Grain MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Grain 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 Grain, 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 Grain MCP Server
Connect your Grain.com account to any AI agent and take full control of your team meeting recordings, automated transcriptions, and AI-powered insights through natural conversation.
The Vercel AI SDK gives every Grain tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Meeting Orchestration — List all meeting recordings in your workspace and retrieve primary entry points for workspace interactions natively
- Live Detail Retrieval — Resolve deep specific objects including transcripts and speaker attribution mapped by recording ID flawlessly
- AI Transcription — Download full text structures with speaker attribution, parsing raw linguistic data to review critical discussions limitlessly
- Contextual Insights — Extract high-level abstract reductions including sentiment mapping, summaries, and key takeaways generated by Grain's ML engines
- Action Item Tracking — Filter targeted follow-up tasks detected automatically within meeting scopes to automate post-call workflows
- Highlight Navigation — Identify curated clips and key moments generated by users within specific timestamps to focus on critical insights
- Global Search — Execute keyword scanning across all meeting recordings to find specific discussions and ranked datasets synchronously
- Asset Ingestion — Ingest remote video streams by passing public URLs for initial structural transformations and AI processing securely
- Team Oversight — Retrieve fully enumerated team maps tracking workspace members and authenticated user profiles natively
The Grain MCP Server exposes 12 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 Grain to Vercel AI SDK via MCP
Follow these steps to integrate the Grain 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 12 tools from Grain and passes them to the LLM
Why Use Vercel AI SDK with the Grain MCP Server
Vercel AI SDK provides unique advantages when paired with Grain 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 Grain integration everywhere
Built-in streaming UI primitives let you display Grain 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
Grain + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Grain MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Grain in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Grain tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Grain capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Grain through natural language queries
Grain MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Grain to Vercel AI SDK via MCP:
get_action_items
Extract all action items identified from a recording
get_current_user
Retrieve the authenticated Grain user profile
get_insights
Retrieve AI-generated insights from a recording
get_recording
Retrieve full details of a specific meeting recording
get_transcript
Retrieve the full timestamped transcript of a meeting with speaker names
list_highlights
List all highlights (curated clips) from a recording
list_recordings
List all meeting recordings in the Grain workspace
list_shared_clips
List all clips that have been shared from the workspace
list_tags
List all tags used across recordings and highlights
list_workspace_members
List all members of the Grain workspace
search_recordings
Search across all meeting recordings by keyword
upload_video
Upload an external video URL for processing by Grain
Example Prompts for Grain in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Grain immediately.
"List my meeting recordings from today"
"What were the key decisions in the 'Roadmap Sync' meeting?"
"Search for recordings mentioning 'pricing strategy'"
Troubleshooting Grain MCP Server with Vercel AI SDK
Common issues when connecting Grain to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGrain + Vercel AI SDK FAQ
Common questions about integrating Grain 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 Grain 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 Grain to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.