PostHog MCP Server
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
作者提供的说明(英文原文)
Competitive intelligence for agents: competitor teardowns, pricing, ads, reviews and momentum.
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。
选择你使用的 AI 应用,然后复制设置。
通过 3/3 项检查 · 在你的电脑上运行
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,但需要先准备
需要 Rivalize 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
SettingsDeveloperEdit Config
{
"mcpServers": {
"rivalize": {
"command": "npx",
"args": [
"-y",
"@rivalize/mcp"
],
"env": {
"RIVALIZE_API_KEY": "your-value",
"RIVALIZE_API_URL": "your-value",
"RIVALIZE_MCP_ALLOW_WRITES": "your-value"
}
}
}
}只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 Rivalize 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 Rivalize,或回答中出现 Rivalize 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
ChatGPT 暂时无法连接 Rivalize
Rivalize 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
A · 使用能连接 Rivalize 的应用
B · 营销与社交媒体 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
可连接 Claude Code,但需要先准备
需要 Rivalize 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Node.js(只需一次)
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add rivalize --env RIVALIZE_API_KEY=your-value --env RIVALIZE_API_URL=your-value --env RIVALIZE_MCP_ALLOW_WRITES=your-value -- npx -y @rivalize/mcp按 Enter 前,把“your-value”改成你的密钥
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
应能看到 Rivalize 在列表中并显示已连接
用 Rivalize 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 Rivalize,或回答中出现 Rivalize 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,但需要先准备
需要 Rivalize 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Node.js(只需一次)
在 Rivalize 的设置中,RIVALIZE_API_KEY, RIVALIZE_API_URL, RIVALIZE_MCP_ALLOW_WRITES 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 Rivalize 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 Rivalize,或回答中出现 Rivalize 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,但需要先准备
需要 Rivalize 的密钥(在开发者网站注册,可能收费) · 需要先在电脑上安装 Node.js(只需一次)
在 Rivalize 的设置中,RIVALIZE_API_KEY, RIVALIZE_API_URL, RIVALIZE_MCP_ALLOW_WRITES 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 Rivalize 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 Rivalize,或回答中出现 Rivalize 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
Claude Code
claude mcp add rivalize --env RIVALIZE_API_KEY=your-value --env RIVALIZE_API_URL=your-value --env RIVALIZE_MCP_ALLOW_WRITES=your-value -- npx -y @rivalize/mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"rivalize": {
"command": "npx",
"args": [
"-y",
"@rivalize/mcp"
],
"env": {
"RIVALIZE_API_KEY": "your-value",
"RIVALIZE_API_URL": "your-value",
"RIVALIZE_MCP_ALLOW_WRITES": "your-value"
}
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"rivalize": {
"command": "npx",
"args": [
"-y",
"@rivalize/mcp"
],
"env": {
"RIVALIZE_API_KEY": "your-value",
"RIVALIZE_API_URL": "your-value",
"RIVALIZE_MCP_ALLOW_WRITES": "your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"rivalize": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@rivalize/mcp"
],
"env": {
"RIVALIZE_API_KEY": "your-value",
"RIVALIZE_API_URL": "your-value",
"RIVALIZE_MCP_ALLOW_WRITES": "your-value"
}
}
}
}RIVALIZE_API_KEY 机密 必填 envRIVALIZE_API_URL envRIVALIZE_MCP_ALLOW_WRITES env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。
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。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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。
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12日
注册名称已通过域名 rivalize.ai 验证(注册中心会核实域名所有权)
代码最后更新于11天前
使用 MIT
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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。
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。
你需要填写:RIVALIZE_API_KEY
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)。
GitHub 仓库最后更新于11天前,最新版本(0.3.2)于32天前进入注册中心。
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。
同一分类中有:PostHog MCP Server, Openshorts, Google Ads + Meta Ads + SEO/GEO MCP
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
Official PostHog MCP Server for product analytics, feature flags, experiments, and more.
Turn long videos into viral vertical shorts and publish them to TikTok, Instagram and YouTube.
Google Ads, Meta Ads, Google Analytics (GA4) & Search Console MCP server by Ryze AI
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。
@rivalize/mcp)Give Claude, Cursor, Cline, or your own agent cited competitor intelligence as JSON, over the Model Context Protocol.
