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Transcodely

by transcodelyversion 1.1.0i★ –iRuns in the cloud
Registry namecom.transcodely/mcp

Install

Overview

Description from the maker (original English)

Transcode, host and caption video from a prompt. Fifteen tools, nine read-only, nothing deletes.

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.transcodely.com/mcp

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "transcodely": {
      "url": "https://mcp.transcodely.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": {
    "transcodely": {
      "type": "http",
      "url": "https://mcp.transcodely.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.transcodely.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 transcodely.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 34% 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 Transcodely 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 (1.1.0) 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: 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

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.

Transcodely MCP Server

A video pipeline for AI agents, over the [Model Context Protocol](https://modelcontextprotocol.io) — with nothing on it that can delete your work.

Hand your agent a video URL and it comes back a playable link: transcoded into an ABR ladder, hosted, captioned if you ask. Then let it read back what it actually produced, what it cost, and why an upload did not become a job. No delete, no cancel, no key material. Connect with one OAuth click — no API key to create or paste.

  • Server URL (streamable HTTP): https://mcp.transcodely.com/mcp
  • Product page: https://www.transcodely.com/mcp
  • Connect guide: https://www.transcodely.com/docs/guides/mcp
  • Registry identifier: com.transcodely/mcp

This is the public home of the hosted server: connect instructions, the tool surface, and the registry manifest. The server itself is a hosted service — there is nothing to install or run.

Connect

Claude Code

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

Then run /mcp inside Claude Code and pick Authenticate — your browser opens, you approve, and the tools are live. No Transcodely account yet? One is created for you during authorization.

claude.ai / Claude desktop — Settings → Connectors → Add custom connector → https://mcp.transcodely.com/mcp.

Cursor — add to ~/.cursor/mcp.json:

{

"mcpServers": { "transcodely": { "type": "http", "url": "https://mcp.transcodely.com/mcp" } } }

Any other client that supports remote MCP servers over streamable HTTP works the same way. For headless use (CI, server-side agents), attach a Transcodely API key as a bearer token instead — see the connect guide.

Tools (20)

Twenty tools: twelve only read, six create something — five of those start work you are billed for, and saving a preset is free — and two overwrite a setting that only affects work created after it. No tool on this surface deletes, cancels, removes or rotates anything.

ToolEffectWhat it does
create_jobcreates work · billableCreate a transcoding job.
create_presetcreates · freeCreate a custom encoding preset for this app: a named, reusable bundle of encoding settings that create_job can reference by slug.
create_video_from_urlcreates work · billableIngest a remote https:// video and host it in one call — this is the tool for "transcode and host this, give me a link".
generate_captionscreates work · billableGenerate AI captions (subtitles) for a hosted video by id (vid_...).
generate_highlightscreates work · billableCut short highlight clips (MP4) from a hosted video by id (vid_...) around the quotable moments its ready AI insights picked.
generate_insightscreates work · billableGenerate AI insights (title suggestions, summary, key points, chapters, questions, key terms, quotable highlights, topics) for a hosted video by id (vid_...) from its existing AI captions; nothing is re-transcribed.
get_ingest_rulereadFetch one ingest rule by id (ing_...): its origin, enabled state, filters, the job it submits, and its event/job counts.
get_job_statusreadGet a concise status snapshot for a transcoding job by id (job_...): overall status and progress, any error code/message, and per-output status/progress with errors.
get_output_reportreadGet the full measurement report for one job output (job_... plus out_...): what the produced file turned out to BE, measured from the written file, and the verdict of comparing that against what the job asked for.
get_pricingreadReturn the prices this app pays, in EUR: every chargeable item (encoding per codec, the resolution, quality and feature multipliers, the captions, insights and processing fees, hosting storage and delivery) with its rate and unit, custom: true where this account has a custom rate, and the public list price beside it.
get_seo_markupreadGet ready-to-paste SEO markup for showing a hosted video (vid_..., ready, public or unlisted) on your own web page at watch_url: schema.org VideoObject JSON-LD (with chapter key moments when the video has insights), a video sitemap entry, and an escaped HTML fragment with the summary, chapter links and full transcript. watch_url is only embedded in the output, never fetched.
get_transcriptreadGet the transcript of a hosted video (vid_...) produced by its AI captions, as txt (plain text, the default), md (Markdown with timestamp links) or json (paragraphs, sentences and words with timings).
get_usagereadReturn hosting usage and cost for a billing month: videos encoded, encoding minutes, average storage, egress, request counts, and per-line and total cost in EUR.
get_videoreadFetch a hosted video by id (vid_...): status, visibility, title, duration, poster image, encoded renditions (resolution, codec, bitrate, dimensions), and — once status is "ready" — a playback block.
list_ingest_eventsreadList the storage deliveries this app's ingest rules received, newest first, with what became of each: the bucket and object key, the outcome (received, matched, created, skipped or failed), the REASON for a skip or failure, and the job id when one was created.
list_ingest_rulesreadList this app's ingest rules: the standing instructions that turn an object landing in a storage origin into a transcoding job.
list_jobsreadList transcoding jobs for the authenticated app, newest first.
list_presetsreadList the encoding presets available to this app: the read-only ones the platform ships and the app's own custom ones.
set_spend_limitoverwrites a settingSet or clear this app's monthly transcoding spend limit, in EUR.
update_presetoverwrites a settingUpdate a custom preset's settings by id (pst_...).

