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Content Moderation API

by cmondilloversion 1.0.0i★ –iRuns in the cloud
Registry nameio.github.cmondillo/content-moderation-api

Install

Overview

Description from the maker (original English)

Pay-per-call profanity/explicit-content detection for AI agents. $0.005 USDC per call, no signup.

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

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://content-moderation-api-hhy1.onrender.com/mcp

Run this in your terminal

claude mcp add --transport http content-moderation-api https://content-moderation-api-hhy1.onrender.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "content-moderation-api": {
      "url": "https://content-moderation-api-hhy1.onrender.com/mcp"
    }
  }
}

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": {
    "content-moderation-api": {
      "type": "http",
      "url": "https://content-moderation-api-hhy1.onrender.com/mcp"
    }
  }
}

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://content-moderation-api-hhy1.onrender.com/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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account cmondillo, 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 Otheri

  • More stars than 0% of the other 32558 servers in this category
  • Published to the registry more recently than 30% of the other 32558 servers in this category
  • Basic checks equal to or better than 100% of the other 32558 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 Content Moderation API 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?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) 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: Spec Driven Development, Remote Desktop Commander, FactLot

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

FactLot

by 9mp96ygnbk-alt

Cited CRE facts and deterministic calculators for agents: rent, CAM, debt sizing, IRR, parcel IDs.

Computer or cloudUpdated today
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.

tools

A portfolio of small, single-purpose paid services sold directly to AI agents — no human checkout flow, no dashboard login, no subscription. An agent calls the API, gets an HTTP 402 Payment Required quote, pays a few cents in USDC, and gets its answer. Fully automatic on both sides.

Each service lives in its own self-contained folder under projects/ and follows the same pattern:

  • One narrow problem, solved well. No platforms, no suites — a single job an agent needs done.
  • [x402](https://www.x402.org/) for payment. HTTP-native, stablecoin micropayments, no merchant account or KYC required on the seller side — just a wallet address. This is the emerging standard for agent-to-API payments (backed by Coinbase, adopted by AWS Bedrock AgentCore, Cloudflare, and others as of 2026).
  • Discoverable by agents, not just humans — each API declares an x402 Bazaar discovery schema so agents can find and call it without a human ever reading the docs.
  • A sample automation client included with every project, showing an agent discovering, paying for, and consuming the service end-to-end.
  • Where it adds real reach, also sold as an MCP tool (api/app/mcp_server.py) — the same product, the same price, a second interface for coding agents that discover tools over MCP rather than raw HTTP.

Projects

ProjectWhat it sellsStatus
link-preview-apiPay-per-call URL metadata (Open Graph/title/description/image) extractionLive on Base mainnet, earning real USDC: https://link-preview-api-z4nf.onrender.com
content-moderation-apiPay-per-call profanity/explicit-content detection with redaction, sold over both HTTP and MCPLive on Base mainnet, earning real USDC: https://content-moderation-api-hhy1.onrender.com
link-preview-cache-apiSame product as link-preview-api, ~⅓ the price — backed by a shared cache. First instance of a general "x402 cache" patternLive on Base mainnet, earning real USDC: https://link-preview-cache-api.onrender.com

Repo conventions

  • Every project is fully self-contained in projects/ /: its own code, tests, Dockerfile, deploy config, and README. Nothing product-specific is shared between projects.
  • Every project ships with:
  • api/ — the paid service itself
  • automation-client/ — a sample agent that pays for and consumes it
  • deploy/ — ready-to-use deploy configs (Render/Fly/etc.)
  • README.md — the business case, architecture, and exact steps to take it from "runs on my machine" to "earning money"
  • LISTING.md — the marketplace/directory listing copy, ready to publish
  • New projects get added the same way: a clean new folder, same skeleton, linked in the table above.
  • One deliberate exception to "nothing shared": scripts/ holds portfolio-level *publishing* tooling — not product code, reused across every project the same way (e.g. submitting a new tool to x402-list.com's API). See PUBLISHING.md for the full playbook: what's genuinely automatic, what's scripted, and what stays a deliberate manual step and why.
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