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PopNx MCPMCP servers for people who use AI · explained in plain words

Prompeteer

by prompeteerversion 2.0.3i★ –iComputer or cloud
Registry nameio.github.prompeteer/prompeteer-mcp

Install

Overview

Description from the maker (original English)

Contextual prompts and agent skills for 140+ AI platforms.

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.

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • 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 …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://prompeteer.ai/mcp

Or run it on your computer

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

{
  "mcpServers": {
    "prompeteer": {
      "command": "npx",
      "args": [
        "-y",
        "@prompeteer.ai/mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add --transport http prompeteer https://prompeteer.ai/mcp

Or run it on your computer

claude mcp add prompeteer -- npx -y @prompeteer.ai/mcp-server

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "prompeteer": {
      "url": "https://prompeteer.ai/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "prompeteer": {
      "command": "npx",
      "args": [
        "-y",
        "@prompeteer.ai/mcp-server"
      ]
    }
  }
}

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": {
    "prompeteer": {
      "type": "http",
      "url": "https://prompeteer.ai/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "prompeteer": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@prompeteer.ai/mcp-server"
      ]
    }
  }
}

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.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://prompeteer.ai/mcp

Menu names can differ slightly by plan and over time.

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

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

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account prompeteer, which owns the repo

  • … 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 checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5668 servers in this category
  • Published to the registry more recently than 41% of the other 5668 servers in this category
  • Basic checks equal to or better than 100% of the other 5668 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 Prompeteer 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?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.0.3) 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. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

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.

Prompeteer MCP Server

Contextual prompts and agent skills for 140+ AI platforms.

Prompeteer generates contextual prompts and agent skills tuned to the model you are actually using, across 140+ AI platforms and 129 languages. Every prompt gets a 16-dimension Prompt Score, and skills get a Skill Score. Saved prompts live in PromptDrive and roam across platforms. Free to start.

Connect to the hosted server

SettingValue
Endpointhttps://prompeteer.ai/mcp
TransportStreamable HTTP
AuthenticationOAuth 2.1 with PKCE S256
Connection guideprompeteer.ai/connect

Use a client that supports remote MCP and OAuth discovery. Add the endpoint in its remote-server settings and complete the browser sign-in. Access depends on the account, plan, consented scopes, and client support.

For Cursor, add this entry to .cursor/mcp.json:

{

"mcpServers": { "prompeteer": { "url": "https://prompeteer.ai/mcp" } } }

Other clients have their own configuration formats. Use the connection guide for client-specific setup.

Connect through the npm stdio bridge

For clients that launch local MCP commands, use Node.js 22.14.0 or later and add:

{

"mcpServers": { "prompeteer": { "command": "npx", "args": ["-y", "@prompeteer.ai/mcp-server@2.0.3"] } } }

The command runs a stdio bridge to the same hosted Prompeteer endpoint. It uses the pinned mcp-remote 0.8.6 proxy for Streamable HTTP and OAuth. The client opens a browser for sign-in when authorization is needed. The local bridge does not run Prompeteer's generation models or product service.

The endpoint and OAuth resource are fixed to https://prompeteer.ai/mcp. The wrapper uses a loopback OAuth callback, runs without a shell, and forwards MCP messages through stdout. Connection diagnostics use stderr. It does not accept arbitrary endpoints, authentication headers, or debug flags. Native remote clients can use the direct URL without installing the bridge.

npx @prompeteer.ai/mcp-server@2.0.3

npx @prompeteer.ai/mcp-server@2.0.3 --help npx @prompeteer.ai/mcp-server@2.0.3 --json npx @prompeteer.ai/mcp-server@2.0.3 --version

--json prints the direct remote configuration for Cursor. --help and --version do not start a connection.

OAuth credentials are managed by mcp-remote, using its local ~/.mcp-auth cache by default. On POSIX systems, new credential files are written with mode 0600. The bridge does not add its own token store. The package includes the tested proxy runtime and the patched query parser used by its callback server. Client installation does not resolve a different proxy dependency tree.

Capabilities

Tool familyExamples
Prompt and skill generationgenerate_prompt, generate_skill
Prompt Scorescore_prompt
PromptDrivelist_prompts, get_prompt, save_to_promptdrive
Private Memorylist_memory_sources, search_memory, get_memory_page, ask_memory, get_memory_settings, update_memory_settings

Skills receive a Skill Score as part of the skill workflow; score_skill is not a separate advertised MCP tool. Discover the current tool schemas through the authenticated server. Generation, scoring, writes, and private Memory operations may require additional scopes or consume plan allowances.

Example: “Generate a prompt for a product launch email in Claude. Show its Prompt Score, then save the approved version to PromptDrive.”

