Can my agent retrieve the full transcript of a specific meeting recording in Fellow?

Yes. Use the 'get_transcript' tool. Provide the recording ID, and the agent will return the speaker-attributed text with timestamps, allowing you to review critical discussions or extract insights limitlessly.

How do I mark an action item as complete via chat?

Use the 'complete_action_item' tool. Provide the item ID. Your agent will update the task status in Fellow and notify the relevant stakeholders, ensuring your project progress is updated synchronously.

Can I see all meeting notes in my workspace through the agent?

Absolutely. The 'list_notes' tool identifies bounded records inside your workspace, returning note IDs, titles, meeting dates, and participants to help you browse your meeting history natively.

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

Name: Fellow
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 Fellow 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="Fellow Assistant",
            instructions=(
                "You help users interact with Fellow. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Fellow MCP Server

Connect your Fellow.app account to any AI agent and take full control of your meeting management, collaborative agendas, and action item tracking through natural conversation.

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

What you can do

Meeting Note Orchestration — List all meeting notes and retrieve full structured content including agenda items, discussion points, and decision metadata natively
Action Item Auditing — List and filter all tasks across meetings to track descriptions, assignees, and due dates for cross-meeting accountability flawlessly
Recording Management — Browse meeting recordings and retrieve video/audio details including time-limited download or stream URLs securely
AI Transcription Retrieval — Fetch full transcripts with speaker attribution and timestamps to review critical discussions or extract specific insights limitlessly
Task Lifecycle Control — Mark action items as complete or archive them to manage your active workspace and notify relevant stakeholders synchronously
Identity Oversight — Retrieve the authenticated profile identity including name, email, and workspace contexts to verify permission limits natively
Data Invalidation — Irreversibly vaporize specific meeting notes or recordings findable by ID to manage your organizational records strictly

The Fellow 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 Fellow to OpenAI Agents SDK via MCP

Follow these steps to integrate the Fellow 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 Fellow

Why Use OpenAI Agents SDK with the Fellow MCP Server

OpenAI Agents SDK provides unique advantages when paired with Fellow 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

Fellow + OpenAI Agents SDK Use Cases

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

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

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

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

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

Fellow MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Fellow to OpenAI Agents SDK via MCP:

archive_action_item

Archive an action item, removing it from active views without deleting it

complete_action_item

Use when a task has been finished. Mark an action item as complete

delete_note

Confirm with the user before executing — this cannot be undone. Permanently delete a meeting note by ID

delete_recording

Confirm with the user before executing. Permanently delete a meeting recording by ID

get_action_item

Use to inspect a single task. Retrieve details of a specific action item by ID

get_current_user

Use to verify which account is connected. Retrieve the authenticated Fellow user profile

get_note

Essential for reviewing a specific meeting. Retrieve the full content and metadata of a specific meeting note by ID

get_recording

Use to access a specific recording. Retrieve details of a specific meeting recording

get_transcript

Use for detailed review, compliance documentation, or extracting specific discussion points. Retrieve the full transcript of a meeting recording

list_action_items

Use for cross-meeting task tracking and accountability. List all action items across all meetings

list_notes

Use as the primary entry point to browse all meeting documentation. List all meeting notes in the Fellow workspace

list_recordings

Use to browse all recorded meetings. List all meeting recordings captured by Fellow

Example Prompts for Fellow in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Fellow immediately.

"Show me all my pending action items"

"Get the notes for the meeting 'Product Sync' from last Tuesday"

"List the last 3 meeting recordings"

Troubleshooting Fellow MCP Server with OpenAI Agents SDK

Common issues when connecting Fellow 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.

Fellow + OpenAI Agents SDK FAQ

Common questions about integrating Fellow 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.