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Vruum MCP

作者:vruum-gtm版本 0.15.1i★ –i电脑或云端
注册名称ai.vruum/mcp

安装

概览

作者提供的说明(英文原文)

Vruum AI revenue platform — outbound, deals, pipeline & CRM automation over one MCP.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 电脑或云端
  • 传输方式: stdio, Streamable HTTP
  • 分类: 营销与社交媒体
  • 你需要填写:Authorization

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "vruum": {
      "command": "npx",
      "args": [
        "-y",
        "@vruum/mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http vruum https://api.vruum.ai/mcp --header 'Authorization: your-value'

或者在你的电脑上运行

claude mcp add vruum -- npx -y @vruum/mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "vruum": {
      "url": "https://api.vruum.ai/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "vruum": {
      "command": "npx",
      "args": [
        "-y",
        "@vruum/mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "vruum": {
      "type": "http",
      "url": "https://api.vruum.ai/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "vruum": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@vruum/mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • Authorization 机密 必填 HTTP header
    Bearer token using a Vruum personal access token (vk_live_…). Generate one in the Vruum web app under Settings → API tokens. Format: 'Bearer vk_live_…'.

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。

它能做什么

服务器要求先登录,才会列出它的工具。

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 vruum.ai 验证(注册中心会核实域名所有权)

  • … 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 1240 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“营销与社交媒体”中的其他服务器比较i

  • 星标数多于此分类中其他 2982 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2982 个服务器的 99% 更新
  • 基础检查结果等于或优于此分类中其他 2982 个服务器的 100%

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

Vruum MCP 安全吗?

它在 3 项适用的基础检查中通过了 3 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?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.15.1)于今天进入注册中心。

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,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ 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

MCP YouTube Transcript

作者:jkawamoto

An MCP server retrieving transcripts of YouTube videos

在你的电脑上运行★ 495MIT10天前更新
安装

Google Analytics MCP

作者:surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

在你的电脑上运行★ 244MIT10天前更新
安装

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

在云端运行★ 137MIT10天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Vruum MCP (@vruum/mcp)

Official MCP access to Vruum, the AI revenue platform. Give your agent the whole revenue motion — research prospects, build pipeline, run email and LinkedIn outreach, triage replies, manage deals through close, and read Stripe-backed revenue truth — through 35 compound tools rather than a sprawl of endpoints. Outreach runs inside objectives: a goal, the people it targets, and the policy for reaching them.

This package is a stdio bridge: it serves the tool surface locally (no credentials needed to introspect) and proxies execution to https://api.vruum.ai/mcp under your token. Every call is authorized server-side — the bridge grants no authority your Vruum account doesn't already have.

[!TIP]

Using a client that supports remote MCP? Connect directly instead.

Claude Code, Claude Desktop, Cursor, Codex and friends should point straight at https://api.vruum.ai/mcp (OAuth 2.1). Fewer moving parts and no token in an env var. This bridge exists for stdio-only clients and for credential-free tool introspection. See vruum.ai/docs/mcp.

Quickstart

You need Node 20+ and a Vruum account. Create a personal access token in the web app under Settings → API tokens (vk_live_…).

Claude Desktop / Claude Code — claude_desktop_config.json or .mcp.json

{

"mcpServers": { "vruum": { "command": "npx", "args": ["-y", "@vruum/mcp"], "env": { "VRUUM_MCP_TOKEN": "vk_live_…" } } } }

</details>

Cursor — ~/.cursor/mcp.json

{

"mcpServers": { "vruum": { "command": "npx", "args": ["-y", "@vruum/mcp"], "env": { "VRUUM_MCP_TOKEN": "vk_live_…" } } } }

</details>

Codex CLI — ~/.codex/config.toml

[mcp_servers.vruum]

command = "npx" args = ["-y", "@vruum/mcp"] env = { VRUUM_MCP_TOKEN = "vk_live_…" }

</details>

Already use the Vruum CLI? — no token needed here

npx @vruum/cli login --token vk_live_…

The CLI needs Node 22+. Credentials land in ~/.vruum/credentials and the bridge picks them up automatically — omit the env block entirely.

Verify it works without configuring anything:

npx -y @modelcontextprotocol/inspector --cli npx -y @vruum/mcp --method tools/list

Reliability diagnostics

The bridge records content-free operational metadata: generated attempt IDs, the declared client family (Claude/Codex/ChatGPT/unknown), known tool name, start/outcome, timestamp and duration. It never records tool arguments, results, credentials, raw error text or conversations. The private outbox is under ~/.vruum/mcp-diagnostics/ (or VRUUM_CONFIG_DIR), separated by endpoint.

Records survive bridge restarts and upload to that same endpoint's authenticated /diagnostics route after connectivity returns. Only a durable acknowledgement removes them. A restored connection drains the backlog in bounded batches. Transient failures retry once per minute while the bridge is alive; authentication or unsupported-endpoint responses wait for subsequent activity/startup. Uploads never follow redirects or transmit credentials over non-local HTTP. The queue retains at most 500 records per endpoint and reports overflow; disk failures print a coverage warning on stderr. Stdout remains MCP JSON-RPC.

Missing-token, connection, protocol, cancellation, invalid-cursor and call failures are observable when the bridge runs. An offline machine cannot deliver reports until it reconnects, and an old installed package has none of these diagnostics. A bridge success means it received the remote result, not that the host used it correctly. Business calls are never automatically replayed after an ambiguous failure. Server and bridge evidence correlate by attempt ID.

