Bring Video Review
to Vercel AI SDK
Learn how to connect MediaSilo (Legacy) to Vercel AI SDK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the MediaSilo (Legacy) MCP Server?
Connect your MediaSilo (Legacy) account to any AI agent and manage video production workflows through natural conversation.
What you can do
- Project Management — Create and manage workspaces and projects
- Asset Browsing — Search and browse video files, images, and documents
- Link Sharing — Create secure, password-protected review links
- Review Tracking — Monitor comments, approvals, and annotations
- Analytics — Track viewer engagement, drop-offs, and playback stats
How it works
1. Subscribe to this server
2. Enter your MediaSilo API Key and API Secret
3. Start managing your media assets from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Post-Production — manage dailies, cuts, and client reviews
- Agencies — share video pitches and track client engagement
- Video Editors — automate file organization and sharing workflows
Built-in capabilities (11)
Get details for a specific MediaSilo asset
Get current authenticated MediaSilo user
Get details for a specific MediaSilo project
Get details for a specific MediaSilo QuickLink
Get details for a specific MediaSilo user
List all assets in the MediaSilo account
List assets within a specific MediaSilo folder
List users assigned to a specific MediaSilo project
List projects in the MediaSilo account
List all QuickLinks in the MediaSilo account
List all users in the MediaSilo account
Why Vercel AI SDK?
The Vercel AI SDK gives every MediaSilo (Legacy) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same MediaSilo (Legacy) integration everywhere
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Built-in streaming UI primitives let you display MediaSilo (Legacy) tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
MediaSilo (Legacy) in Vercel AI SDK
MediaSilo (Legacy) and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect MediaSilo (Legacy) to Vercel AI SDK 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 | 3,400+ 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 MediaSilo (Legacy) in Vercel AI SDK
The MediaSilo (Legacy) 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 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK 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
MediaSilo (Legacy) for Vercel AI SDK
Every tool call from Vercel AI SDK to the MediaSilo (Legacy) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create secure review links?
Yes. Generate password-protected, expiring links for external clients to review video assets.
How does MediaSilo authentication work?
It requires both an API Key and API Secret sent via custom headers against api.shift.io/v3.
Can I track viewer engagement on videos?
Yes. Track playbacks, total watch time, drop-off points, and specific timestamp comments.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp