anteroom

Frontier-AI vendor commitments, safety framework history, corpus, and partnership patterns.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
100%
Qualität der Benennung
100%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~829Tokens (Tool-Definitionen)
~1.3 KBTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.65% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "anteroom": {
      "url": "https://mcp.anteroom.so/mcp"
    }
  }
}

Remote-Endpunkte

https://mcp.anteroom.so/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (5)

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🟢get_vendor_commitments(vendor_slug)

Get the seven tracked commercial commitments (AUP, no-train default, output ownership, IP indemnity program, retention default, deprecation notice, safety framework version) for a frontier AI vendor. Each commitment carries the quoted primary-source text, source URL, and effective date.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "vendor_slug": {
      "type": "string",
      "description": "Vendor slug. One of: anthropic, openai, google-vertex, meta, xai."
    }
  },
  "required": [
    "vendor_slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_framework_version_history(lab_slug)

Get the full version ledger of a frontier AI lab's safety framework (Responsible Scaling Policy, Preparedness Framework, Frontier Safety Framework, or equivalent). Returns every published version, effective date, published changelog, and primary source URL.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "lab_slug": {
      "type": "string",
      "description": "Lab slug. One of: anthropic, openai, google-deepmind, meta, xai."
    }
  },
  "required": [
    "lab_slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢search_corpus(query, jurisdiction, lens, limit)

Search Anteroom's tracked corpus of AI-relevant regulatory provisions across jurisdictions (EU AI Act, US state laws, sectoral rules, international frameworks) and legal lenses. Returns matching provisions with primary-source URLs and confidence tags.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "minLength": 2,
      "description": "Free-text search query. Matched against provision label, plain-language summary, and primary-source excerpt."
    },
    "jurisdiction": {
      "type": "string",
      "description": "Optional jurisdiction filter. Examples: eu-ai-act, colorado-sb26-189, illinois-hb-3773, china-generative-ai-measures, uk-ai-safety-institute, singapore-model-ai-framework."
    },
    "lens": {
      "type": "string",
      "description": "Optional legal-lens filter. One of: ai-specific, privacy, sectoral, employment, accessibility, consumer-protection, ip, security, export-control, liability."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 15,
      "description": "Max number of provisions to return. Default 15, max 50."
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_partnership_pattern(pattern_slug)

Get a named strategic AI partnership pattern with its plain-language description, example clauses, kill-list moves, scholarly anchors, and real-world precedent anchors.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "pattern_slug": {
      "type": "string",
      "description": "Pattern slug. Examples: compute-backed-strategic-invest, hyperscaler-exclusive-then-multi-home, oem-with-third-party-ai-model, capacity-reserve-agreement, compute-for-equity, sole-source-ip-grant, sovereign-trade-capacity, white-label-metered."
    }
  },
  "required": [
    "pattern_slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢get_partnerships_by_pattern(pattern_slug, limit)

List every tracked public AI strategic partnership that Anteroom has classified as an instance of a given pattern. Returns partnership metadata with permalink to the primary-source-anchored deal page.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "pattern_slug": {
      "type": "string",
      "description": "Pattern slug. See get_partnership_pattern for the list."
    },
    "limit": {
      "type": "integer",
      "minimum": 1,
      "maximum": 50,
      "default": 20,
      "description": "Max number of partnerships to return. Default 20, max 50."
    }
  },
  "required": [
    "pattern_slug"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Empfohlene Prompts

search_research
Search for information about [topic] using anteroom
Erwartete Tools: search_corpus
find_specific
Find [specific item] using anteroom
Erwartete Tools: search_corpus
retrieve_data
Get details about [item] from anteroom
Erwartete Tools: get_vendor_commitments
fetch_info
Fetch [information type] using anteroom
Erwartete Tools: get_vendor_commitments
research_workflow
Search for [topic], then get detailed information about the top results using anteroom
Erwartete Tools: search_corpusget_vendor_commitments

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