原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Transcodely

作者:transcodely版本 1.1.0i★ –i在云端运行
注册名称com.transcodely/mcp

安装

概览

作者提供的说明(英文原文)

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

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 设计、图片与音频

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.transcodely.com/mcp

在终端中运行这条命令

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

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

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

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.transcodely.com/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 transcodely.com 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    端点有响应

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    使用 OAuth 登录

    尚未检查;我们会轮流检查各个端点

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2160 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2160 个服务器的 34% 更新
  • 基础检查结果等于或优于此分类中其他 2160 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Transcodely 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.1.0)于2个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者:GLips

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

在你的电脑上运行★ 16,165MIT5个月前更新
安装

Claude Real Video

作者:HUANGCHIHHUNGLeo

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

在你的电脑上运行★ 2,284MIT2个月前更新
安装

Figma MCP Server

作者:figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分;其余内容请在仓库中阅读

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