Compatible with every major AI agent and IDE
What is the api.video Alternative MCP Server?
Connect your api.video account to any AI agent and take full control of your video infrastructure through natural conversation.
What you can do
- Video Management — Create video containers, upload from URLs, and manage your entire library with full CRUD capabilities.
- Live Streaming — Create, update, and manage live streams, including starting and completing broadcast sessions.
- Advanced Analytics — Retrieve detailed metrics, breakdowns, and timeseries data to understand your video performance.
- Player & Customization — Create custom players, manage watermarks, and handle thumbnails with precise timecodes.
- Content Enrichment — Manage captions, chapters, and AI-generated summaries to make your videos more accessible and searchable.
- Webhooks & Automation — Set up webhooks to react to video events and manage upload tokens for secure client-side ingestion.
How it works
- Subscribe to this server
- Enter your api.video API Key
- Start managing your video assets from Claude, Cursor, or any MCP-compatible client
No more jumping between API documentation and dashboards to manage your video pipeline. Your AI acts as a dedicated video engineer.
Who is this for?
- Developers — integrate video features and check encoding statuses without leaving the code editor.
- Content Managers — organize video libraries, update metadata, and manage captions through simple chat commands.
- Data Analysts — quickly pull viewership metrics and performance breakdowns for reporting.
Built-in capabilities (49)
Stop a running live stream
Create a live stream object
Create and customize a player theme
Generate a summary (abstract and takeaways) for a video
Generate a new delegated upload token
Create a new video object (container)
Subscribe to events via webhook
Delete a caption
Delete a chapter
Delete a live stream
Delete a player theme
Remove the logo from a player theme
Delete a summary
Delete an upload token
Delete a video
Delete a watermark
Unsubscribe and delete a webhook
Retrieve a specific caption
Retrieve a specific chapter
Retrieve details of a discarded video
Retrieve live stream details
Get aggregated analytics metrics
Get analytics metrics breakdown
Get analytics metrics time series
Retrieve player theme details
Retrieve summary text
Retrieve upload token details
Retrieve video details
Check upload and encoding status of a video
Retrieve webhook details (includes signatureSecret)
List all captions for a video
List all chapters for a video
List discarded videos (if Video Restore is enabled)
List all live streams
List player themes
List all summaries
List all video tags used in the project and their video counts
List active upload tokens
video project. List all video objects
List all watermarks
List configured webhooks
Restore a discarded video
Set a caption as default
Update live stream settings
Update a player theme
Manually update summary content
Set a thumbnail from a specific timecode
Update video parameters
Ingest a video source from a URL
Why VS Code Copilot?
GitHub Copilot Agent mode brings api.video Alternative data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 49 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
- —
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
- —
Project-scoped MCP configs (
.vscode/mcp.json) let you commit server configurations to your repository, ensuring the entire team shares the same tool access - —
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
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GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
api.video Alternative in VS Code Copilot
api.video Alternative and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect api.video Alternative to VS Code Copilot through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for api.video Alternative in VS Code Copilot
The api.video Alternative MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 49 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in VS Code Copilot only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
api.video Alternative for VS Code Copilot
Every tool call from VS Code Copilot to the api.video Alternative MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check if a video has finished encoding and is ready to play?
Yes! Use the get_video_status tool with the Video ID. It will return the ingestion and encoding status, letting you know exactly when the video is playable.
How do I upload a video file that is already hosted online?
You can use the upload_video_source tool. Just provide the Video ID and the public URL of the source file, and api.video will ingest it automatically.
Is it possible to see how many people watched my videos yesterday?
Absolutely. Use the get_metrics or get_metrics_timeseries tools to retrieve viewership data and performance analytics for your account or specific videos.
Which VS Code version supports MCP?
MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
How do I switch to Agent mode?
Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
Can I restrict which MCP tools Copilot can access?
Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
Does MCP work in VS Code Remote or Codespaces?
Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.
MCP tools not available
Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.
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