Grain MCP Server for Mastra AI 12 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Grain through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"grain": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Grain Agent",
instructions:
"You help users interact with Grain " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Grain?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Grain tool infrastructure. Connect 12 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.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Grain MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 12 tools from Grain via MCP
Why Use Mastra AI with the Grain MCP Server
Mastra AI provides unique advantages when paired with Grain through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Grain without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Grain tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Grain + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Grain MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Grain, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Grain as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Grain on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Grain tools alongside other MCP servers
Grain MCP Tools for Mastra AI (12)
These 12 tools become available when you connect Grain to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Grain to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGrain + Mastra AI FAQ
Common questions about integrating Grain MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
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?
Does Mastra support workflow orchestration?
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 Mastra AI
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.