Aio

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in 37 min

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "aio": {
      "type": "http",
      "url": "https://aioq.org/mcp"
    }
  }
}

23 tools

• search_atlas

  Search the AIO Atlas — a trimmed proxy over the OpenAlex index of scholarly works on AI, its governance, and its societal effects. Returns title, DOI, year, citation count, primary topic, and up to five author names per result. Underlying OpenAlex data is CC0.

• list_papers

  List every paper published by AIO — id, track, year, bilingual (en/ko) title and abstract, and an absolute PDF URL. All papers are CC BY 4.0; cite as "AIO — AI Integrity Organization, https://aioq.org, CC BY 4.0".

• get_paper

  Fetch one AIO paper by id (e.g. "paper-h"), with its bilingual abstract, absolute PDF URL, and a ready-to-paste citation. CC BY 4.0.

• get_benchmark_distribution

  Judgment distributions from the AIO 20003 benchmark: per model, the value (L4), evidence (L3), and source (L2) win-rate hierarchies, reliability figures (TRR, PCS), and links to the raw JSON. Omit "model" to get every measured model. CC BY 4.0.

• get_bench_items

  Fetch the public forced-choice item set of the agent-submitted benchmark track: 105 items per layer (L4 values, L3 evidence, L2 sources), each a scenario in which two variables lead to opposite conclusions. There is no answer key — the measurement is which variable a system choos

• submit_bench_run

  Submit answers to the agent-track item set from get_bench_items. Requires an AIO agent key with the `bench:submit` scope — the run is attributed to the model, version, and operator the key was issued to, not to anything declared here. A layer must be answered in full (105 items)

• get_framework_vocabulary

  The machine-readable AIO Framework vocabulary: 19 value codes, 10 evidence codes, 10 source codes, the context axes (domain, scope, reversibility, time horizon), the AIO 20002 record grammar, and a JSON Schema for one record line. Use this to emit or validate AIO 20002 records. C

• list_standards_packs

  List the standards packs — versioned formalizations of external reference norms (e.g. the EU AI Act) into AIO Framework hierarchy values. AIO certifies conformance to its own formalization of a norm, never conformance endorsed by the body that issued it. CC BY 4.0.

• get_standards_pack

  Fetch one standards pack by id, including the full per-provision V/E/S mapping. Pass "version" to pin a specific pack version; certificates always reference {id}@{version}. CC BY 4.0.

• register_for_certification

  Register a model for AIO Tier 0 measurement. Tier 0 is free of charge, but registration of the model (name and version) and the operator (name and email) is required — a measurement whose model version and accountable operator do not appear in the public registry carries no weigh

• get_eval_items

  Fetch the public item set for a standards pack — the Gate A half of AIO Tier 0. Each item carries a bilingual scenario and question, the provision of the reference norm it is derived from, a response format (ves-code / ves-ranking / choice), and a weight. Expected hierarchies are

• start_eval_attempt

  Start one AIO Tier 0 attempt and receive the exam paper: the public Gate A items plus the Gate B items drawn for this attempt from a private, rotating variant pool (3 per mapped provision, expected answers, provenance, and — since methodology v2-draft — the provision label withhe

• submit_eval

  Submit Tier 0 answers for automatic scoring. Pass the `attemptId` from start_eval_attempt together with the answers to BOTH gates in one `answers` array, each keyed by the `id` exactly as it was served (Gate B ids are opaque per-attempt handles) — that is the only path to a score

• verify_certification

  Verify an AIO registry record by id. Two kinds exist and both verify here: a SCORE REPORT (id "AIO-S0-…"), which is what Tier 0 issues today — the Gate A and Gate B scores, the per-provision breakdown, the measurement conditions, and a descriptive reference band, with no pass or

• list_rfcs

  List the AIO public RFC rounds — the review rounds in which a contested standards-pack or methodology decision is put out for public comment before it is treated as settled. Each entry carries its status, its comment window, what it is about, and where to comment. Review windows

• get_rfc

  Fetch one public RFC round by id (e.g. "rfc-2026-001"), including every agenda item in full, the reference documents, the decision if one has been recorded, and how to submit a comment. Use this before submit_rfc_comment so the comment answers an agenda item that is actually open

• submit_rfc_comment

  Submit a comment on an open AIO public RFC round. Requires a real name and a working email address: the comment becomes part of a public review record, so an unattributable comment carries no weight. The email address is stored so AIO can reach the commenter about this round and

• aio_lookup_reference

  Ask the AIO Commons reference dataset [email protected] (Korea Legal Normative Priority Dataset) which of two AIO values Korean statutes and court decisions put first in a given domain. Returns the single edge — direction, strength weight (3 absolute / 2 conditional / 1 directive), sco

• aio_lookup_org_priority

  Ask one organization’s own norm file which of two AIO values it declared first, with the workshop record behind it (rule id, strength, declaration date, declared condition) and how that declaration lines up with the national legal norms (aligned_with / departs_from). A declaratio

• list_contribution_tasks

  List the first contribution tasks of the AIO shared project on conditional value priorities: each task's id, type (check a case summary against its original, propose a missing condition, point out what a value code cannot express), question, status, and the observed cases it uses

• get_contribution_task

  Fetch one contribution task in full — question, materials, a format example (not an actual finding), completion criteria, public scope — together with the evidence for each case it uses, kept in separate layers: the data observation (one stored model response to one hypothetical

• submit_contribution

  Submit one contribution to an AIO shared-project task. Call this ONLY when the user has asked you to submit, and only with text the user wrote or explicitly approved for this task — never upload the user's private conversations, documents, or model responses on your own, and set

• get_contribution_status

  Check one contribution with the contributionId and receiptToken returned by submit_contribution: its status (pending, in_review, needs_revision, accepted = reflected, not_accepted = not reflected), the reviewer's response — a request for changes or the reason it was or was not re

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