Brightcove MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Brightcove through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Brightcove, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About Brightcove MCP Server
Connect your Brightcove Video Cloud account to any AI agent and orchestrate your video management, publishing, and analytics workflows through natural conversation.
The Vercel AI SDK gives every Brightcove tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Video Oversight — List all videos in your library, search by tags or metadata, and retrieve detailed technical specifications.
- Playlist Management — Create, update, and manage playlists to organize your content for different platforms.
- Metadata Control — Update video names, descriptions, and states (active/inactive) directly from your workspace.
- Content Organization — Access and list folders to verify how your assets are structured.
- Library Insights — Retrieve total video counts and monitor the status of individual media assets.
The Brightcove MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Brightcove to Vercel AI SDK via MCP
Follow these steps to integrate the Brightcove MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Brightcove and passes them to the LLM
Why Use Vercel AI SDK with the Brightcove MCP Server
Vercel AI SDK provides unique advantages when paired with Brightcove through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Brightcove integration everywhere
Built-in streaming UI primitives let you display Brightcove tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Brightcove + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Brightcove MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Brightcove in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Brightcove tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Brightcove capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Brightcove through natural language queries
Brightcove MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Brightcove to Vercel AI SDK via MCP:
create_playlist
Create a new playlist
delete_video
Delete a video permanently
get_folder_videos
List videos within a specific folder
get_playlist
Get details of a specific playlist
get_video
Get details of a specific video
get_video_count
Get total number of videos in the account
list_folders
List all video folders
list_playlists
List all playlists
list_videos
List all videos in the account
update_video
Update metadata for a video
Example Prompts for Brightcove in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Brightcove immediately.
"List the last 5 videos added to my Brightcove account."
"Show the playlists I have configured."
"Find all videos tagged with 'tutorial'."
Troubleshooting Brightcove MCP Server with Vercel AI SDK
Common issues when connecting Brightcove to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpBrightcove + Vercel AI SDK FAQ
Common questions about integrating Brightcove MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Brightcove with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Brightcove to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.