Can my agent retrieve the AI summary of a specific Grain recording?

Yes. Use the 'get_insights' tool. The agent will fetch high-level abstract reductions including sentiment mapping, key discussion points, and summaries generated by Grain's ML engines natively.

How do I extract follow-up tasks from a meeting via chat?

Use the 'get_action_items' tool. Your agent will filter targeted follow-up tasks detected automatically by Grain within the meeting scope, enabling you to automate your post-call workflows flawlessly.

Can I search for meetings where a specific client was discussed through the agent?

Absolutely. Use the 'search_recordings' tool. Provide the keyword (e.g., client name). The agent will perform keyword scanning across all your meeting history and return ranked results natively.

Grain MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Grain
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Grain through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Grain Assistant",
            instructions=(
                "You help users interact with Grain. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Grain"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 OpenAI Agents SDK auto-discovers all 12 tools from Grain through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Grain, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Grain MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 12 tools from Grain

Why Use OpenAI Agents SDK with the Grain MCP Server

OpenAI Agents SDK provides unique advantages when paired with Grain through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Grain + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Grain MCP Server delivers measurable value.

Automated workflows: build agents that query Grain, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Grain, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Grain tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Grain to resolve tickets, look up records, and update statuses without human intervention

Grain MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Grain to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Grain to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Grain + OpenAI Agents SDK FAQ

Common questions about integrating Grain MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.