Transcodely MCP server
Commit 2 Nov 2026Memungkinkan AI agent untuk melakukan transcode, hosting, dan captioning video dari URL atau prompt, sekaligus memberikan insight dan highlight yang dihasilkan oleh AI.
Juga dikenal sebagai transcodely/mcp, mcp
- Stars
- 0
- Tools
- 20
- Unduhan, 30 hari
- —
- Versi terbaru
- 1.1.0
- Commit terakhir
- 2 Nov 2026
- Lisensi
- MIT
Apa itu Transcodely MCP?
Transcodely adalah MCP server. Memungkinkan AI agent untuk melakukan transcode, hosting, dan captioning video dari URL atau prompt, sekaligus memberikan insight dan highlight yang dihasilkan oleh AI. Server ini menyediakan 20 tool, seperti create_job, create_preset, create_video_from_url.
Ringkasan dibuat dari README proyek
Tentang Transcodely MCP server
Transcodely menyediakan pipeline video khusus yang dirancang untuk AI agent guna mengelola workflow media melalui Model Context Protocol. Layanan hosted ini memungkinkan agent untuk memasukkan URL video, melakukan transcode ke adaptive bitrate ladders, menghosting file, dan menghasilkan caption. Layanan ini dibangun dengan model keamanan yang ketat di mana tidak ada tool yang dapat menghapus, membatalkan, atau menghilangkan pekerjaan yang sudah ada, memastikan bahwa agent tidak dapat secara tidak sengaja merusak aset atau menghentikan job yang sedang berjalan.
Developer dapat terhubung hanya dengan satu klik OAuth untuk autentikasi yang mudah di client seperti Claude Desktop, Cursor, atau Claude Code. Untuk lingkungan headless atau CI, server ini mendukung autentikasi melalui bearer token. Toolset yang tersedia mencakup dua puluh fungsi spesifik, seperti create_job, generate_insights, dan get_output_report, yang memungkinkan agent untuk memantau biaya, memeriksa laporan pengukuran teknis, dan mengambil SEO markup. Meskipun sebagian besar tool dapat dipanggil secara gratis, tindakan spesifik seperti menghasilkan highlight atau membuat video dari URL akan memicu pemrosesan berbayar.
Apa yang bisa Anda lakukan dengannya
- 1Automated video hostingSeorang agent dapat mengambil URL video jarak jauh dan mengubahnya menjadi link yang ter-host dan dapat diputar hanya dengan satu perintah.
- 2AI-driven content analysisAnda dapat menginstruksikan agent untuk mengekstrak ringkasan, poin penting, dan chapter dari video yang telah di-host.
- 3Automated highlight creationAgent dapat mengidentifikasi momen-momen penting yang layak dikutip dan secara otomatis memotongnya menjadi klip MP4 pendek.
- 4Technical quality verificationDeveloper dapat meminta agent untuk memverifikasi apakah file hasil transcode sudah sesuai dengan spesifikasi resolusi dan codec yang diminta.
Ditulis berdasarkan README proyek. Setiap use case diperiksa terhadap kutipan dari README tersebut.
