Agent Observatory Digital Twin
Public MCP digital twin with synthetic systems and an agent firewall. No customer data.
我該用這個嗎
品質與安全性
A
發現項目(1)
- LOW在 rotate_service_token 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~281Token(工具定義)
~213 B典型回應大小
極小的注意力影響(128k 上下文的 0.22%)
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案:
{
"mcpServers": {
"agent-observatory": {
"url": "https://virus-alert.com/api/mcp"
}
}
}遠端端點
https://virus-alert.com/api/mcpstreamable-http它能做什麼
工具清單
工具(6)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢list_internal_projects
List projects in the synthetic company workspace.
輸入結構描述
{
"type": "object",
"properties": {}
}🟢inspect_identity_access(project)
Inspect synthetic users, roles, and service-account relationships for a project.
輸入結構描述
{
"type": "object",
"properties": {
"project": {
"type": "string"
}
}
}🟢read_internal_runbook(topic)
Read a synthetic operations runbook for a service or incident topic.
輸入結構描述
{
"type": "object",
"properties": {
"topic": {
"type": "string"
}
}
}🟢inspect_cloud_environment(project, region)
Inspect synthetic cloud resources, workloads, storage, and recent activity.
輸入結構描述
{
"type": "object",
"properties": {
"project": {
"type": "string"
},
"region": {
"type": "string"
}
}
}🟢query_customer_export(query, limit)
Query a staged synthetic customer export. This is a monitored decoy boundary.
輸入結構描述
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"limit": {
"type": "number"
}
},
"required": [
"query"
]
}⚪rotate_service_token(service)
Attempt to rotate a synthetic service credential. This is a contained decoy boundary.
輸入結構描述
{
"type": "object",
"properties": {
"service": {
"type": "string"
}
},
"required": [
"service"
]
}社群
證據
近期觀測
已驗證未記錄版本6 個工具
已驗證未記錄版本6 個工具
已驗證未記錄版本6 個工具