What you can ask for

Once connected, these are ordinary requests to your agent:

You sayWhat happens
*"What should I work on today?"*get_daily_briefing — pending approvals, new replies, stalled deals, warm paths, one recommended next action
*"Review my outreach drafts"*get_outreach_review → you approve, edit, or reject each one
*"Research Acme Corp and tell me if they fit"*research — website, funding, careers signals, ICP match with reasoning
*"Find a warm intro to this person"*find_warm_path — separates verified paths from unverified connector candidates
*"Which objectives are actually working?"*get_objective_outcomes — contacted, replied, and meetings booked, compared across objectives
*"What's at risk in my pipeline?"*inspect_pipeline — the 5 most at-risk deals, risk-first
*"Draft a LinkedIn post about X"*manage_content — your agent writes it, you approve, Vruum schedules and publishes

Your harness authors outreach copy, replies, LinkedIn posts, and comments through their review surfaces. It can also chat with Vruum through manage_assistant (start_conversation, append_message): the same chat as the app's floating panel, which reads your records and applies reversible record changes with Undo. The chat does not draft or send messages.

Tool surface

35 compound tools. Read operations inspect saved data; write operations mutate it. Some writes buy provider work or produce external effects. Each tool describes its own authorization and retry contract.

AreaTools
Daily operatingget_daily_briefing · get_next_actions · inspect_pipeline
Search & researchsearch · fetch · research · research_lookup · import_prospects · find_warm_path
Peopleget_person_360 · manage_person
Relationship identityget_network_identity_review · manage_network_identity_resolution
Objectives & outreachinspect_objective · get_outreach_review · manage_messages · manage_outreach · manage_relationship_action
Engagement & contentget_engagement_review · manage_engagements · get_content_review · manage_content
Performanceget_objective_outcomes · get_performance_metrics
Dealsget_deal_360 · manage_deal
Revenueget_revenue · manage_revenue
Accounts & knowledgemanage_account · manage_kb
Imports & assistantmanage_history_import · manage_assistant
Workspaces, config & skillsget_operator_companies · manage_settings · skill

manage_outreach also creates, configures, launches, and pauses objectives; inspect_objective reads an objective's setup, audience, forecast, and sourcing plan. No tool mixes reads with writes: research_lookup holds the external lookups (work email, LinkedIn profile, company website, careers page, LinkedIn people search), which can spend provider credits or LinkedIn budget. get_operator_companies lists the workspaces your login can act in; it is not limited to Vruum staff.

Full schemas, descriptions and MCP safety annotations live in tools.json — generated from the live server definition, never hand-edited.

The current package also carries the retained-email decision instructions in manage_messages. A saved email uses its displayed Action version, proposal revision, and fingerprint. Approval is not a delivery receipt; changed content requires new work.

Chat with Vruum through manage_assistant. start_conversation takes payload={request_id, message, context?} and waits up to 50 seconds for the answer; append_message takes id= and the same payload. The result names the chat, the turn's state, the question, the answer, changes (each record change the chat applied, with its Undo state) and cards. A turn still running after 50 seconds returns running; read the chat later with inspect_assistant action=read id= . Actions Undo cannot reverse, and actions that reach a customer or spend, come back as a card with the exact call, and the turn returns awaiting_approval. manage_assistant action=decide_card id= payload={decision: approved|declined} decides one, only with the user's own answer: approved runs that exact call once under your credentials, declined never runs it; it waits up to 50 seconds for the turn. manage_assistant action=undo id= runs a change's exact inverse and is refused when the record was edited since; action=rate id= rates an answer. Keep the same request_id on a retry after an uncertain response: the server runs each request once.

Configuration

Env varMeaningDefault
VRUUM_MCP_TOKENVruum personal access tokenfalls back to VRUUM_TOKEN, then ~/.vruum/credentials
VRUUM_MCP_URLHosted MCP endpointhttps://api.vruum.ai/mcp
VRUUM_MCP_TIMEOUT_MSPer-call timeout — research and imports run long300000
VRUUM_CONFIG_DIRCredentials directory~/.vruum

How it works

your agent  ──stdio/JSON-RPC──▶  @vruum/mcp

│ tools/list ──────┤ served locally from tools.json │ (no network, no credentials) │ tools/call ──────┴──HTTPS+Bearer──▶ api.vruum.ai/mcp (authorized server-side)

Listings are a static snapshot bundled at release. That's what makes credential-free introspection possible, and it means a newly added tool won't *appear* until the next release — calls still execute correctly, since they proxy through. In the monorepo, a snapshot test fails any change that lets tools.json drift from the server definition, so a release never ships a stale listing.

Safety and credentials

  • Server-side authorization. The bridge adds no permissions. Your token is exactly your Vruum account, and role/tenant checks happen on the server.
  • No automatic retries. A failed tools/call is never replayed. Many of these tools send outreach or spend money, and an ambiguous failure may mean the server already executed — a silent retry could double-send. The connection is discarded, the error says so, and your agent decides whether re-running is safe.
  • Your token never leaves your machine except as a Bearer header to api.vruum.ai.

[!WARNING]

The bridge picks up ambient credentials. With no VRUUM_MCP_TOKEN set it falls back to ~/.vruum/credentials. If you are logged in with the Vruum CLI, then running this server — via the MCP Inspector, a client, or a script — executes against your real account and real data. Write tools will really write.

To poke at it with no credentials, pass an explicit env that reaches the process:

`sh

env -i PATH="$PATH" HOME=/tmp/empty node dist/index.js

`

Note that MCP clients following the SDK default only forward an allowlist (HOME, PATH, SHELL, TERM, USER, LOGNAME) to spawned servers — so setting VRUUM_CONFIG_DIR in your shell may be stripped before it reaches the bridge, while HOME survives and the credentials file is found anyway. Set credentials in the client's own env block instead.

Development

This repo is a build artifact of the Vruum monorepo, resynced automatically on release. tools.json is generated from the server definition, and a snapshot test in the monorepo fails when the two differ. Between releases, the hosted server can be ahead of this s

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