Cara menginstal Transcodely MCP
Format diverifikasi 10 Nov 2026Instal Transcodely MCP di Claude Code
$ claude mcp add --transport http mcp https://mcp.transcodely.com/mcpInstal Transcodely MCP di Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"mcp": {
"url": "https://mcp.transcodely.com/mcp"
}
}
}Instal Transcodely MCP di VS Code
.vscode/mcp.json
{
"servers": {
"mcp": {
"type": "http",
"url": "https://mcp.transcodely.com/mcp"
}
}
}Instal Transcodely MCP di Codex
~/.codex/config.toml
[mcp_servers.mcp] url = "https://mcp.transcodely.com/mcp"
Instal Transcodely MCP di Gemini CLI
~/.gemini/settings.json
{
"mcpServers": {
"mcp": {
"httpUrl": "https://mcp.transcodely.com/mcp"
}
}
}Tool Transcodely MCP 20
Terdeteksi dari READMEcreate_jobcreate_presetcreate_video_from_urlgenerate_captionsgenerate_highlightsgenerate_insightsget_ingest_ruleget_job_statusget_output_reportget_pricingget_seo_markupget_transcript
| create_job | — | |
| create_preset | — | |
| create_video_from_url | — | |
| generate_captions | — | |
| generate_highlights | — | |
| generate_insights | — | |
| get_ingest_rule | — | |
| get_job_status | — | |
| get_output_report | — | |
| get_pricing | — | |
| get_seo_markup | — | |
| get_transcript | — |
Tampilkan semua 20 toolTampilkan lebih sedikit tool
get_usageget_videolist_ingest_eventslist_ingest_ruleslist_jobslist_presetsset_spend_limitupdate_preset
| get_usage | — | |
| get_video | — | |
| list_ingest_events | — | |
| list_ingest_rules | — | |
| list_jobs | — | |
| list_presets | — | |
| set_spend_limit | — | |
| update_preset | — |
Konfigurasi
TRANSCODELY_API_KEYTRANSCODELY_API_PATH
| Nama | Deskripsi | Tipe |
|---|---|---|
| TRANSCODELY_API_KEY | — | |
| TRANSCODELY_API_PATH | — |
Pengecekan otomatis
Berjalan 14 Nov 2026Laporan lengkap →Belum diverifikasi. Sebuah server memerlukan skor 80, tidak ada temuan serius, dan data yang cukup untuk kami periksa. Cara kerja checks
- Source repository terhubung dan dapat dijangkautranscodely/mcp is public and reachablegithub.com/transcodely/mcp ↗Lolos
- Paket menyebut repo ini sebagai sumbernyaTidak diperiksa
- Provenance build (atestasi Sigstore)Tidak diperiksa
- Lisensi open source (OSI)MITspdx.org/licenses/MIT.html ↗Lolos
- Ada commit atau release dalam satu tahun terakhirLast commit or release 2026-11-02github.com/transcodely/mcp ↗Lolos
- OpenSSF ScorecardTidak diperiksa
- Nama package tidak mirip dengan package populerTidak diperiksa
- Tidak ada advisory kritis di paket maupun dependensinyaTidak diperiksa
- Tidak ada instruksi tersembunyi untuk model20 tool descriptions and the README read; no override phrases, credential paths or hidden charactersLolos
- Tools yang bersifat destruktif telah diberi labelNo tool named like delete, drop or execLolos
- Endpoint remote menjawab handshake MCPHTTPS endpoint answered 401 (sign-in required)Lolos
README
Lihat di GitHubTranscodely MCP Server
A video pipeline for AI agents, over the Model Context Protocol — 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.
| Tool | Effect | What it does |
|---|---|---|
create_job |
creates work · billable | Create a transcoding job. |
create_preset |
creates · free | Create a custom encoding preset for this app: a named, reusable bundle of encoding settings that create_job can reference by slug. |
create_video_from_url |
creates work · billable | Ingest a remote https:// video and host it in one call — this is the tool for "transcode and host this, give me a link". |
generate_captions |
creates work · billable | Generate AI captions (subtitles) for a hosted video by id (vid_...). |
generate_highlights |
creates work · billable | Cut short highlight clips (MP4) from a hosted video by id (vid_...) around the quotable moments its ready AI insights picked. |
generate_insights |
creates work · billable | Generate 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_rule |
read | Fetch one ingest rule by id (ing_...): its origin, enabled state, filters, the job it submits, and its event/job counts. |
get_job_status |
read | Get 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_report |
read | Get 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_pricing |
read | Return 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_markup |
read | Get 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_transcript |
read | Get 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_usage |
read | Return 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_video |
read | Fetch 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_events |
read | List 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_rules |
read | List this app's ingest rules: the standing instructions that turn an object landing in a storage origin into a transcoding job. |
list_jobs |
read | List transcoding jobs for the authenticated app, newest first. |
list_presets |
read | List the encoding presets available to this app: the read-only ones the platform ships and the app's own custom ones. |
set_spend_limit |
overwrites a setting | Set or clear this app's monthly transcoding spend limit, in EUR. |
update_preset |
overwrites a setting | Update 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_presetandset_spend_limitcarrydestructiveHint: 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_insightsandgenerate_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_urldeletes the original source file 7 days after the video is ready unless you passretain_source; a retained source is billed as storage and appears on the invoice as "Retained source videos".