The Agent plan ($70 a year or $9 a month): API and MCP only, for your own AI. Rivalize collects; your own Claude, Cursor or agent does the thinking. No dashboard and no AI analysis, so it costs a few dollars.
list_universe_companies, get_universe_company)Get the Agent plan at rivalize.ai/pricing. Developer and API documentation: rivalize.ai/developers.
This server connects Claude, Cursor or any other MCP client to Rivalize. Your assistant can tear down a competitor's positioning, pricing, ads, social presence, reviews, hiring and momentum in one call, search the Rivalize universe of tracked companies, and read the projects, reports, battlecards, timelines and evidence in your own Rivalize account. Every answer comes from data Rivalize has collected, with dates and sources, rather than from a model's memory.
The server is read-only by default. Three write tools, add_competitor, run_report and set_agent_competitor, are available when you opt in with RIVALIZE_MCP_ALLOW_WRITES=1. run_report starts a real report that uses your credits, so it asks you to preview first and confirm.
Requires Node.js 22 or newer (node --version).
rk_live_. A key from any plan works, including the free plan, which gets rate-limited reads.Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows), then restart Claude Desktop:
{
"mcpServers": { "rivalize": { "command": "npx", "args": ["-y", "@rivalize/mcp"], "env": { "RIVALIZE_API_KEY": "rk_live_..." } } } }
claude mcp add rivalize -e RIVALIZE_API_KEY=rk_live_... -- npx -y @rivalize/mcp
Add to .cursor/mcp.json in your project, or ~/.cursor/mcp.json for all projects:
{
"mcpServers": { "rivalize": { "command": "npx", "args": ["-y", "@rivalize/mcp"], "env": { "RIVALIZE_API_KEY": "rk_live_..." } } } }
In Cline, open the MCP Servers panel, choose Configure, then Configure MCP Servers. This opens cline_mcp_settings.json. Add:
{
"mcpServers": { "rivalize": { "command": "npx", "args": ["-y", "@rivalize/mcp"], "env": { "RIVALIZE_API_KEY": "rk_live_..." } } } }
Save the file. The rivalize server appears with a green dot after about 10 to 15 seconds (the first start downloads the package). On Windows, if it does not start, use "command": "cmd" and "args": ["/c", "npx", "-y", "@rivalize/mcp"].
If you ask Cline to install it for you, point it at llms-install.md.
The server speaks MCP over stdin and stdout. Configure your client to launch:
| Setting | Value |
|---|---|
| Command | npx |
| Arguments | -y @rivalize/mcp |
| Environment | RIVALIZE_API_KEY=rk_live_... |
| Transport | stdio |
On Windows, some clients cannot launch npx directly because it is npx.cmd. Use cmd as the command and /c npx -y @rivalize/mcp as the arguments instead.
| Plan | Price | Competitors | What is included for MCP and API |
|---|---|---|---|
| Agent | $70/yr or $9/mo | 3 at once, refreshed every 7 days | API and MCP only, for your own AI. Everything Rivalize collects about each competitor as JSON, access to Rivalize's database of companies already collected, and 500 API and MCP calls a day (250 an hour). One competitor change per slot per calendar month. No dashboard and no AI analysis. |
| Starter | $19/mo ($190/yr) | 3 | Web dashboard, Monday briefing, cited change alerts, plus API, MCP and webhooks. |
| Growth | $79/mo ($790/yr) | 10 | Everything in Starter with broader coverage, plus recommended actions on material changes. |
| Pro | $199/mo ($1,990/yr) | 25 | Everything in Growth plus cited sales battlecards (get_battlecard) and 1-year change history. |
| Agency | $599/mo ($5,990/yr) | 50 | Unlimited client workspaces, dashboard, battlecards, webhooks, plus API and MCP. |
Prices and limits are always current at rivalize.ai/pricing.
Sixteen read-only tools are always available: fourteen for dashboard plans and two for Agent plans. The three write tools (add_competitor, run_report and set_agent_competitor) are registered only when RIVALIZE_MCP_ALLOW_WRITES is set to 1, true or yes; without it, they do not exist for the client.
