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。评价和账户功能将在后续阶段推出。
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Competiflow

作者:nyku版本 0.2.0i★ –i在你的电脑上运行
注册名称io.github.nyku/competiflow-mcp

安装

概览

作者提供的说明(英文原文)

Competitor monitoring for AI agents: track rival pricing, docs and changelog changes with evidence.

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: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具
  • 你需要填写:COMPETIFLOW_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: COMPETIFLOW_API_KEY

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

  • 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 …”。

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

{
  "mcpServers": {
    "competiflow": {
      "command": "npx",
      "args": [
        "-y",
        "@competiflow/mcp-server"
      ],
      "env": {
        "COMPETIFLOW_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add competiflow --env COMPETIFLOW_API_KEY=your-value -- npx -y @competiflow/mcp-server

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": {
    "competiflow": {
      "command": "npx",
      "args": [
        "-y",
        "@competiflow/mcp-server"
      ],
      "env": {
        "COMPETIFLOW_API_KEY": "your-value"
      }
    }
  }
}

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": {
    "competiflow": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@competiflow/mcp-server"
      ],
      "env": {
        "COMPETIFLOW_API_KEY": "your-value"
      }
    }
  }
}

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。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

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

  • COMPETIFLOW_API_KEY 机密 必填 env
    Your Competiflow API key (sk_live_...), created under API keys in the dashboard

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

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

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8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 nyku 验证,该账户拥有此仓库

  • … 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

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 4917 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 4917 个服务器的 77% 更新
  • 基础检查结果等于或优于此分类中其他 4917 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

Competiflow 安全吗?

它在 1 项适用的基础检查中通过了 1 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:COMPETIFLOW_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.2.0)于10天前进入注册中心。

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。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

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

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT17天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
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。

Competiflow MCP Server

MCP (Model Context Protocol) server for Competiflow. Use competitor monitoring as tools in Cursor, Claude Desktop, Windsurf, and any MCP-compatible client.

Track competitors, run discovery, read the interpreted change feed, triage items, and pull workspace digests without leaving your AI client.

Setup

Create an API key in the Competiflow dashboard under API keys, then add the server to your client config. COMPETIFLOW_API_KEY is the only variable you need.

Cursor

Add to ~/.cursor/mcp.json:

{

"mcpServers": { "competiflow": { "command": "npx", "args": ["-y", "@competiflow/mcp-server"], "env": { "COMPETIFLOW_API_KEY": "sk_live_your_key_here" } } } }

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

{

"mcpServers": { "competiflow": { "command": "npx", "args": ["-y", "@competiflow/mcp-server"], "env": { "COMPETIFLOW_API_KEY": "sk_live_your_key_here" } } } }

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{

"mcpServers": { "competiflow": { "command": "npx", "args": ["-y", "@competiflow/mcp-server"], "env": { "COMPETIFLOW_API_KEY": "sk_live_your_key_here" } } } }

Available Tools

ToolAPIDescription
list_workspacesGET /v1/workspacesList workspaces with review counts
create_workspacePOST /v1/workspacesCreate a workspace (optional product_url)
update_workspacePATCH /v1/workspaces/:idRename, set or clear product_url, or pause/resume every monitor
delete_workspaceDELETE /v1/workspaces/:idRemove a workspace and all its history
add_competitorPOST /v1/workspaces/:id/competitorsAdd a competitor by homepage URL. Async discovery, idempotent on duplicate URL
list_competitorsGET /v1/workspaces/:id/competitorsList competitors with monitors and last_run
get_competitorGET /v1/competitors/:idRead one competitor
update_competitorPATCH /v1/competitors/:idSet cadence or status on all its monitors
delete_competitorDELETE /v1/competitors/:idRemove a competitor and all its history
list_monitorsGET /v1/monitorsList monitors with status, cadence, and last_run
get_monitorGET /v1/monitors/:idRead one monitor. Pass include for capture evidence
create_monitorPOST /v1/monitorsAdd a manual monitor on a specific URL
update_monitorPATCH /v1/monitors/:idUpdate URL, cadence, status, or min_severity
delete_monitorDELETE /v1/monitors/:idRemove a monitor and all its history
check_monitorPOST /v1/monitors/:id/checkQueue an on-demand check
refresh_workspacePOST /v1/workspaces/:id/refreshQueue checks for active monitors
list_changesGET /v1/changesChange feed with since, filters, and meta counts
get_changeGET /v1/changes/:idFull change. Pass include for capture or raw diff
update_changePATCH /v1/changes/:idSet review_status
get_digestGET /v1/workspaces/:id/digestWeekly workspace summary

Every tool declares MCP annotations (readOnlyHint, destructiveHint, idempotentHint, openWorldHint), so clients can ask before running the delete_* tools.

