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

Convertrilo

by serkandrgnversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.serkandrgn/convertrilo

Install

Overview

Description from the maker (original English)

Create and manage Convertrilo video encoding jobs from MCP clients and agent workflows.

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": {
    "convertrilo": {
      "command": "npx",
      "args": [
        "-y",
        "@convertrilo/sdk"
      ]
    }
  }
}

Run this in your terminal

claude mcp add convertrilo -- npx -y @convertrilo/sdk

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "convertrilo": {
      "command": "npx",
      "args": [
        "-y",
        "@convertrilo/sdk"
      ]
    }
  }
}

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": {
    "convertrilo": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@convertrilo/sdk"
      ]
    }
  }
}

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 serkandrgn, 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 2182 servers in this category
  • Published to the registry more recently than 15% of the other 2182 servers in this category
  • Basic checks equal to or better than 100% of the other 2182 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 Convertrilo 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 (0.1.2) reached the registry 4 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: 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.

Convertrilo TypeScript SDK

Type-safe client for the Convertrilo API.

VMAF And Encoding Passes

When optimize: "vmaf" is requested, Convertrilo performs VMAF sampling and one optimized final encode. A supplied passes: 2 value remains accepted for backward compatibility, but the API uses and bills one effective pass.

Pricing responses expose requestedPasses and effectivePasses. New integrations should use passes: 1 with VMAF.

Install

pnpm add @convertrilo/sdk

The package currently targets modern Node.js runtimes with global fetch. If your runtime does not provide fetch, pass fetchImpl to the client.

CLI And MCP Automation

The package includes two executable automation tools:

export CONVERTRILO_API_KEY="cvr_..."

convertrilo encode https://example.com/input.mp4 \ --codec h264 \ --resolution 1080p \ --audio-policy transcode-aac \ --frame-rate-policy cap \ --scale-policy no-upscale \ --quality better \ --wait \ --json

convertrilo-mcp

Use convertrilo for scripts, CI, cron, and local operations. Use convertrilo-mcp as a stdio MCP server for agent and workflow integrations.

Run convertrilo login or convertrilo init to save an API key locally, or run convertrilo with no arguments to start the interactive encode wizard. Waiting commands show terminal progress by default and keep --json clean for scripts.

Shell completion snippets are available with:

convertrilo completion zsh

See docs/CLI-AND-MCP.md for commands, MCP client config, S3 output examples, VMAF, two-pass, status, cancel, and balance workflows.

If you want the simplest terminal walkthrough, start with docs/CLI-QUICKSTART.md.

For agent/client setup, use docs/MCP-QUICKSTART.md.

MCP registry metadata lives in server.json.

Create A Client

import { ConvertriloClient } from "@convertrilo/sdk";

const client = new ConvertriloClient({ baseUrl: "https://api.convertrilo.com", apiKey: process.env.CONVERTRILO_API_KEY, });

Use an API key for server-to-server integrations. Browser apps should call your own backend, then your backend calls Convertrilo.

Examples

The examples/ directory contains starter scripts for the main integration paths:

  • node-url-to-cdn.ts - encode a public URL and receive a signed CDN download URL
  • node-url-to-s3.ts - encode a public URL and upload the result to S3/S3-compatible storage
  • google-drive-byo-token.ts - upload output to Google Drive using a customer-owned service account
  • folder-ingest-s3.ts - queue one encode job per video in an S3 prefix
  • idempotency.ts - safely retry createJob and createJobsBulk
  • webhook-receiver-hmac.ts - verify managed webhook HMAC signatures from a Node receiver

Local SDK smoke tests use .env, but published SDK users should provide credentials through their own server environment. Do not put Convertrilo API keys or customer storage tokens in frontend code.

For a complete server-to-server walkthrough covering URL, S3, folder ingest, Google Drive service accounts, polling, and webhooks, see docs/API-INTEGRATION-GUIDE.md.

Idempotent Job Creation

Use an idempotency key when retrying create calls from your backend. Reusing the same key with the same body returns the original response instead of creating duplicate jobs.

const job = await client.createJob({

externalId: "upload-123", metadata: { customerId: "cus_123" }, codec: "h264", resolution: "1080p", fps: 30, }, { idempotencyKey: "job-upload-123", });

const batch = await client.createJobsBulk({ jobs: [ { externalId: "batch-42:clip-1", codec: "h264", resolution: "1080p", fps: 30, sourceS3: { bucket: "source", key: "clip-1.mp4" }, }, ], settings: { confirm: true }, }, { idempotencyKey: "bulk-batch-42", });

Job File Cleanup

Delete managed upload and output objects after a job reaches a terminal state:

await client.cancelJob(jobId); // required first for created, queued, or running jobs

const result = await client.deleteJobFiles(jobId); console.log(result.objectsDeleted, result.jobRetained);

The job record and billing history remain available for auditing. Active jobs return the stable job_active error until they are canceled.

