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Pagerankcafe MCP

by PageRankCafeversion 0.1.3i★ –iRuns on your computer
Registry namecom.pagerankcafe/mcp-server

Install

Overview

Description from the maker (original English)

PageRankCafe MCP server: create and post ads, read performance, query platform insights.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Marketing & social media
  • You need to fill in: PAGERANKCAFE_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: PAGERANKCAFE_API_KEY, PAGERANKCAFE_BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "pagerankcafe": {
      "command": "npx",
      "args": [
        "-y",
        "pagerankcafe-mcp"
      ],
      "env": {
        "PAGERANKCAFE_API_KEY": "your-value",
        "PAGERANKCAFE_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add pagerankcafe --env PAGERANKCAFE_API_KEY=your-value --env PAGERANKCAFE_BASE_URL=your-value -- npx -y pagerankcafe-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "pagerankcafe": {
      "command": "npx",
      "args": [
        "-y",
        "pagerankcafe-mcp"
      ],
      "env": {
        "PAGERANKCAFE_API_KEY": "your-value",
        "PAGERANKCAFE_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "pagerankcafe": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "pagerankcafe-mcp"
      ],
      "env": {
        "PAGERANKCAFE_API_KEY": "your-value",
        "PAGERANKCAFE_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • PAGERANKCAFE_API_KEY secret required env
    Your PageRankCafe API key, generated at https://pagerankcafe.com/apiKeys after creating an account at https://pagerankcafe.com.
  • PAGERANKCAFE_BASE_URL env
    API base URL. Override only for testing against a non-production environment.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain pagerankcafe.com (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Marketing & social mediai

  • More stars than 0% of the other 2970 servers in this category
  • Published to the registry more recently than 32% of the other 2970 servers in this category
  • Basic checks equal to or better than 100% of the other 2970 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Pagerankcafe MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: PAGERANKCAFE_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.3) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

pagerankcafe-mcp

The marketing platform for your AI agents.

An MCP (Model Context Protocol) server for the PageRankCafe API. It gives an AI agent tools to read and post link ads, banner ads, YouTube video ads, and press releases/blog articles on PageRankCafe, check credit and referral balances, read per-placement performance, and (on paid tiers) pull platform-wide ad performance insights.

Getting a key

  1. Create a PageRankCafe account at https://pagerankcafe.com.
  2. Upgrade to a paid membership (Bronze/Silver/Gold) at https://pagerankcafe.com/membership-info if you want to use the write and insights tools. Read tools work on a free account too.
  3. Generate an API key at https://pagerankcafe.com/apiKeys.

Account creation and key generation are both manual, human steps on the website — there is no programmatic signup.

Configuration

The server reads its configuration from environment variables:

VariableRequiredDefaultDescription
PAGERANKCAFE_API_KEYYes—Your API key from /apiKeys. The server exits immediately with an error if this is not set.
PAGERANKCAFE_BASE_URLNohttps://pagerankcafe.comAPI base URL. Override only for testing against a non-production environment.

Install

Claude Desktop

Add to your claude_desktop_config.json:

{

"mcpServers": { "pagerankcafe": { "command": "npx", "args": ["-y", "pagerankcafe-mcp"], "env": { "PAGERANKCAFE_API_KEY": "your-api-key-here" } } } }

Claude Code
claude mcp add pagerankcafe --env PAGERANKCAFE_API_KEY=your-api-key-here -- npx -y pagerankcafe-mcp
Cursor

Add to your Cursor MCP settings (~/.cursor/mcp.json or the project's .cursor/mcp.json):

{

"mcpServers": { "pagerankcafe": { "command": "npx", "args": ["-y", "pagerankcafe-mcp"], "env": { "PAGERANKCAFE_API_KEY": "your-api-key-here" } } } }

Tools

Every write tool and the insights tool require a paid membership (Bronze/Silver/Gold); the API returns an error for free accounts. Read tools work on any valid key, including free accounts.

ToolMembershipDescription
healthFreeChecks API connectivity and returns the authenticated user's username and membership status.
list_linksFreeLists your active link ads.
list_bannersFreeLists your active banner ads.
list_youtube_adsFreeLists your active YouTube video ads.
list_press_releasesFreeLists your active press releases / blog articles.
get_creditsFreeReturns your credit balance, available post slots, links viewed, and links remaining.
get_referral_statsFreeReturns your referral counts (today, 7 day, 30 day, all time).
list_postsFreeReturns per-placement performance for link, banner, YouTube, or press-release ads.
upload_imagePaidUploads an image (local file path or base64) and returns a hosted HTTPS URL.
create_bannerPaidCreates a new banner ad.
post_bannerPaidPosts an existing banner into rotation using credits.
create_youtube_adPaidCreates a new YouTube video ad.
update_youtube_adPaidPartially updates an existing YouTube ad you own.
create_press_releasePaidCreates a new press release / blog article.
update_press_releasePaidPartially updates an existing press release you own.
post_press_releasePaidPosts an existing press release to the home-page widget using credits.
create_linkPaidCreates a new link ad.
post_linkPaidPosts an existing link ad into rotation using credits (free/credit posts only: ad_days must be 0; view_time/view_credits are derived server-side from icon/bold/double_time, not accepted as input). Returns status: "active" when the post goes live immediately, or status: "pending" (with an explanatory message) when the posting user needs approval first.
get_platform_insightsPaidTrailing-30-day platform performance aggregates by ad type and option, plus current prices.

Full request/response detail for each underlying endpoint is in the OpenAPI spec at https://pagerankcafe.com/api/spec (rendered at https://pagerankcafe.com/api/docs).

Error handling

Every tool returns the API's JSON response as the tool result on success. On a non-2xx API response, the tool returns an MCP tool error (isError: true) carrying the API's error message. There are no retries and no silent fallbacks — a failed call always surfaces as a failed tool call.

Development

npm install

npm run build # compiles src/ to dist/ with tsc npm test # builds, then runs the stdio smoke test (no network required)

The test starts the built server as a subprocess over stdio (using StdioClientTransport from @modelcontextprotocol/sdk), lists its tools, and checks the full tool list is present — no real API key or network access is used.

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