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Gmelius MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 9 tools to Check Gmelius Status, Create Gmelius Card, Get Gmelius Board, and more

Built by Vinkius GDPR 9 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Gmelius app connector for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 9 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="Gmelius Assistant",
            instructions=(
                "You help users interact with Gmelius. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Gmelius
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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 Gmelius MCP Server

Connect your Gmelius account to any AI agent and take full control of your team's collaborative workspace and high-fidelity shared inbox orchestration through natural conversation.

The OpenAI Agents SDK auto-discovers all 9 tools from Gmelius through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Gmelius, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Conversation Portfolio Orchestration — List all collaborative email threads, retrieve detailed high-fidelity history, and monitor ticket status programmatically
  • Kanban Pipeline Intelligence — Query team project boards, retrieve detailed technical metadata, and stay on top of workflow progress in real-time
  • Card & Task Orchestration — Programmatically generate new task cards or email items on specific boards directly through your agent for perfectly coordinated delivery
  • Sequence Monitoring — Access configured automated high-fidelity email sequences and monitor their status directly through your agent for outreach optimization
  • Template Discovery — Access your complete directory of high-fidelity shared email templates and inboxes to choose the right context for every interaction
  • Operational Monitoring — Verify account-level API connectivity and monitor collaborative volume directly through your agent for perfectly coordinated service scaling

The Gmelius MCP Server exposes 9 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.

All 9 Gmelius tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Gmelius through Vinkius, your AI agent gets direct access to every tool listed below — spanning shared-inbox, email-delegation, kanban-boards, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_gmelius_status

Check API Status

create_gmelius_card

Add a new card to a board

get_gmelius_board

Get details for a specific board

get_gmelius_conversation

Get details for a specific conversation

list_gmelius_board_cards

List cards on a Kanban board

list_gmelius_boards

List collaborative Kanban boards

list_gmelius_conversations

List Gmelius shared conversations

list_gmelius_sequences

List email sequences

list_gmelius_templates

List shared email templates

Connect Gmelius to OpenAI Agents SDK via MCP

Follow these steps to wire Gmelius into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 9 tools from Gmelius

Why Use OpenAI Agents SDK with the Gmelius MCP Server

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

01

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

02

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

03

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

04

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

Gmelius + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Gmelius in OpenAI Agents SDK

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

01

"List all active Kanban boards and show their status."

02

"Show the last 5 conversations assigned to me."

03

"Check the available email templates for the 'Sales' team."

Troubleshooting Gmelius MCP Server with OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

Gmelius + OpenAI Agents SDK FAQ

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

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.