Pydantic AISDK

api.video Alternative MCP Server

Bring Video Hosting
to Pydantic AI

Name: api.video Alternative MCP Server
Price: 29 USD
Availability: InStock
Rating: 4.7 (1 reviews)
Author: Vinkius

Learn how to connect api.video Alternative to Pydantic AI and start using 49 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Complete Live StreamCreate Live StreamCreate PlayerCreate SummaryCreate Upload TokenCreate VideoCreate WebhookDelete CaptionDelete ChapterDelete Live StreamDelete PlayerDelete Player LogoDelete SummaryDelete Upload TokenDelete VideoDelete WatermarkDelete WebhookGet CaptionGet ChapterGet Discarded VideoGet Live StreamGet MetricsGet Metrics BreakdownGet Metrics TimeseriesGet PlayerGet Summary SourceGet Upload TokenGet VideoGet Video StatusGet WebhookList CaptionsList ChaptersList Discarded VideosList Live StreamsList PlayersList SummariesList TagsList Upload TokensList VideosList WatermarksList WebhooksRestore Discarded VideoUpdate Caption DefaultUpdate Live StreamUpdate PlayerUpdate Summary SourceUpdate ThumbnailUpdate VideoUpload Video Source

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

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)

complete_live_stream

Stop a running live stream

create_live_stream

Create a live stream object

create_player

Create and customize a player theme

create_summary

Generate a summary (abstract and takeaways) for a video

create_upload_token

Generate a new delegated upload token

create_video

Create a new video object (container)

create_webhook

Subscribe to events via webhook

delete_caption

Delete a caption

delete_chapter

Delete a chapter

delete_live_stream

Delete a live stream

delete_player

Delete a player theme

delete_player_logo

Remove the logo from a player theme

delete_summary

Delete a summary

delete_upload_token

Delete an upload token

delete_video

Delete a video

delete_watermark

Delete a watermark

delete_webhook

Unsubscribe and delete a webhook

get_caption

Retrieve a specific caption

get_chapter

Retrieve a specific chapter

get_discarded_video

Retrieve details of a discarded video

get_live_stream

Retrieve live stream details

get_metrics

Get aggregated analytics metrics

get_metrics_breakdown

Get analytics metrics breakdown

get_metrics_timeseries

Get analytics metrics time series

get_player

Retrieve player theme details

get_summary_source

Retrieve summary text

get_upload_token

Retrieve upload token details

get_video

Retrieve video details

get_video_status

Check upload and encoding status of a video

get_webhook

Retrieve webhook details (includes signatureSecret)

list_captions

List all captions for a video

list_chapters

List all chapters for a video

list_discarded_videos

List discarded videos (if Video Restore is enabled)

list_live_streams

List all live streams

list_players

List player themes

list_summaries

List all summaries

list_tags

List all video tags used in the project and their video counts

list_upload_tokens

List active upload tokens

list_videos

video project. List all video objects

list_watermarks

List all watermarks

list_webhooks

List configured webhooks

restore_discarded_video

Restore a discarded video

update_caption_default

Set a caption as default

update_live_stream

Update live stream settings

update_player

Update a player theme

update_summary_source

Manually update summary content

update_thumbnail

Set a thumbnail from a specific timecode

update_video

Update video parameters

upload_video_source

Ingest a video source from a URL

Why Pydantic AI?

Pydantic AI validates every api.video Alternative tool response against typed schemas, catching data inconsistencies at build time. Connect 49 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

—
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
—
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your api.video Alternative integration code
—
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
—
Dependency injection system cleanly separates your api.video Alternative connection logic from agent behavior for testable, maintainable code

See it in action

api.video Alternative in Pydantic AI

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

api.video Alternative and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect api.video Alternative to Pydantic AI 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.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	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

Unlock for AI Agents View step-by-step setup guide for Pydantic AI →

Enterprise Security

Why teams choose Vinkius for api.video Alternative in Pydantic AI

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 Pydantic AI 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.

Unlock for AI Agents View full api.video Alternative details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures
api.video Alternative for Pydantic AI

Every tool call from Pydantic AI to the api.video Alternative MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

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.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your api.video Alternative MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

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