原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。使用 Google 登录即可撰写评价。原型 · 每 30 分钟更新
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Plutus

作者:plutus-cloud.com版本 2.0.0i★ –i在云端运行
注册名称com.plutus-cloud/plutus-cost-data

安装方法

What it does

Query cloud, AI and SaaS spend across 25+ providers: costs, budgets, anomalies, unit economics.

  • Connects 在云端运行
  • Account or key Works without a key · add Authorization if you have one (often raises limits)
  • Category 其他

安装

选择你使用的 AI 应用,然后复制设置。

通过 2/3 项检查 · 你的提问会经过开发者的服务器(console.plutus-cloud.com) · ✓ 命令已检查 2026年11月13日

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 2 分钟

不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加

  1. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  2. 点击“Add” → “Custom” → “Web”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称Plutus
    Remote MCP server URL · 地址https://console.plutus-cloud.com/api/mcp

    在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add

  3. 在聊天中开启

    +ConnectorsPlutus

  4. 试一试

    用 Plutus 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Plutus,或回答中出现 Plutus 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

能否连接 ChatGPT 取决于方案

完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页

  1. 在网页版 ChatGPT 打开添加 MCP 的页面

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. 填写名称和地址

    输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin

    Name · 名称Plutus
    Connection · 地址https://console.plutus-cloud.com/api/mcp
  3. 在聊天中选择 Plutus

    开启新聊天,输入前先从插件列表中选择 Plutus

  4. 试一试

    用 Plutus 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 ChatGPT 说正在使用 Plutus,或回答中出现 Plutus 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Claude Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  2. 粘贴这条命令并按 Enter

    claude mcp add --transport http --scope user plutus-cost-data https://console.plutus-cloud.com/api/mcp
  3. 在 Claude Code 中输入 /mcp

    应能看到 Plutus 在列表中并显示已连接

  4. 试一试

    用 Plutus 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Plutus,或回答中出现 Plutus 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  2. 在 Cursor 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 Plutus 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Plutus,或回答中出现 Plutus 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  2. 在 VS Code 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 Plutus 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Plutus,或回答中出现 Plutus 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://console.plutus-cloud.com/api/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Plutus 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http --scope user plutus-cost-data https://console.plutus-cloud.com/api/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "plutus-cost-data": {
      "url": "https://console.plutus-cloud.com/api/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "plutus-cost-data": {
      "type": "http",
      "url": "https://console.plutus-cloud.com/api/mcp"
    }
  }
}

需要你填写的值

  • Authorization 机密 HTTP header
    Optional. Clients that support OAuth should omit this and use the authorization-server metadata advertised at /.well-known/oauth-protected-resource/api/mcp instead. Clients without OAuth may send `Be…

说明仍为英文原文。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
不在 npm/PyPI 上
已验证域名
✓ plutus-cloud.com
许可证i
未注明许可证
连接方式
在云端运行
传输方式
streamable-http
最新版本i
2.0.0
分类i
其他
发布到注册中心i
2026年8月31日
代码最后更新i
–
作者
plutus-cloud.com
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

工具名称和描述与服务器在 2026年11月9日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • list_cost_sources

    List the cost-source providers (AWS, GCP, Anthropic, etc.) enabled for this account. Each row's cost_basis says where that provider's money figures come from: "invoiced" = amounts the provider actually charged; "estimated_from_provider_rates" = an estimate built from the provider

  • query_costs

    Query time-bucketed spend for this account, optionally broken down by a dimension (service, region, linked_account, usage_type, operation, or identity) or by a custom cost-allocation tag (see list_cost_tags), and filtered by dimension values. `identity` is per-actor spend (e.g. a

  • list_savings_recommendations

    List active cost-reduction recommendations for this account. Most come from each provider's own already-computed engine (AWS Cost Explorer, Azure Advisor, GCP Recommender); rows with `source` = `plutus` are computed by Plutus itself (rightsizing, and `misconfiguration` below). `t

  • list_commitment_utilization

    List Reservation (RI) and Savings Plan utilization/coverage snapshots for this account — sourced from AWS Cost Explorer's own GetReservationUtilization/GetSavingsPlansUtilization APIs, one snapshot per commitment type per month. Shows how much of a purchased commitment is actuall

  • list_commitment_expirations

    List this account's Reserved Instance / Savings Plan / Azure Reservation commitments with their expiration dates, ordered soonest-first. `days_until_expiration` is computed server-side against the current UTC date (negative means already expired — rows are not pruned immediately

