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neurogenesis

Developmental agents for the agent economy: create an agent from a digital genome, then evolve it wi

使うべきか

品質と安全性

A
説明の品質
96%
スキーマの完全性
67%
命名の品質
94%
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%

検出事項（1）

  • LOWTool 'describe_agent' description lacks action verbdescribe_agent 内

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

~1,906トークン数（ツール定義）
~1.1 KB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 1.49%）

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": {
    "neurogenesis": {
      "url": "https://mcp.viridisconservation.com/neurogenesis/mcp"
    }
  }
}

リモートエンドポイント

https://mcp.viridisconservation.com/neurogenesis/mcpstreamable-http

できること

ツール一覧

ツール（14）

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟡create_agent(genome, request_id)

Create a developmental agent from a digital genome: {agent_name, purpose, initial_nodes (unique, >=1), fitness_metrics (>=1), optional growth_rules / safety_axioms}. Returns agent_id + initial graph summary.

入力スキーマ

{
  "type": "object",
  "properties": {
    "genome": {
      "additionalProperties": true,
      "title": "Genome",
      "type": "object"
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Request Id"
    }
  },
  "required": [
    "genome"
  ],
  "title": "create_agentArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "create_agentOutput"
}
🟡submit_evaluation(agent_id, evaluation, request_id)

Evolve an agent with one task outcome: {task_id, task_type, success_score in [0,1], optional accuracy/user_satisfaction/ cost_efficiency/safety_score/notes/used_nodes/used_edges}. Success strengthens the used edges, failure weakens them; growth and pruning follow the genome's rules under its safety axioms (NG1). Returns the new developmental-ledger events.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "title": "Agent Id",
      "type": "string"
    },
    "evaluation": {
      "additionalProperties": true,
      "title": "Evaluation",
      "type": "object"
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Request Id"
    }
  },
  "required": [
    "agent_id",
    "evaluation"
  ],
  "title": "submit_evaluationArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "submit_evaluationOutput"
}
🟢get_agent(agent_id)

Full current state: genome, cognitive graph (nodes/edges with weights and trust), and summary counts.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "title": "Agent Id",
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ],
  "title": "get_agentArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_agentOutput"
}
🟢list_agents

All developmental agents on this mount, with summary counts.

入力スキーマ

{
  "type": "object",
  "properties": {},
  "title": "list_agentsArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "list_agentsOutput"
}
⚪best_next_steps(agent_id, from_node, limit)

Routing recommendation: the strongest next cognitive steps from a given node, by learned edge weight and trust.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "title": "Agent Id",
      "type": "string"
    },
    "from_node": {
      "title": "From Node",
      "type": "string"
    },
    "limit": {
      "default": 3,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "agent_id",
    "from_node"
  ],
  "title": "best_next_stepsArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "best_next_stepsOutput"
}
🟢get_ledger(agent_id, limit)

The append-only developmental ledger: every growth, pruning, and evaluation event with reasons (NG3 — returned verbatim).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "title": "Agent Id",
      "type": "string"
    },
    "limit": {
      "default": 100,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "agent_id"
  ],
  "title": "get_ledgerArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "get_ledgerOutput"
}
⚪export_state(agent_id)

Portable state document for an agent (import_state recreates it anywhere — including a self-hosted verdigraph-neurogenesis).

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "title": "Agent Id",
      "type": "string"
    }
  },
  "required": [
    "agent_id"
  ],
  "title": "export_stateArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "export_stateOutput"
}
⚪import_state(state, request_id)

Recreate an agent from an export_state document.

入力スキーマ

{
  "type": "object",
  "properties": {
    "state": {
      "additionalProperties": true,
      "title": "State",
      "type": "object"
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Request Id"
    }
  },
  "required": [
    "state"
  ],
  "title": "import_stateArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "import_stateOutput"
}
🔴delete_agent(agent_id, request_id)

Remove a developmental agent from this mount.

入力スキーマ

{
  "type": "object",
  "properties": {
    "agent_id": {
      "title": "Agent Id",
      "type": "string"
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Request Id"
    }
  },
  "required": [
    "agent_id"
  ],
  "title": "delete_agentArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "delete_agentOutput"
}
🟢register_compute_profile(profile, request_id)

Register a caller-owned Wu Wei execution profile: reuse/cache, deterministic rule, local model, tool/workflow, or cloud model. Profiles can declare quality, reliability, capabilities, token costs, latency, locality, energy rates or average power, carbon intensity, and cache confidence/age. Routing never invents capacity or energy evidence.

入力スキーマ

{
  "type": "object",
  "properties": {
    "profile": {
      "additionalProperties": true,
      "title": "Profile",
      "type": "object"
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Request Id"
    }
  },
  "required": [
    "profile"
  ],
  "title": "register_compute_profileArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "register_compute_profileOutput"
}
⚪route_task(task, request_id)

Choose the least-burden eligible route for a task. Hard constraints include quality, reliability, locality, capabilities, context, cost, latency, and energy. Optional baselines quantify predicted savings. Explicit allow_defer/value/urgency fields may produce a no-work decision; no result is then claimed. Returns a hash-bound decision receipt.

入力スキーマ

{
  "type": "object",
  "properties": {
    "task": {
      "additionalProperties": true,
      "title": "Task",
      "type": "object"
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Request Id"
    }
  },
  "required": [
    "task"
  ],
  "title": "route_taskArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "route_taskOutput"
}
⚪record_route_outcome(decision_id, success_score, actual_cost_usd, actual_latency_ms, actual_energy_wh, ...)

Attach one observed outcome to a Wu Wei decision. Actual cost, latency, and energy are optional and remain explicitly unknown when omitted. One append-only, hash-bound outcome is allowed per decision.

入力スキーマ

{
  "type": "object",
  "properties": {
    "decision_id": {
      "title": "Decision Id",
      "type": "string"
    },
    "success_score": {
      "title": "Success Score",
      "type": "number"
    },
    "actual_cost_usd": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Actual Cost Usd"
    },
    "actual_latency_ms": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Actual Latency Ms"
    },
    "actual_energy_wh": {
      "anyOf": [
        {
          "type": "number"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Actual Energy Wh"
    },
    "notes": {
      "default": "",
      "title": "Notes",
      "type": "string"
    },
    "request_id": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Request Id"
    }
  },
  "required": [
    "decision_id",
    "success_score"
  ],
  "title": "record_route_outcomeArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "record_route_outcomeOutput"
}
🟢compute_efficiency_report(limit)

Free read: decision/outcome receipts, route modes, compute avoided, predicted savings, predicted-vs-observed cost/latency/energy coverage, and Landauer-floor context. Estimates and observations stay distinct.

入力スキーマ

{
  "type": "object",
  "properties": {
    "limit": {
      "default": 50,
      "title": "Limit",
      "type": "integer"
    }
  },
  "title": "compute_efficiency_reportArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "compute_efficiency_reportOutput"
}
🟢describe_agent

Return capabilities and input contract.

入力スキーマ

{
  "type": "object",
  "properties": {},
  "title": "describe_agentArguments"
}

出力スキーマ

{
  "type": "object",
  "properties": {
    "result": {
      "title": "Result",
      "type": "string"
    }
  },
  "required": [
    "result"
  ],
  "title": "describe_agentOutput"
}

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検証済みバージョンは記録されていませんツール 14 件
検証済みバージョンは記録されていませんツール 14 件
検証済みバージョンは記録されていませんツール 14 件