Compatible with every major AI agent and IDE
What is the Kapwing MCP Server?
Connect your Kapwing account to any AI agent to automate your video production and media rendering workflows through natural conversation.
What you can do
- Automated Rendering — Initiate complex video or image renders using project JSON definitions including layers, text, and dimensions
- Status Tracking — Monitor the real-time progress of your renders and retrieve download URLs once processing is complete
- Asset Management — List and browse all renders associated with your account to keep track of your media history
- Webhook Integration — Optionally receive notifications at a specific URL when your media is ready
How it works
- Subscribe to this server
- Enter your Kapwing API Key
- Start generating and managing media from Claude, Cursor, or any MCP-compatible client
No more manual editing for repetitive tasks. Your AI acts as a video engineer, handling the rendering pipeline for you.
Who is this for?
- Content Creators — automate the generation of repetitive video formats or social media assets
- Developers — integrate video rendering capabilities into your apps without leaving your coding environment
- Marketing Teams — scale content production by generating localized or personalized videos from templates
Built-in capabilities (3)
The project definition includes width, height, and layers (video, text, etc.). Initiates the rendering process for a project
) and download URL for a specific render ID. Retrieves the current status of a render
Returns a list of all renders associated with your account
Why Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and Kapwing tool infrastructure. Connect 3 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Kapwing without touching business code
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Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
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TypeScript-native: full type inference for every Kapwing tool response with IDE autocomplete and compile-time checks
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One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Kapwing in Mastra AI
Kapwing and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Kapwing to Mastra 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.
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 Kapwing in Mastra AI
The Kapwing 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 3 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Mastra 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.

* 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
Kapwing for Mastra AI
Every tool call from Mastra AI to the Kapwing MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I check if my video render is finished?
You can use the get_render_status tool by providing your unique Render ID. The agent will return the current status (e.g., 'completed') and the download URL if it's ready.
Can I start a new render using a JSON project definition?
Yes! Use the create_render action. You just need to provide the project object containing dimensions and layers. You can also specify a webhookUrl for automated notifications.
Is it possible to see a history of all my renders?
Absolutely. The list_renders tool fetches all renders associated with your authenticated account, allowing the AI to summarize or find specific past projects.
How does Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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