How to Use the Limelight Networks (Edgio CDN & Streaming API) MCP in Vercel AI SDK
Control your Edgio streaming infrastructure directly in your Vercel AI SDK frontend with real-time updates.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Limelight Networks (Edgio CDN & Streaming API) MCP to Vercel AI SDK
Create your Vinkius account to connect Limelight Networks (Edgio CDN & Streaming API) to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Live asset management for Vercel AI SDK
Trigger `list_assets` and `update_asset` directly from your React or Svelte components. You get the metadata back instantly, letting your UI reflect changes to video titles or tags without a page refresh. This keeps your streaming dashboard snappy. When your agent modifies content, the `get_asset` tool ensures your frontend state stays synced with the Edgio backend.
Real-time streaming diagnostics for Vercel AI SDK
Inject `get_hls_manifest` or `get_dash_manifest` calls into your streaming logic. Your UI can now pull manifest data the moment a user requests a playback stream, cutting down on lag. Combine this with `list_logs` to show playback health status in your app interface. You see the stream status as it happens, not after the fact.
SSAI and session setup for Vercel AI SDK
Initialize playback sessions with `initialize_preplay_session` while your agent handles the complex security logic. This ensures your users get authenticated stream access without exposing sensitive keys in the client. Your edge functions manage the session handshake. It's a clean way to handle server-side ad insertion while keeping your Vercel deployment lightweight.
Set up Limelight Networks (Edgio CDN & Streaming API) MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Limelight Networks (Edgio CDN & Streaming API) tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Limelight Networks (Edgio CDN & Streaming API) transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Edgio. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Limelight Networks (Edgio CDN & Streaming API) MCP in Vercel AI SDK
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