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  1. Home
  2. 🎥 Multimedia Process
  3. Transcodely
Transcodely logo
Health: ActiveRecent health check succeeded.Last checked 10/8/2026, 2:31:16 AM

Transcodely

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videotranscodingcaptionsmediahosting

Transcode, host, caption, inspect, and monitor video through remote MCP tools.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON â–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "transcodely": {
      "command": "npx",
      "args": [
        "-y",
        "github:transcodely/mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (15) Directory Badge Claim listing Alternatives🎥 More in Multimedia Process

Overview

The Transcodely MCP server lets agents transcode and host videos, returning playable links through a remote streamable HTTP endpoint. It accepts remote HTTPS video URLs, creates transcoding jobs, generates captions, and exposes status, playback, output measurements, and usage data. OAuth browser authentication connects supported clients without creating an API key, while API-key bearer authentication is available for headless use. Reach for it when an agent needs video processing and hosting with auditable job results and spend controls.

Use cases

•Transcode a remote video and return a playable hosted link
•Generate captions for a hosted video
•Check whether an encoded output matches its requested settings
•Investigate why a storage upload did not create a job
•Review monthly video processing costs

Key features

•Remote HTTPS video ingestion and hosting
•Transcoding jobs with status and output progress
•Reusable custom encoding presets
•AI caption generation
•Output measurement and usage reporting
•Monthly EUR spend limits

Capabilities & Tool Schemas (15) ~522 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server — may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Transcodely.

create_job

Create a transcoding job.

create_preset

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

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

Generate AI captions (subtitles) for a hosted video by id (vid_...).

get_ingest_rule

Fetch one ingest rule by id (ing_...): its origin, enabled state, filters, the job it submits, and its event/job counts.

get_job_status

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.

How Transcodely works

What Transcodely MCP server does

The Transcodely MCP server provides an agent-facing video pipeline over Model Context Protocol. An agent can submit a remote HTTPS video for transcoding and hosting in one operation, then retrieve a playable link after processing. It can also create jobs directly, generate AI captions for hosted videos, and inspect the resulting media.

The service is scoped to one Transcodely app per session. Jobs, videos, presets, and ingest rules belonging to another app are not exposed through the tool surface. The server also records an audit trail for tool calls equivalent to the corresponding REST operations.

How it works

Connect to the hosted streamable HTTP endpoint at https://mcp.transcodely.com/mcp. Browser-based clients use OAuth 2.1 with PKCE, and the session determines the app scope. The bare endpoint resolves to the organization’s oldest active app; an app-specific URL can pin the connection to a particular app.

For headless or server-side agents, the connection guide supports sending a Transcodely API key as a bearer token. Three operations start billable work: create_job, create_video_from_url, and generate_captions. Preset creation, reads, reporting, and spend-limit changes do not themselves incur those processing charges.

Setup and configuration

The Transcodely MCP server is hosted, so there is no local service to install or run. In Claude Code, add the HTTP server with:

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

Authenticate through the browser when prompted. In Claude desktop, add the same URL as a custom connector. In Cursor, add an HTTP MCP entry pointing to the endpoint in ~/.cursor/mcp.json. Other clients can connect if they support remote MCP servers over streamable HTTP.

The set_spend_limit tool can set or clear a monthly transcoding limit in EUR, but it requires an organization owner or admin using browser OAuth. API-key sessions cannot use this tool.

Tools and capabilities

Available operations include:

  • Create transcoding jobs and reusable custom encoding presets.
  • Ingest and host an HTTPS video with create_video_from_url.
  • Generate captions for a hosted video.
  • List jobs, presets, ingest rules, and ingest events.
  • Read job progress, per-output status, playback information, and encoded renditions.
  • Compare a written output against the job request with get_output_report.
  • Review monthly encoding, storage, egress, request, and EUR cost data.
  • Update custom presets and configure the monthly spend limit.

Ingest rules describe how storage objects become transcoding jobs. Ingest-event results include the bucket, object key, outcome, reason for skips or failures, and any created job ID.

Limitations and notes

The Transcodely MCP server has no delete, cancel, remove, purge, rotate, or destroy tools. Agents cannot remove videos, jobs, outputs, presets, or rules, and cannot stop queued or running work. It also does not expose API keys, inbound ingest secrets, organization members, plans, invoices, team settings, or other administrative data.

Editing a preset affects jobs created afterward because presets are expanded when a job starts; existing jobs are unchanged. Lowering a spend limit blocks a later job but does not stop work already in progress. The MCP connection itself is free, while processing charges follow Transcodely’s ordinary rates.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit
25d ago
Most recent push to the default branch.
Tools exposed
15
Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Transcodely

Transcodely is an MCP server that connects AI agents to Transcodely’s video transcoding and hosting service. Its main tools create jobs, ingest and host videos from HTTPS URLs, generate captions, read job and playback status, measure outputs, inspect usage costs, and manage reusable encoding presets.

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Technical Specs & Signals

Category🎥Multimedia Process
More technical detailsExpand â–¾
TransportSTDIO
RuntimeNode.js
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 8, 2026
8/8 checks healthy over the last 42d
Views0
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Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit25d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 15, 2026
52Quality signal: Good · 52/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev · github:transcodely/mcp (npm)

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