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

Qencode

by Qencode-Corpversion 1.2.0i★ –iRuns in the cloud
Registry namecom.qencode/qencode

Install

Overview

Description from the maker (original English)

Video pipeline for AI agents: analyze with AI, transcode to MP4/HLS/DASH, edit, protect and deliver.

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 in the cloud
  • Transport: Streamable HTTP
  • 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 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://mcp.qencode.com/mcp

Run this in your terminal

claude mcp add --transport http qencode https://mcp.qencode.com/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "qencode": {
      "url": "https://mcp.qencode.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": {
    "qencode": {
      "type": "http",
      "url": "https://mcp.qencode.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://mcp.qencode.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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain qencode.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 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 Design, images & audioi

  • More stars than 0% of the other 2162 servers in this category
  • Published to the registry more recently than 67% of the other 2162 servers in this category
  • Basic checks equal to or better than 100% of the other 2162 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 Qencode 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 (1.2.0) reached the registry 16 days 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: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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

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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
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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
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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.

qencode-mcp

Model Context Protocol (MCP) server for the Qencode Transcoding API.

Connect any MCP-compatible AI client — Claude, Cursor, ChatGPT, Grok, Gemini — to your Qencode account and let it submit, monitor, and reason about transcoding jobs on your behalf.

Quick example

Once your client is connected (see Connect a client), ask your agent in plain English:

Transcode https://example.com/input.mp4 as an HLS ladder at 1080/720/540/360. Put it in my R2 bucket videos/demo/.

The agent picks the hls_abr recipe, fills in the per-rendition encoding params, submits via start_encode2_raw, and polls until the job is done.

Prerequisites

  • A Qencode portal account with at least one project — sign in at the portal for your environment: https://portal.qencode.com (production) or https://portal-qa.qencode.com (QA). You select the project during the OAuth consent step.
  • An MCP-compatible client (Claude, Cursor, ChatGPT, Grok, Gemini, or any custom client).

There are no API keys to copy into client config — authentication is browser-based OAuth.

How it works

The connector uses standard OAuth 2.1 — no API keys in client config. On first use, your client opens a browser, you sign in to your Qencode portal account, pick a project, and approve the requested scopes. The client stores the token; subsequent calls are silent until the token expires.

Scopes the client should request at authorize time (published via Protected Resource Metadata):

ScopePurpose
openidOIDC identity
profileDisplay name
emailAccount email
offline_accessRefresh token
transcoding:readget_job_status, list_jobs, docs tools
transcoding:writetranscode_video, start_encode2_raw

The RS enforces transcoding:read and transcoding:write on access tokens at the transport layer.

Your Qencode API keys never leave the portal. The MCP server derives a short-lived session token per request via an internal portal endpoint.

Environments

The same connector is deployed in two environments. Each has its own domains, accounts, projects, and credentials — sign in to the portal that matches the endpoint you connect to.

RoleProductionQA (testing)
MCP endpoint (connect here)https://mcp.qencode.com/mcphttps://mcp-qa.qencode.com/mcp
Portal (sign in / projects)https://portal.qencode.comhttps://portal-qa.qencode.com
Authorization serverhttps://auth.qencode.comhttps://auth-qa.qencode.com
Qencode APIhttps://api.qencode.comhttps://api-qa.qencode.com

The instructions below use the production endpoint. To test against QA, swap in the QA URL and sign in at the QA portal.

Connect a client

Endpoint: https://mcp.qencode.com/mcp — same for every client below. Sign in to your Qencode account when the browser opens and approve access.

QA (internal testing): use https://mcp-qa.qencode.com/mcp and sign in at the QA portal instead.

ClientWhere to add itMCP URL / config
Claude (chat)Message box → + → Connectors → Add connectorhttps://mcp.qencode.com/mcp
Claude CodeTerminalclaude mcp add --transport http qencode https://mcp.qencode.com/mcp
ChatGPTApps → search Qencode → Connect; or Developer Mode → Build appConnector URL: https://mcp.qencode.com/mcp
Gemini~/.gemini/settings.json → mcpServers"httpUrl": "https://mcp.qencode.com/mcp" — then /mcp auth qencode in the CLI
CursorSettings → Tools & MCP → New MCP Server (or ~/.cursor/mcp.json)"url": "https://mcp.qencode.com/mcp" — restart Cursor after saving

Cursor (mcp.json):

{

"mcpServers": { "qencode": { "url": "https://mcp.qencode.com/mcp" } } }

Gemini (settings.json):

{

"mcpServers": { "qencode": { "httpUrl": "https://mcp.qencode.com/mcp", "timeout": 30000, "trust": false } } }

Tip: sign in to portal.qencode.com in your browser before connecting — OAuth goes smoother.

What the connector exposes

Tools

Transcoding & jobs

ToolDescription
transcode_videoSubmit a job from a source URL to one or more outputs. Convenience wrapper — auto-injects encoder_version: 2 (or 1 for VMAF) when omitted.
start_encode2_rawEscape hatch — submit a job with the full query JSON exactly as the Qencode API expects.
get_job_statusOne-shot status snapshot by task_token.
get_job_status_detailedFull, authoritative job status, including per-rendition progress and output details.
list_jobsInline jobs card for the task_tokens of the current conversation — status badges, filters, expandable rows, output URLs. The card refreshes itself while any job is still running.
fetch_job_resultRead the contents of a result file produced by an analysis job (transcript, VMAF report, metadata, categorization).
wait_for_jobDeprecated. Returns immediately and points at list_jobs; kept so older conversations do not hit "tool not found".
search_qencode_docsSearch the built-in knowledge base of recipes and reference docs.
fetch_qencode_docFetch the full content of a knowledge-base resource by qencode:// URI (tool-based counterpart to resources/read).