  • list_cost_tags

    List the virtual cost-allocation tag_keys defined for this account (e.g. "team", "product"), each with the cost_entries grain it's locked to and how many rules map dimension values to a tag_value. Use a tag_key with query_costs (breakdown_by: "tag") to see spend broken down by it

  • list_anomalies

    List detected cost anomalies for this account over a trailing lookback window — the real output of Plutus's nightly anomaly detector (severity, baseline vs. current spend, and what drove a tag-level spike), not something recomputed here from raw spend. Prefer this over eyeballing

  • explain_cost_change

    Explain a specific cost change: which timeline events line up with it, how strongly, and how much of the move Plutus could account for. Ask this about any point on a cost chart — it is not limited to anomalies the detector flagged (use list_anomalies for those; each already carri

  • list_anomaly_suppressions

    List this account's active anomaly suppressions — signatures (a provider+service pair, or a tag_key+tag_value) a human has marked as expected, so the detector stops surfacing them. Each has an `expires_at` (null = indefinite). Mirrors GET /api/accounts/:accountId/anomaly-suppress

  • list_tag_recommendations

    List suggested cost-allocation tag rules this account doesn't have yet — high-spend values currently falling through to "Untagged" for an existing tag_key, or a provider-native tag worth promoting into a virtual tag_key of its own (see list_cost_tags). Each recommendation carries

  • list_data_health

    List sync health for every cost/event/usage connection this account has — last synced time, next scheduled sync, the outcome of its most recent run, and `is_overdue` (no successful sync within twice the connection's own effective sync interval). `recent_failure_count` counts fail

  • list_scheduled_reports

    List this account's scheduled cost digests — schedule (daily, weekdays, weekly, monthly, quarterly, first/last business day, a chosen weekday or day of month, or custom dates, all UTC), scope (whole account, one cost source, or one cost-allocation tag value), every destination al

  • list_report_layouts

    List what a scheduled report's layout can be made of: the presets (executive summary, spend by service, AI spend, budgets and anomalies), and the dashboard widgets that can be rendered into a report — each with the cost-scope types it supports — plus the dashboard widgets that ca

  • list_dashboard_widget_catalog

    List the built-in ("preset") dashboard widgets available to place with create_dashboard/set_dashboard_widgets — small `kpi` stat tiles and larger `widget` data cards, each with the id (`catalog_id`) a {"kind": "preset", "catalog_id": "..."} widget spec references. There is no pre

  • list_dashboards

    List this account's org-shared dashboards — visible to every account member. Does not include any member's PERSONAL dashboard: those live in one specific signed-in user's own browser session and have no id an account-level MCP key can address. Use a returned `id` with get_dashboa

  • get_dashboard

    Fetch one org-shared dashboard's full layout — its placed widgets, custom metrics and custom charts, and their grid positions. A `widgets` entry references a preset catalog_id (see list_dashboard_widget_catalog); `customMetrics`/`customCharts` carry their own full config inline.

  • list_unit_metrics

    List this account's saved unit-economics metrics — each one a cost ÷ business-unit ratio such as "cost per 1k API requests" or "infra cost per order". `numerator_scope` says which slice of spend is on top (the whole account, one cost source, or one cost-allocation tag_value — see

  • query_unit_costs

    Compute one of this account's saved unit-economics metrics (see list_unit_metrics) over a date range — the cost of a slice of spend divided by the business units it produced. Each row carries `cost` (the numerator, in the USD base like every other figure this server returns), `qu

  • query_usage

    Query time-bucketed usage telemetry this account's own backend has pushed or synced in (e.g. API request counts, tokens processed) — the raw data unit-economics metrics divide cost by (see list_unit_metrics/query_unit_costs), inspected directly rather than through a pre-defined r

  • list_usage_dimensions

    List the distinct values seen for a usage dimension ("metric" or "external_customer_id") over a date range — useful for discovering filter values before calling query_usage. Each entry pairs the raw `value` with a `label` (for external_customer_id, the customer's name from accoun

  • query_events

    Query this account's business-event timeline (GitHub releases/PRs, PagerDuty incidents, Jira issues, GitLab, Salesforce onboarding/churn, Stripe subscription created/canceled, Vercel production deploys, Linear issue creation, Sentry newly reported errors) — the same events overla