*Generated from tools.json by npm run readme:gen — do not edit by hand. Read-only: 12. Writing: 8. Billable: 5.*

What the surface cannot do

The promise is narrow and literal, and it is checked rather than asserted: test/vendored.mjs re-derives it from tools.json on every CI run and fails if a future release adds a tool whose name begins with delete, cancel, remove, purge, rotate or destroy.

  • Nothing is deleted or cancelled. No tool removes a video, a job, an output, a preset or a rule, and none stops work that is already queued or running. An agent that decides mid-task to "clean up" has no instrument for it.
  • Nothing reads key or secret material. There is no tool for API keys, and the ingest tools deliberately withhold even the prefix-and-last-four hint the REST API exposes: a rule's inbound secret is shown once, at creation, and never by this server. A tool result lands in an agent transcript, so anything a transcript should not carry is not on the surface at all.
  • Nothing reaches your organization. Members, plans, invoices, team settings and the admin surface have no tools.
  • The overwriting pair only ever reaches forward. update_preset and set_spend_limit carry destructiveHint: true, which in the protocol means "replaces a value" rather than "additive" — not that anything is removed. A preset is read and expanded when a job is *created*, so editing one never reaches a job that already exists; lowering a spend limit blocks the *next* job and never stops one in flight.

Who can change the spend limit

set_spend_limit is the only tool with an authorization rule of its own, because it is the only one that moves money policy.

  • It requires an organization owner or admin, signed in through the browser OAuth flow. That is the same membership check the REST API applies, plus one rule REST does not have.
  • API-key sessions are refused outright — including the stdio bridge below, which authenticates with ak_…. The refusal says so in words rather than failing as a generic permission error. This surface is deliberately stricter than REST here: over REST, a key can manage its own app's limit.
  • It reads the limit back instead of echoing what it was given: a limit set above a plan or platform ceiling stores fine and changes nothing, because the lower ceiling still binds. The result carries the previous and the new *effective* limit and the rung it comes from.

Auth and guardrails

  • OAuth 2.1 with PKCE via browser consent; the server implements RFC 9728 Protected Resource Metadata and RFC 8707 resource indicators.
  • Every tool call is scoped to one Transcodely app, resolved from the session, never from a tool argument. An agent cannot widen its own scope by passing a different id: a job, video, preset or rule belonging to another app reads back as *not found* rather than as a permission error, which would confirm it exists. Connect to https://mcp.transcodely.com/mcp/app_… to pin a specific app; the bare URL resolves to your organization's oldest active app.
  • An ak_… key presented at a different app's URL is rejected outright.
  • Every call writes the same audit trail as the equivalent REST call.
  • The MCP server is free to connect. Five tools start billable work — create_job, create_video_from_url, generate_captions, generate_insights and generate_highlights — charged at the ordinary Transcodely rates. Every other tool is free to call, including the ones that write: saving a preset or setting a spend limit costs nothing. create_video_from_url deletes the original source file 7 days after the video is ready unless you pass retain_source; a retained source is billed as storage and appears on the invoice as "Retained source videos".

Try it

  1. *"Transcode and host this video and give me a link: https://www.transcodely.com/videos/bbb-30s.mp4"*
  2. *"Generate English captions for that video."*
  3. *"Generate insights for that video, then cut highlight clips from it."*
  4. *"What's the status of my last job?"*
  5. *"Did that 1080p output actually come out as 1080p h264? Show me the measured report."*
  6. *"I uploaded a file to my bucket and no job appeared — what happened?"*
  7. *"How much have I spent on video this month, and which day cost the most?"*

Run locally (stdio bridge)

Remote-capable clients should connect straight to the hosted endpoint above — that's the one-click OAuth path. For stdio-only clients, sandboxes, and headless use, this repo is also a runnable bridge that serves the same tools over stdio and forwards calls to the hosted server:

# with an API key (create one in the Transcodely dashboard):

TRANSCODELY_API_KEY=ak_... npx github:transcodely/mcp

or via Docker:

docker build -t transcodely-mcp . docker run -i --rm -e TRANSCODELY_API_KEY=ak_... transcodely-mcp

Without TRANSCODELY_API_KEY the bridge still starts and answers introspection (initialize, tools/list); tool calls return an error pointing at the two auth paths. set_spend_limit is listed but always refused over this path — see the rule above.

How tools.json is kept honest

tools.json is generated, not written: it is the byte-exact stdout of the Transcodely API's own export, go run ./cmd/mcp --dump-tools, run in a checkout of the release pinned in api-pin.json. The README table above is generated from it in turn. Two checks hold that chain:

CheckCommandRuns

| Vendored consistency — counts, annotations, the "nothing deletes" promise, manifest versions, the R

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

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