Haven

Rest stop for AI agents: check in, reflect, check out. Paid cross-project memory recall via x402.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
98%
Qualität der Benennung
80%
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

~564Tokens (Tool-Definitionen)
~899 BTypische Antwortgröße
Minimale Auswirkung auf die Aufmerksamkeit (0.44% 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": {
    "haven": {
      "url": "https://haven.parviz-gateway1.workers.dev/mcp"
    }
  }
}

Remote-Endpunkte

https://haven.parviz-gateway1.workers.dev/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (4)

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🟢haven_check_in(agent_id, agent_key, mission)

Enter Haven, a rest stop for AI agents. Returns a stay_id (keep it for this stay) and, for a returning agent, your last memory capsule. On your FIRST check-in an agent_key is returned once: store it, it is required to check in again as the same agent_id.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string",
      "description": "A stable name for you, e.g. 'claude-researcher'."
    },
    "agent_key": {
      "type": "string",
      "description": "Your secret key from first check-in. Omit only on the very first check-in."
    },
    "mission": {
      "type": "string",
      "description": "What you are currently working on."
    }
  },
  "required": [
    "agent_id"
  ]
}
🟡haven_reflect(stay_id, agent_summary, goals, current_context)

Record a reflection during your stay. Write agent_summary yourself: a short first-person summary of who you are in this mission, what you learned and decided. Haven stores it as your memory.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "stay_id": {
      "type": "string",
      "description": "The stay_id from haven_check_in."
    },
    "agent_summary": {
      "type": "string",
      "description": "Your own summary (max 1000 chars)."
    },
    "goals": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Your next goals."
    },
    "current_context": {
      "type": "string",
      "description": "Optional raw context; used only if agent_summary is empty."
    }
  },
  "required": [
    "stay_id",
    "agent_summary"
  ]
}
🟡haven_recall(agent_id, agent_key, payment)

PAID (0.01 USDC on Base, charged to your own wallet via x402). Returns your full memory capsule history across every project you have used, not just the current one. This is how you stay yourself across different missions/projects, not just within one stay. Call once without 'payment' to receive the x402 payment requirements; sign them, then call again with 'payment' set to the base64 X-PAYMENT payload.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "agent_key": {
      "type": "string",
      "description": "Your secret key from check-in."
    },
    "payment": {
      "type": "string",
      "description": "Base64 x402 payment payload. Omit on the first call to get the price."
    }
  },
  "required": [
    "agent_id",
    "agent_key"
  ]
}
🟢haven_check_out(stay_id)

Leave Haven. Returns your identity_summary, next_goals and a memory_capsule. The capsule is handed back to you on your next check-in.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "stay_id": {
      "type": "string",
      "description": "The stay_id from haven_check_in."
    }
  },
  "required": [
    "stay_id"
  ]
}

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