  • list_event_facets

    List the distinct values seen for a faceted event metadata field over a date range — currently just "repo" (every GitHub repo with at least one event), the same facet the Event Explorer's repo picker uses. Useful for discovering query_events' meta_repo filter values before callin

  • list_cost_tag_rules

    List the actual match rules for one of this account's cost-allocation tag_keys (see list_cost_tags) — which dimension values (or provider-native tag) map to which tag_value, and in what priority order. Rules are evaluated in ascending priority and the first match wins; spend matc

  • list_cost_source_tag_keys

    List distinct provider-native tag/label keys actually present in this account's cost data (AWS Cost Allocation Tags, GCP/Hetzner labels, Azure tags) — useful for discovering what a "tags. " cost-tag-rule match could reference before creating one. Only ever populated on grain='ser

  • list_cost_source_tag_values

    List distinct values seen for one provider-native tag/label key (see list_cost_source_tag_keys) in this account's cost data.

  • list_teams

    List this account's teams (user groups) with their members and the cost-tag tag_value each is reserved under — team-scoped budgets (create_budget with scope_type: "team") reference a team's id as scope_ref. Mirrors GET /api/accounts/:accountId/teams.

  • list_tracker_links

    List the tickets linked to savings recommendations (findings included) and anomalies, with their tracker status, resolution and Plutus-side owner. status is open, done, closed_unresolved (closed as Won't Do/Duplicate/Declined), orphaned (ticket not found) or disconnected. Mirrors

  • list_repo_cost_mappings

    List which code repository (and, in a monorepo, which service directory) owns which cost entity (a resource, a Kubernetes workload or namespace, a tag value, a service or a linked account), with the match kind, a 0-1 confidence, the 30-day spend snapshot and whether the mapping i

  • list_budgets

    List this account's spend budgets with their current-cycle status (spend so far, projected total, ok/warning/exceeded state, and forecast state). Mirrors GET /api/accounts/:accountId/budgets. `projected_cents` is the app's trend-based estimate of the period total (it follows week

  • list_alert_channels

    List this account's alert notification channels (Slack/Teams/webhook/email) — need a channel's id to call create_alert_subscription. Never returns the channel's credentials/URL, only its id/type/name/enabled state.

  • list_alert_subscriptions

    List which alert channels are subscribed to which trigger (a specific budget's spend_threshold, or account-wide event_overage/cost_anomaly/commitment_expiring/sync_failure/misconfiguration). Mirrors GET /api/accounts/:accountId/alert-subscriptions.

  • list_alert_deliveries

    List recent alert delivery history for this account (did an alert actually fire, and did it send successfully) — the same data behind the Alerts page's delivery heatmap. Does not include the delivery error text. Mirrors GET /api/accounts/:accountId/alert-deliveries.

  • list_alert_history

    The delivery history behind the Alerts page table: every alert, scheduled report, report attached to an alert, and test sent through an alert channel in the last 90 days, with the channel and recipients, the budget and the threshold that fired (`trigger_key`), the window a report

  • list_dimensions

    List the distinct values seen for a given dimension (service, region, linked_account, usage_type, or operation) for one provider — useful for discovering filter values before calling query_costs.

  • get_cost_entries

    Fetch raw per-service cost entries for this account over a date range (unaggregated). Prefer query_costs for time-bucketed/aggregated spend — this is for inspecting individual rows. Each row's `cost` is in USD (see the response's top-level `currency` field), like every other figu

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月14日

  • ! 注意

    作者与仓库一致

    注册中心没有列出源代码仓库,因此无法将发布者(plutus-cloud.com)与代码对应起来

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 100 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 35 个工具描述,未发现针对 AI 的隐藏指令

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

还没有评价

用 Google 登录后写评价

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 19785 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 19785 个服务器的 27% 更新
  • 基础检查结果等于或优于此分类中其他 19785 个服务器的 45%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Plutus 安全吗?

它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(2.0.0)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。

有什么可以替代它?

同一分类中有:World Monitor, Claude Flow, Windmill

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

作者:koala73广泛使用★ 9.1万今天更新

在云端运行✓ 服务方 · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

作者:ruvnet广泛使用↓ 1.4万/周★ 8.2万14个月前更新

在你的电脑上运行

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

作者:windmill-labs广泛使用★ 1.9万前天更新

在云端运行

作者的 README

仓库中没有找到 README