Playback

ToolDescription
open_playerRender a playable result inline — progressive MP4/WebM or an HLS/DASH manifest. The server applies the calling host's sandbox policy, so which source origins are allowed depends on the client.
refresh_jobsThe jobs card's own silent poll. Not meant to be called directly by an agent; it backs the card's auto-refresh and Refresh button.

Media Storage

Bucket management and ingest for Qencode Media Storage. These ride the same OAuth grant as the transcoding tools — no extra scope and no re-consent.

ToolDescription
list_bucketsList the Media Storage buckets available to the account.
create_bucketCreate a new bucket. Called only on an explicit request — not to satisfy a missing destination.
list_objectsBrowse the contents of a bucket.
get_download_urlReturn a time-limited download URL for an existing object.
download_url_to_bucketServer-side copy of a public URL into a bucket (ingest, no transcoding).
Resources

The server ships a knowledge base of recipes and reference docs, exposed as MCP resources so the agent can fetch only what it needs. Notable URIs:

  • qencode://docs/best-practices — composition defaults the agent applies automatically
  • qencode://docs/storage — destination compatibility matrix (Qencode S3, R2, AWS S3, Azure, B2, FTP/SFTP)
  • qencode://docs/error-codes — error code → cause → fix
  • qencode://docs/gotchas — non-obvious API quirks
  • qencode://schema/digest — full attribute reference for start_encode2
  • qencode://recipe/ — one per feature flow: ai_detection, ai_upscaling, audio_outputs, callbacks, clip_trim, codec_av1, codec_lcevc, drm_aes128, drm_buydrm, drm_doverunner, drm_expressplay, drm_fairplay_ezdrm, drm_forensic_watermark, drm_playready_ezdrm, drm_widevine_ezdrm, hdr_to_sdr, hls_abr, incremental_abr, mp4_ladder, per_title_encoding, refresh_abr_playlist, reliability, repack, rotate_deinterlace, smart_crop, smart_thumbnail, speech_to_text, stitching, subtitles, thumbnails, video_intelligence, video_metadata, vmaf_quality, vr_360, vr_mode, watermark_logo, waveform

Use search_qencode_docs to discover the right recipe URI for a goal.

Prompts (slash commands)

In clients that surface MCP prompts, 40 one-shot templates are available. Each tells the agent to read the matching qencode://recipe/... resource and submit via start_encode2_raw.

ABR / packaging: encode_hls_abr, encode_dash_abr, encode_mp4_ladder, encode_incremental_rung, encode_refreshing_playlist, remux_repack

Codecs / quality: encode_av1, encode_lcevc, tune_per_title, check_vmaf, ai_upscale_video, convert_hdr_to_sdr

Audio / images / text: extract_audio, generate_thumbnails, generate_smart_thumbnails, generate_waveform, transcribe, add_subtitles

Editing / framing: trim_clip, rotate_video, deinterlace_video, enable_smart_crop, add_watermark, add_html_overlay

Immersive: enable_vr_mode, inject_360_metadata

Analysis: get_video_metadata, analyze_video, detect_ai_generated

Probe / stitch: stitch_videos

Production hooks: enable_callbacks, enable_reliability

DRM: encode_aes128_hls, encode_widevine_ezdrm, encode_playready_ezdrm, encode_fairplay_ezdrm, encode_drm_buydrm, encode_drm_expressplay, encode_drm_doverunner, encode_forensic_watermark

Source URL rules

transcode_video and start_encode2_raw accept source values with schemes https://, http://, s3://, or tus:. FTP/SFTP and private/metadata URLs are rejected at the tool boundary (SSRF defence). See docs/security/THREAT_MODEL.md for limitations.

Security

Authentication is OAuth 2.1 only — there is no static-API-key mode. Your Qencode API keys never leave the portal; the server derives a fresh, short-lived session token per request via an internal portal endpoint. Source URLs are validated at the tool boundary (SSRF defence — see Source URL rules).

Full threat model and adversarial test coverage: docs/security/THREAT_MODEL.md.

Development

uv venv && uv pip install -e ".[dev]"

NO_NETWORK=1 pytest -q # offline L1 + L2 + L5 (~900 tests) pytest -m protocol # MCP wire conformance only pytest -m unit # per-tool logic (FakeQencode) pytest -m security # OWASP MCP Top 10 adversarial suite

Protocol tests run fully offline (mocked Authorization Server, portal, and Qencode API). CI is the Jenkins job mcp_automated_tests (Jenkinsfile.manual): manual checkboxes for any layer, nightly L3 cron, weekly L4 cron.

Supported MCP protocol versions

Clients negotiate a version at initialize. This server targets [MCP 2025-11-25](https://modelcontextprotocol.io/specification/2025-11-25) as the primary version. CI also runs conformance tests against 2025-06-18 because JSON-RPC batching behavior differs between earlier revisions. We do not claim support for 2025-03-26 or older wire semantics beyond what the underlying SDK negotiates.

VersionSupportNotes
2025-11-25PrimaryStreamable HTTP, resumable SSE where used
2025-06-18CI matrixRegression guard for mid-2025 clients
2025-03-26Not targetedBatching semantics differ from 2025-06-18
Directory listings (Glama)

The connector users install is the hosted endpoint above. For Glama Servers / awesome-mcp-servers scoring only, this repo also ships qencode-mcp-inspect (stdio, dummy env, tools/call refused). That is not a supported client transport. See docs/glama-release.md.

More docs
  • Local server / env vars: docs/local-development.md
  • Test layers (L1–L5): docs/testing.md and tests/README.md
  • L3 against live QA / PROD: [`tests/integration/README

Only the beginning is shown; read the rest in the repo

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