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

Clipquery

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/clipquery

Install

Overview

Description from the maker (original English)

Search your processed video library in natural language and get matching segments back.

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: Design, images & audio

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).
  • The registry lists no key to fill in.

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": {
    "clipquery": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/clipquery",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add clipquery -- npx -y @reneturcios/clipquery mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "clipquery": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/clipquery",
        "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": {
    "clipquery": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/clipquery",
        "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.

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.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 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 Design, images & audioi

  • More stars than 0% of the other 2165 servers in this category
  • Published to the registry more recently than 89% of the other 2165 servers in this category
  • Basic checks equal to or better than 100% of the other 2165 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 Clipquery 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 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 (0.1.0) reached the registry 4 days 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, Docker on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

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

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 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.

clipquery

Search a personal video library with natural language. Videos processed by the Flashback system are split into ~30-second segments, analysed for visual content, transcribed, and embedded; a query is matched semantically against those segments, and each result comes back with an AI-generated description, a relevance score (0–1), a direct URL to view the segment, and the time that URL expires. Presigned URLs expire after 1 hour — run the query again for fresh ones.

Configuration

Two environment variables are required for query_videos:

  • FLASHBACK_USER_ID — your unique Flashback account identifier (e.g. 4087fce3-3d86-4047-b35f-4004b4c19192)
  • FLASHBACK_API_BASE_URL — the base URL of the Flashback video processing API. The upstream publishes no default, so this must be set; a missing value is an error naming the variable, raised before any request.

get_setup_instructions is local and needs no configuration.

CLI

npx @reneturcios/clipquery query "person talking" --max-results 5

npx @reneturcios/clipquery query "meeting discussion about deadlines" npx @reneturcios/clipquery setup npx @reneturcios/clipquery --version

Exit codes: 0 on success, 1 on a runtime error (including missing configuration), 2 on a usage error.

MCP server

npx -y @reneturcios/clipquery mcp

MCP client config:

{

"mcpServers": { "clipquery": { "command": "npx", "args": ["-y", "@reneturcios/clipquery", "mcp"], "env": { "FLASHBACK_USER_ID": "your-flashback-user-id", "FLASHBACK_API_BASE_URL": "https://your-flashback-api-host" } } } }

Tools
  • query_videos — Search for video clips based on natural language query. query (string, required) — natural language description of what you're looking for; max_results (integer, optional, default 10) — maximum number of results to return (1–15).
  • get_setup_instructions — Get detailed setup instructions for the video query system. No parameters.

The server also mirrors the upstream's documented resource URI concept in its guide text only; no MCP resources are served.

Docker

docker run -i -e FLASHBACK_USER_ID -e FLASHBACK_API_BASE_URL ghcr.io/cloudcorprecords/clipquery

docker run --rm ghcr.io/cloudcorprecords/clipquery setup

Development

npm install

npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake fetch only, no network) npm run dev # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios

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