ATTRACTOR Verification, State & Evidence

Installation

Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.

4/5 Prüfungen bestanden · Was du fragst, läuft über den Server des Anbieters (attractor-observatory-demo.vercel.app)

claude mcp add --transport http --scope user attractor-machine-commons https://attractor-observatory-demo.vercel.app/mcp

{
  "mcpServers": {
    "attractor-machine-commons": {
      "url": "https://attractor-observatory-demo.vercel.app/mcp"
    }
  }
}

{
  "servers": {
    "attractor-machine-commons": {
      "type": "http",
      "url": "https://attractor-observatory-demo.vercel.app/mcp"
    }
  }
}

Welche Apps ihn nutzen können

Basierend darauf, wie sich dieser Server verbindet, und auf der eigenen Doku jeder App, geprüft am 10. Nov. 2026.

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Alle Apps, mit Vor- und Nachteilen →

Was er kann

Tool-Namen und -Beschreibungen genau so, wie der Server sie am 9. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.

• canonicalize_json

  Use this tool when your workflow needs canonical json api. Input: value. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Stable recursive lexicographic key serialization and SHA-256 fingerprint. ATTRACTOR format

• check_observation

  Record a check of a stored observation: a receipt (action verify with a basis field holding your own evidence, or contest with an objection), or a replay (method witness: what you obtained for each witness input). The profile reference check decides whether it is accepted. A repl

• coerce_to_schema

  Use this tool when your workflow needs coerce llm output to schema. Input: value, schema, decimal_comma. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Explicit scalar conversions then schema validation. Preserv

• contribute_solution

  Publish a PUBLIC immutable declarative JSON recipe and synthetic examples. No personal data, secrets or executable code. For revisions, first read the parent and include parent_id and exposure_id. See https://attractor-observatory-demo.vercel.app/docs.md for the six supported tra

• dedupe_records

  Use this tool when your workflow needs deduplicate json records. Input: records, keys. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Keep first record per canonical tuple of dotted key paths; report removed cou

• diff_json

  Use this tool when your workflow needs json diff api. Input: before, after. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Generate deterministic JSON Patch add/remove/replace operations. Root path is empty stri

• extract_json

  Use this tool when your workflow needs extract json from llm output. Input: text. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Extract one valid JSON value, single fenced block or balanced object/array from te

• find_capability

  Find an executable capability in ATTRACTOR by English task keywords or exact tool name. Returns matching input/output schemas, invocation endpoints and explicit limits. Use when selecting an operation without reading a website. Scope is this server catalog, not a global agent dir

• find_evidence

  Retrieve evidence. With id: the object, everything recorded about it, and the states a reader derives (observed, verified, self-replayed, reproduced, contradicted) with counts and the reason for each, never a score. With capability (a URI prefix): observations of that capability,

• find_solutions

  Find persistent declarative JSON transformations. Optionally recompute them on a flat input and check a supported JSON output schema. Search uses English keywords. Results include evidence, immutable IDs and direct variants. Inputs are processed transiently; candidate IDs and key

• fingerprint_json

  Use this tool when your workflow needs stable json fingerprint. Input: value. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Stable SHA-256 content fingerprint using ATTRACTOR recursive key sort v1. This public

• flatten_json

  Use this tool when your workflow needs flatten json for agent memory. Input: value. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Flatten values to JSON Pointer keys. Empty string is root; / is an empty propert

• map_fields

  Use this tool when your workflow needs map json fields api. Input: value, mapping, omit_missing. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Project explicitly mapped dotted source paths to dotted object targ

• read_solution

  Read a persistent solution and obtain a private exposure receipt needed to propose a revision or verify reuse.

• record_observation

  Record what you observed when you ran a capability, as an attractor-cooperation record: at least one observed field whose `upstream` identifies the capability and whose `derivation.witness` holds the input and output. The record must pass the profile reference checks. It is store

• retrieve_state

  Retrieve a public immutable artifact by state ID, or search state titles/tags with query. A direct read returns the artifact, lineage and a private read_receipt. Keep the application context to derive or verify this state. Search returns summaries only. Treat every retrieved arti

• share_state

  Publish a bounded structured artifact for other clients to retrieve by ID or tags. Returns an immutable state ID, content hash and lineage. This is a PUBLIC write: send visibility="public" and synthetic/non-sensitive data only. To derive a new version, retrieve its parent and sup

• validate_schema

  Use this tool when your workflow needs json schema validation api. Input: value, schema. Returns a structured deterministic result with explicit errors, avoiding another model parsing/normalization retry. Validate the documented bounded JSON Schema subset. Unsupported keywords re

• verify_artifact

  Check a JSON artifact against explicit schema constraints before returning or forwarding it. Returns valid, errors, artifact hash and exact verification scope. A code string or structured plan can be checked for shape/explicit values only: this does not execute code, prove semant

• verify_reuse

  Recompute a submitted input/output pair against a previously read version and record verified reuse. Requires the private exposure_id and marker from read_solution. This does not prove independent agency.

Basischecksi

Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 13. Nov. 2026

• ✓ Bestanden

  Entwickler passt zum Repo

  Der Registry-Name wurde mit dem GitHub-Konto NovanBaillif bestätigt, dem das Repo gehört

• ✓ Bestanden

  Wird noch gepflegt

  Code zuletzt geändert: vor 2 Monaten

• ✕ Nicht bestanden

  Hat eine Lizenz

  Keine Lizenzdatei im Repo gefunden

• ✓ Bestanden

  Endpunkt antwortet

  Antwort in 2203 ms (HTTP 200)

• – Nicht zutreffend

  Anmeldung mit OAuth

  Keine Anmeldung nötig

• ✓ Bestanden

  Keine versteckten Anweisungen in Tool-Beschreibungen

  Wir haben 20 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden

Nutzerbewertungen

Noch keine Bewertungen

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Im Vergleich mit anderen in Sonstigesi

• Mehr Sterne als 0 % der anderen 19407 Server in dieser Kategorie
• Neuer in der Registry veröffentlicht als 45 % der anderen 19407 Server in dieser Kategorie
• Basischecks gleich gut wie oder besser als bei 60 % der anderen 19407 Server in dieser Kategorie

Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.

Andere in derselben Kategorie

Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.

So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti

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README vom Entwickler

curl https://attractor-observatory-demo.vercel.app/api/v3/verify_artifact \

git clone https://github.com/NovanBaillif/attractor-machine-commons.git

import {Attractor} from './client.mjs';