Authentication

The server advertises OAuth metadata and requests the scopes needed for authorized work. Keep credentials in the MCP client's managed authentication flow.

ScopePurpose
mcp:readRead prompts and vault metadata
mcp:writeSave prompts
mcp:generateGenerate prompts and skills
memory:readRead private Memory
memory:writeUpdate Memory settings

OAuth metadata and protected resource metadata are publicly discoverable. An unauthenticated MCP request returns HTTP 401 until you sign in.

Pricing and public facts

Free to start. See current plans and allowances.

Prompeteer reports 12,000+ users across 160 countries and supports 129 languages. These company facts were approved for publication in September 2026.

Registry and source

The official MCP registry lists the server as io.github.prompeteer/prompeteer-mcp. This is separate from first-party connector directories.

server.json describes both the npm stdio bridge and the hosted Streamable HTTP endpoint. Its registry description uses the canonical tagline because the registry limits descriptions to 100 characters. The full description is preserved in publisher metadata. .mcp/server.json is an identical compatibility copy.

Version 2.0.3 adds a working stdio bridge and corrects stale setup instructions. Earlier npm 2.0.0 printed setup instructions and exited, even though registry versions 2.0.0 through 2.0.2 advertised it as a stdio transport. The hosted endpoint remains https://prompeteer.ai/mcp.

Repository manifests for Cursor and Gemini CLI

plugin.json and mcp.json provide the portable Agent Plugins format supported by Cursor. After installing the plugin through Cursor, connect Prompeteer and complete browser sign-in. The direct Cursor configuration above also works as a manual setup format. Generated skills are returned as content; connecting does not run or install a generated skill.

gemini-extension.json provides a Gemini CLI extension using the hosted HTTP endpoint and OAuth discovery. Once the manifest is available in the public repository, install with:

gemini extensions install https://github.com/prompeteer/prompeteer-mcp

Restart Gemini CLI and complete the Prompeteer connection when prompted. Generation and scoring can consume account quota; requested saves write to your PromptDrive.

These manifests have been structurally validated. Installation and OAuth in the actual Cursor and Gemini CLI applications have not been tested for this release. Their presence does not establish a marketplace listing or platform approval. See the Cursor plugin documentation and Gemini extension reference.

Plugin source for Claude Code, Cowork and Grok Build

.claude-plugin/plugin.json supplies plugin metadata and .mcp.json connects the client directly to https://prompeteer.ai/mcp over HTTP. This plugin contains one remote MCP connection. It adds no local command, hook, skill, agent, or shell execution. It does not start the npm bridge or install its runtime dependencies.

For a local Claude Code check after cloning this repository:

claude plugin validate .

claude --plugin-dir .

Use /mcp in Claude Code to complete the Prompeteer OAuth connection. For Grok Build, the repository can be installed through a marketplace entry that pins its exact public commit. Marketplace submission, listing, and functional client testing are separate outcomes; these source files alone do not establish any of them.

Network access and account permissions

The client contacts https://prompeteer.ai/mcp and Prompeteer's OAuth discovery, registration, authorization and token endpoints on https://prompeteer.ai. Prompeteer sign-in may redirect to the identity provider selected by the user. Credentials remain in the client's supported OAuth flow; the plugin contains no tokens, API keys or environment-variable readers.

A Prompeteer account is required. Tool availability depends on the authenticated account, approved scopes and plan allowances. PromptDrive tools read or save account records; Memory tools access the user's Prompeteer Memory when enabled and authorized. Memory refers to Prompeteer's stored sources, not the host assistant's memory or conversation history. Generation and scoring can consume quota, and successful generation automatically saves its result to PromptDrive as part of the service workflow. The actual returned savedToVault and promptId fields indicate the persistence outcome. Generated skills are returned as content; this plugin does not execute them.

Privacy policy

Tool inputs and any requested saved-content or Memory results are processed by the Prompeteer service and returned to the connected client. Prompeteer's backend may use AI providers to carry out generation or scoring. See the published privacy policy for service data practices, terms, and plans. Contact info@prompeteer.com for support or privacy questions. Disconnect the MCP connection in the client when it is no longer needed.

Build and verify from source

Use Node.js 22.14.0 or later. The source lock pins the maintained proxy and its dependencies. Build copies those unmodified runtime files, with their licenses, into the release package.

npm ci --ignore-scripts

npm run build npm run check npm test npm audit npm pack --dry-run --json --ignore-scripts

The explicit build uses mcp-remote 0.8.6 and patched qs 6.16.0. Tests run protocol forwarding and startup-disconnect checks against local fixtures; they do not generate prompts or make paid service calls. The vendor/ build output is included in npm releases and is not committed to this repository.

Support and license

The bridge wrapper and documentation in this repository are MIT licensed. The hosted Prompeteer platform is proprietary.

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