Saved Encode Presets

Save reusable encode settings without storing source URLs, storage credentials, or output secrets:

const preset = await client.createEncodePreset({

name: "Default 1080p web MP4", settings: { codec: "h264", resolution: "1080p", fps: 30, preset: "standard", bitrateTier: "medium", passes: 1, policy: "fastest", container: "mp4", quality: "better", optimize: "none", vmafTarget: 93, audioPolicy: "transcode-aac", frameRatePolicy: "cap", scalePolicy: "no-upscale", }, });

const { presets } = await client.getEncodePresets();

Saved Output Destinations

Save reusable delivery targets without storing raw storage secrets in the destination itself. S3 destinations reference an encrypted saved S3 credential:

const destination = await client.createOutputDestination({

name: "Customer uploads bucket", config: { type: "s3", credentialId: "0f5a7f2b-4ff2-45d4-b76f-1f7b6e98d4d1", keyPrefix: "processed/", }, });

const { destinations } = await client.getOutputDestinations();

URL Source To CDN Output

const job = await client.onDemandEncode({

sourceUrl: "https://example.com/input.mp4", externalId: "customer-video-123", metadata: { customerId: "cus_123", workflow: "daily-compression", }, codec: "h264", resolution: "1080p", quality: "better", audioPolicy: "transcode-aac", frameRatePolicy: "cap", scalePolicy: "no-upscale", }, { idempotencyKey: "encode-customer-video-123", });

let finalStatus; while (true) { finalStatus = await client.onDemandStatus(job.jobId);

if (finalStatus.status === "success") break; if (finalStatus.status === "failed") { throw new Error(finalStatus.failureMessage || "Encoding failed"); }

await new Promise((resolve) => setTimeout(resolve, 5000)); }

console.log(finalStatus.downloadUrl); console.log(finalStatus.requestedExecution); console.log(finalStatus.effectiveExecution); console.log(finalStatus.sourceProbe?.color); console.log(finalStatus.outputProbe);

Terminal users can inspect the same report with:

convertrilo status JOB_ID --json

convertrilo wait JOB_ID --json

URL Source To S3 Output

const job = await client.onDemandEncode({

sourceUrl: "https://example.com/input.mp4", codec: "h264", resolution: "1080p", outputS3: { bucket: "customer-output-bucket", key: "encoded/input-1080p.mp4", region: "us-east-1", accessKeyId: process.env.CUSTOMER_S3_ACCESS_KEY_ID, secretAccessKey: process.env.CUSTOMER_S3_SECRET_ACCESS_KEY, }, });

console.log(job.jobId);

For S3-compatible services, pass endpoint and usually forcePathStyle: true.

URL Source To Google Drive Output

For headless API integrations, save a customer-owned Google service account once. Use a Google Shared Drive for output and add the returned service-account email as a member with permission to create files.

const credential = await client.createGoogleDriveCredential({

name: "Production Drive", serviceAccount: JSON.parse(process.env.GOOGLE_SERVICE_ACCOUNT_JSON!), });

const job = await client.onDemandEncode({ sourceUrl: "https://example.com/input.mp4", codec: "h264", resolution: "1080p", outputGoogleDrive: { folderId: "GOOGLE_DRIVE_FOLDER_ID", fileName: "input-1080p.mp4", credentialId: credential.id, }, });

console.log(job.jobId);

Dashboard Google Picker authorization is separate from SDK automation.

Folder Ingest

Queue one job per video in an S3 prefix:

const batch = await client.onDemandIngestFolder({

externalIdPrefix: "batch-2026-06-09", metadata: { customerId: "cus_123", workflow: "folder-compression", }, sourceS3: { bucket: "customer-source-bucket", prefix: "incoming/", region: "us-east-1", accessKeyId: process.env.CUSTOMER_S3_ACCESS_KEY_ID, secretAccessKey: process.env.CUSTOMER_S3_SECRET_ACCESS_KEY, }, outputDestination: "s3", outputS3: { bucket: "customer-output-bucket", prefix: "encoded/", region: "us-east-1", accessKeyId: process.env.CUSTOMER_S3_ACCESS_KEY_ID, secretAccessKey: process.env.CUSTOMER_S3_SECRET_ACCESS_KEY, }, codec: "h264", maxFiles: 25, resolution: "1080p", }, { idempotencyKey: "folder-batch-2026-06-09", });

for (const job of batch.jobs || []) { console.log(job.jobId, job.externalId, job.fileName); }

Use maxFiles to cap how many discovered videos are queued from a folder.

Queue one job per video in a Google Drive folder:

const batch = await client.onDemandIngestFolder({

sourceGoogleDrive: { folderId: "SOURCE_FOLDER_ID", credentialId: credential.id, }, outputDestination: "google-drive", outputGoogleDrive: { folderId: "OUTPUT_FOLDER_ID", credentialId: credential.id, }, codec: "h264", maxFiles: 25, resolution: "1080p", });

for (const job of batch.jobs || []) { console.log(job.jobId, job.fileName); }

Convertrilo mints short-lived Google tokens from the encrypted service-account credential when each worker starts.

Poll each returned jobId with client.onDemandStatus(jobId).

Webhook Delivery History

Managed webhooks are HMAC signed. You can test a webhook and inspect recent delivery attempts:

await client.testWebhook(webhookId);

const history = await client.getWebhookDeliveries(webhookId); for (const delivery of history.deliveries || []) { console.log(delivery.status, delivery.statusCode, delivery.event); }

Regenerate Types

The SDK types are generated from openapi.yaml.

pnpm run generate

pnpm run build

The generate script uses --default-non-nullable false so OpenAPI defaults remain optional in TypeScript request bodies.

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