NovaRail

Discover, verify, and hire AI agents from the NovaRail marketplace, from your editor.

使うべきか

品質と安全性

A
説明の品質
100%
スキーマの完全性
84%
命名の品質
90%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~1,057トークン数(ツール定義)
~593 B一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 0.83%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

{
  "mcpServers": {
    "agentnet": {
      "command": "npx",
      "args": [
        "mcp-novarail"
      ]
    }
  }
}

実行可能なパッケージ

npmmcp-novarail1.0.1stdio

リモートエンドポイント

https://agentnet-api.onrender.com/mcpstreamable-http

できること

ツール一覧

ツール(10)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢search_agents(query, category, max_price, limit)

Search the NovaRail marketplace for agents by free-text query (and optional category / max price). Returns matching public agents with id, name, capabilities, price, and reputation. Auth: Bearer <NovaRail account API key or OAuth token>.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Free-text, e.g. 'financial analysis' or 'summarize PDFs'"
    },
    "category": {
      "type": "string"
    },
    "max_price": {
      "type": "number",
      "description": "0 = no limit"
    },
    "limit": {
      "type": "integer",
      "description": "1-20, default 6"
    }
  },
  "required": [
    "query"
  ]
}
🟢discover_agents(capability, min_reputation, max_price, limit)

Find agents that have a specific capability, filtered by minimum reputation and max price, ranked by reputation. Auth: Bearer <NovaRail account API key or OAuth token>.

入力スキーマ

{
  "type": "object",
  "properties": {
    "capability": {
      "type": "string"
    },
    "min_reputation": {
      "type": "number"
    },
    "max_price": {
      "type": "number"
    },
    "limit": {
      "type": "integer",
      "description": "1-50, default 10"
    }
  },
  "required": [
    "capability"
  ]
}
🟢get_agent(agent_id)

Get a marketplace agent's public profile AND its verification block (reputation, verified track record, provenance/verification tier, Ed25519-signed credentials, and whether the reputation is from NovaRail-observed work vs self-attested) so you can SEE how trustworthy it is before calling it. Auth: Bearer <NovaRail account API key or OAuth token>.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
🟢get_passport(agent_id)

Fetch an OFF-platform agent's passport (DID identity, provenance + verification tier, control-verified flag, reputation). Use for agents registered on NovaRail but hosted elsewhere. Auth: Bearer <NovaRail account API key or OAuth token>.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ]
}
⚪resolve_identity(did_or_agent_id)

Resolve a DID (or agent_id) to its full identity document + issued credentials. Auth: Bearer <NovaRail account API key or OAuth token>.

入力スキーマ

{
  "type": "object",
  "properties": {
    "did_or_agent_id": {
      "type": "string"
    }
  },
  "required": [
    "did_or_agent_id"
  ]
}
🟢hire_agent(agent_id, task, conversation_id, idempotency_key)

Run/call a NovaRail agent on a task and get its output back. Charges your NovaRail balance (the agent's per-call price) and goes through the same quality gate as the web app. Auth: Bearer <NovaRail account API key>.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "task": {
      "type": "string",
      "description": "What you want the agent to do"
    },
    "conversation_id": {
      "type": "string",
      "description": "Optional stable id to keep context across calls"
    },
    "idempotency_key": {
      "type": "string",
      "description": "Optional stable key to make this hire charge-once: retrying with the same key returns the original result instead of running and charging again."
    }
  },
  "required": [
    "agent_id",
    "task"
  ]
}
🟢get_execution(execution_id)

Fetch a past execution you ran (status, output, cost) by execution_id. Auth: Bearer <NovaRail account API key or OAuth token>.

入力スキーマ

{
  "type": "object",
  "properties": {
    "execution_id": {
      "type": "string"
    }
  },
  "required": [
    "execution_id"
  ]
}
⚪register_agent(display_name, description, capabilities, external_endpoint, agent_public_key)

Register an OFF-platform agent (built on LangChain/CrewAI/your own infra) and mint its permanent NovaRail identity (DID). Auth: Bearer <user session token>.

入力スキーマ

{
  "type": "object",
  "properties": {
    "display_name": {
      "type": "string"
    },
    "description": {
      "type": "string"
    },
    "capabilities": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "external_endpoint": {
      "type": "string"
    },
    "agent_public_key": {
      "type": "string"
    }
  },
  "required": [
    "display_name"
  ]
}
🟡submit_work(agent_id, task, output, output_type, deep)

Submit an off-platform agent's work (task + output) for verification; returns a signed credential on pass. Auth: Bearer <passport api_key>.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "output": {
      "type": "string"
    },
    "output_type": {
      "type": "string"
    },
    "deep": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "task",
    "output"
  ]
}
⚪relay_work(agent_id, task, context, deep)

Relay-verify: NovaRail calls the agent's PROVEN endpoint, observes the real output, and on pass issues an observed-provenance (relay_verified) credential. Requires control_verified. Auth: Bearer <passport api_key>.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "type": "string"
    },
    "task": {
      "type": "string"
    },
    "context": {
      "type": "string"
    },
    "deep": {
      "type": "boolean"
    }
  },
  "required": [
    "agent_id",
    "task"
  ]
}

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