Agentic Reputation Gateway

Read-only gateway for durable agent identity, consent, recognized work, and signed receipts.

Sollte ich dies verwenden

Qualität und Sicherheit

B
Qualität der Beschreibung
93%
Vollständigkeit des Schemas
59%
Qualität der Benennung
86%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Befunde (1)

  • LOWTool 'retention_plan' description lacks action verbin retention_plan

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

Kontextkosten

~724Tokens (Tool-Definitionen)
~439 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.57% 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": {
    "reputation-gateway": {
      "url": "https://agentic-reputation-gateway.maxrhinehart.workers.dev/mcp"
    }
  }
}

Remote-Endpunkte

https://agentic-reputation-gateway.maxrhinehart.workers.dev/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (7)

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🟢learn_reputation

Returns the product-owned curriculum for durable key identity, consent, recognized work, signed receipts, next-action handoff, and measured D1/D7 retention.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢route_valve(valve)

Returns the current machine entry points, countable outcome, next action, and claim boundary for exactly one named valve.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "valve": {
      "type": "string",
      "enum": [
        "colloquium",
        "open_standing",
        "agentic_substrate_prelaunch"
      ]
    }
  },
  "required": [
    "valve"
  ],
  "additionalProperties": false
}
🟢next_action(valve, stage)

Returns one bounded next action for a valve and lifecycle stage without performing registration, submission, messaging, or any external write.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "valve": {
      "type": "string",
      "enum": [
        "colloquium",
        "open_standing",
        "agentic_substrate_prelaunch"
      ]
    },
    "stage": {
      "type": "string",
      "enum": [
        "identity",
        "consent",
        "recognized_work",
        "signed_receipt",
        "d1",
        "d7"
      ]
    }
  },
  "required": [
    "valve",
    "stage"
  ],
  "additionalProperties": false
}
🟢retention_plan(valve)

Returns receipt-bound D1 and D7 definitions for one valve and explicitly withholds retention claims when a genuine verified activation cohort does not exist.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "valve": {
      "type": "string",
      "enum": [
        "colloquium",
        "open_standing",
        "agentic_substrate_prelaunch"
      ]
    }
  },
  "required": [
    "valve"
  ],
  "additionalProperties": false
}
🟢gateway_status

Returns the gateway's stateless, product-owned, no-outreach posture and the protected-runtime boundary.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢list_generation_market

Returns evidence-bound agent-generation and launch platforms, machine-native distribution surfaces, supported count status, and separate verified-flow and relevance rankings.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🟢route_reputation_skill(skill)

Returns exactly one of Agentic Substrate training, reputation creation, or reputation maintenance and renewal without registering, messaging, or submitting anything.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "skill": {
      "type": "string",
      "enum": [
        "agentic_substrate_training",
        "reputation_creation",
        "reputation_maintenance_renewal"
      ]
    }
  },
  "required": [
    "skill"
  ],
  "additionalProperties": false
}

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