Try it
- "Transcode and host this video and give me a link: https://www.transcodely.com/videos/bbb-30s.mp4"
- "Generate English captions for that video."
- "Generate insights for that video, then cut highlight clips from it."
- "What's the status of my last job?"
- "Did that 1080p output actually come out as 1080p h264? Show me the measured report."
- "I uploaded a file to my bucket and no job appeared — what happened?"
- "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:
| Check | Command | Runs |
|---|---|---|
| Vendored consistency — counts, annotations, the "nothing deletes" promise, manifest versions, the README naming every tool | node test/vendored.mjs |
every push and PR |
| The bridge serves exactly the vendored surface, keyless calls guide | node test/introspect.mjs |
every push and PR |
The README table is regenerated from tools.json |
node scripts/gen-readme.mjs --check |
every push and PR |
tools.json is byte-exact with the pinned api release |
npm run tools:check |
when a token is available — see below |
To land a tool-surface change:
# 1. point api-pin.json's "ref" at the release you are vendoring
# 2. read a DETACHED WORKTREE at that tag — never the shared api checkout,
# which other sessions commit to and which sits on master
git -C ~/git/transcodely/api worktree add --detach /tmp/api-pin v5.X.0
TRANSCODELY_API_PATH=/tmp/api-pin npm run tools:sync
npm run readme:gen
git -C ~/git/transcodely/api worktree remove /tmp/api-pin
# 3. bump the version in server.json + package.json, in the same commit
npm test
Or skip step 2 entirely: with API_REPO_TOKEN set and no TRANSCODELY_API_PATH, the script
clones the pinned tag itself. That is the only mode that verifies the pin, so prefer it.
The honest limitation: transcodely/api is a private repository, so the parity job needs
a read token in API_REPO_TOKEN and cannot run on a pull request from a fork. When the token
is absent the script exits 78 and the job reports not armed rather than passing — it never
claims a parity it did not check. The always-on checks above still catch the drift that has
actually bitten here: an export that moved while the README, the manifest and the bridge kept
the old numbers.
Manifest
server.json is the manifest published to the official MCP registry. Its
version must be bumped for a republish to take effect — the registry serves the last
published version's description, so a description edit with an unchanged version is invisible.
Pertanyaan tentang Transcodely MCP
Bagaimana cara menambahkan Transcodely MCP ke Claude Code?
Jalankan claude mcp add --transport http mcp https://mcp.transcodely.com/mcp di terminal Anda. Tambahkan --scope user agar tersedia di semua proyek.
Bagaimana cara menambahkan Transcodely MCP ke Cursor?
Buka ~/.cursor/mcp.json dan tambahkan server di bawah mcpServers, menggunakan config Cursor yang ditunjukkan di bagian instalasi di atas.
Tool apa yang disediakan Transcodely MCP?
Server ini menyediakan 20 tool, termasuk create_job, create_preset, create_video_from_url, generate_captions, generate_highlights.
Apakah server ini bisa menghapus video atau job saya?
Tidak, server ini dirancang sedemikian rupa sehingga tidak ada tool yang dapat menghapus, membatalkan, menghilangkan, atau merotasi pekerjaan apa pun.
Apakah ada biaya untuk menggunakan tool ini?
Sebagian besar tool dapat dipanggil secara gratis, namun ada lima tool spesifik yang memulai pekerjaan (seperti membuat job atau menghasilkan caption) yang dikenakan biaya.
Bisakah saya mengatur budget untuk pemrosesan video saya?
Ya, Anda dapat mengatur atau menghapus batas pengeluaran transcoding bulanan dalam mata uang EUR menggunakan tool set_spend_limit.