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 CrewAI?
When paired with CrewAI, api.video Alternative becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call api.video Alternative tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
api.video Alternative in CrewAI
api.video Alternative and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect api.video Alternative to CrewAI 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 CrewAI
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 CrewAI 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 CrewAI
Every tool call from CrewAI 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.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
Explore More MCP Servers
View all →
AssessTEAM
7 toolsEvaluate employee performance, run 360-degree reviews, and track team goals with streamlined assessment workflows.

Looker (Business Intelligence & Data)
7 toolsManage your BI environment via Looker — list dashboards, execute inline queries, and audit saved Looks.

WooCommerce
10 toolsManage products, orders, and store analytics on WooCommerce — the most customizable open-source eCommerce platform.

Airbnb
12 toolsSearch and manage Airbnb listings, experiences, reservations, and pricing directly from any AI agent.