| Tool | Access | What it does | Key arguments |
|---|---|---|---|
teardown_competitor | read | One-call strategy teardown of a competitor as Markdown: positioning, pricing, ads, social, reviews, hiring, momentum and weaknesses to attack, with when the data was last refreshed | domain (required) |
list_universe_companies | read | Search the Rivalize universe, the cross-customer dataset of tracked companies | q, category (slug), layer, limit (1-100), offset |
get_universe_company | read | Full universe profile for one company: identity, pricing, features, ads, social, reviews, funding and hiring, rankings, signals, momentum | domain (required), layers |
list_projects | read | The projects in your account; returns the project_id other tools take | none |
list_reports | read | Your reports, newest first. Reading never generates a report | project_id, limit (1-100), offset |
get_report | read | One report as Markdown, whole or one section or one competitor at a time | report_id (required), section, competitor, page |
list_competitors | read | The competitors you track, with momentum score, its threat-level band and, where the API provides it, each rival's standing on your Brief | project_id, limit (1-100), offset |
get_competitor_intelligence | read | Latest stored intelligence for one tracked competitor; a field is present only when it was measured | competitor_id (required) |
get_battlecard | read | Cited sales battlecard for one tracked competitor. Requires a Pro plan | competitor_id (required) |
get_strategic_timeline | read | Evidence-linked timeline of competitor moves across pricing, product, people, funding and content/social | project_id (required), days (30, 90, 180), competitor_id, lanes, format, page |
get_competitive_landscape | read | Current or stored weekly positions of competitors by activity and strategic importance | project_id (required), week (YYYY-MM-DD), format, page |
get_freshness | read | When each tracked competitor in a project was last actually observed, and how | project_id (required) |
get_evidence | read | The sources behind the facts for your product or one competitor: URL, what it supports, and when it was read | project_id (required), competitor_id |
add_competitor | write, opt-in | Add competitor URLs to a project. Spends credits and queues analysis | project_id (required), urls (1-10, required) |
run_report | write, opt-in | Starts a real report that uses your credits (paid dashboard plans; about 10 to 20 minutes). Two steps: without confirm it starts nothing and returns a preview (depth, the project's competitors, the credits it will use, credits and monthly reports left, expected time). With confirm: true it starts the run. depth is full (15 credits per 5 competitors, uses a monthly report) or quick (1 credit per competitor). At most 3 runs a day through the API or MCP per account, and the same request within 10 minutes returns the run already started | project_id (required), depth, confirm |
get_report_status | read | Whether a report started with run_report has finished (processing, completed, no_competitors, no_rivals), and the next call. Poll no more often than every 30 seconds | report_id (required) |
list_agent_competitors | read | Agent plans. The 3 tracked-competitor slots: who is tracked, when each was last collected, when it refreshes next (every 7 days), and how many slot changes are left this calendar month | none |
get_agent_competitor | read | Agent plans. The raw data collected about one tracked competitor, by group (core, ads_seo, extended), each module with its source and collected_at. A group your plan does not include is listed under not_in_plan. Your own assistant does the analysis | competitor_id (the domain, required), group |
set_agent_competitor | write, opt-in | Agent plans. Put a competitor in a slot, or replace the one in a slot (slot 0-2). Uses no credits and queues a collection. Each slot can be replaced once per calendar month (the refusal gives the reset date); a fourth competitor at once is refused | url (required), name, slot |
Agent plans cannot run work that needs a model (battlecards, teardown prose, reports): the API refuses those calls with an agent_* code and the tool shows you the API's sentence unchanged. run_report and the dashboard reads are for dashboard plans; the Free and Agent plans are refused by the API with PLAN_REQUIRED or agent_model_work_not_in_plan.
project_id and competitor_id are UUIDs from list_projects and list_competitors. Tools that read your account only ever see your own data.
get_report takes a section so your assistant can read the part a question needs instead of the whole report:
| Section | Contains |
|---|---|
tldr, biggest-threat, blind-spots, actions | The report's headline sections (actions is what your product should do) |
battlecards | The cited sales battlecards |
competitors | Every competitor's section in full |
pricing, momentum, app-store, strengths, weaknesses, key-findings, creators, ads, tech-stack | One topic gathered from every competitor's section |
A report has only the sections it has data for; asking for any other name returns an error that lists the sections it does have. section combines with competitor, so section: "pricing" with competitor: "Acme" returns Acme's pricing. A figure the report's fabrication check could not match to a source is kept and marked (not confirmed in the pages read); a name or citation the check found to belong to another entity is taken out with its sentence, exactly as in the report.
Every response stays under 25,000 characters, and nothing is cut silently:
get_report, get_strategic_timeline, get_competitive_landscape) is split into pages at section boundaries. Each page starts with Page N of M, how much remains, and the exact call for the next page.