Prompts

PromptArgumentsWhat it does
weekly_briefingworkspace_id?, period?Summarizes competitor activity for a period, most important first
triage_changesworkspace_id?, min_severity?Walks the unreviewed inbox and proposes acknowledge or dismiss, then asks before updating
track_competitorurl, workspace_id?Adds a competitor, waits for discovery, and reports what is monitored

Without workspace_id, each prompt starts with list_workspaces.

Resources

URITypeContents
competiflow://guidetext/markdownAgent guide: the typical flow, discovery, evidence, and delete versus pause
competiflow://workspaces/{workspace_id}/digestapplication/json7-day digest of one workspace. Clients that list resources show one per workspace.

Typical flow

  1. list_workspaces or create_workspace (optional product_url improves competitive context on changes).
  2. add_competitor with a homepage URL.
  3. get_competitor until discovery_status is completed.
  4. refresh_workspace or check_monitor to pull fresh data.
  5. list_changes with since=7d and min_severity, or get_digest for a summary.
  6. get_change with include when you need evidence.
  7. update_change to acknowledge or dismiss items.

Discovery and idempotency

add_competitor starts discovery in the background and returns an acknowledgement, not the finished result. Poll get_competitor until discovery_status is completed.

A workspace runs one discovery at a time. Posting the same homepage URL again returns the existing competitor without starting a second run. If a different competitor is still discovering, the call returns 409 discovery_in_progress with active_competitor_id so you know which one to poll.

Evidence with include

get_change and get_monitor accept an include array to attach the underlying capture in one call:

TokenAvailable onReturns
captureget_change, get_monitorExtracted fields from the snapshot
capture_markdownget_change, get_monitorPage markdown from the snapshot
raw_diffget_changeBefore and after diff for the change

For a change the capture is the post-change page. For a monitor it is the latest successful check, which is the current baseline.

Delete versus pause

delete_monitor, delete_competitor, and delete_workspace are permanent. They remove the record along with its check runs, snapshots, and changes. To stop checks while keeping intel history, call update_monitor, update_competitor, or update_workspace with status: paused instead.

delete_workspace returns 409 discovery_in_progress while a competitor in the workspace is still being discovered.

Agent guidelines (for AI clients)

  • Poll discovery, do not assume: after add_competitor, poll get_competitor until discovery_status is completed before reading changes. On 409, poll the active_competitor_id from the error.
  • Filter the feed: pass since (1d, 7d, 30d, or ISO8601), min_severity, monitor_type (homepage, blog, docs, changelog, pricing), and review_status to list_changes instead of pulling everything. Use meta.counts for inbox totals and next_cursor to page.
  • Interpretation fields: changes and digest items expose why_it_matters for competitive context. recommended_action was removed from the API.
  • Fetch evidence on demand: only add include to get_change or get_monitor when you need the underlying capture. It adds payload.
  • Prefer pause over delete: default to status: paused when a user wants to stop a monitor. Reserve delete_* for permanent removal, since it drops history.

How it works

The server translates each tool call into a Competiflow v1 API request and returns structured JSON. Your agent sees interpreted changes, severity, and why it matters instead of raw page scrapes.

AI Agent → MCP Tool Call → Competiflow API → Interpreted Change Feed → Structured Response → AI Agent

Environment variables

VariableRequiredDescription
COMPETIFLOW_API_KEYYesYour Competiflow API key (sk_live_...)

Get an API key

Sign up at competiflow.com and create a key under API keys.

Development

npm install

npm run build COMPETIFLOW_API_KEY=sk_live_... node dist/index.js

npm test builds and runs a smoke test that starts the server without a key, the way directory scanners do, and checks the tools, annotations, prompts, and resources.

License

MIT

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