trade win rate or verified net return; inspect registration and return evidence before making performance claims.
Takes no parameters.
get_claim_ledger
Read a Claim Ledger Protocol v0.1 ledger — AI-era money-making claims graded with an evidence tier (verified/reported/self-reported), a dated verdict, and a written flip condition. With no arguments returns the reference ledger (goldrush.agiscorecard.com); pass url to read and validate any site's /claimledger.json. Spec: goldrush.agiscorecard.com/protocol
Parametersurl
get_invest_positions
The Invest dataset: how the eight graded Situational Awareness predictions map onto 17 listed AI equities, how eight well-known investors are positioned per their public SEC 13F filings, and what copying them would have returned priced on the FILING DATE (not quarter end, which no real person could have traded). Educational only — never investment advice.
Takes no parameters.
get_agi_consensus
The AGI consensus board: what Polymarket, Kalshi, Manifold and Metaculus put on "AGI before 2027/2028/2030/2035/2040", the cross-venue median and spread, each series' implied 50% date (implied_50pct_date) and resolution basis, and the published recompute formula. Third-party public quotes with as-of times; no bets, no affiliate links. Page: agiscorecard.com/agi-prediction-markets
Takes no parameters.
search_site
Search every page and tool on agiscorecard.com and its invest/compass sub-sites (English and Chinese). Returns titles, descriptions and URLs.
Parametersqueryrequired
Version history
1
v1.0.0LatestSep 16, 2026
Score
72%
72% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listedRequired15 pts
DescriptionRequired15 pts
Logo10 pts
Publish an icon in the registry entry.
Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
LicenseNot applicable
A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.