MagicBell MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 3 tools to Create Broadcast, Get Broadcast, List Broadcasts
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect MagicBell through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The MagicBell MCP Server for OpenAI Agents SDK is a standout in the Productivity category — giving your AI agent 3 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="MagicBell Assistant",
instructions=(
"You help users interact with MagicBell. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from MagicBell"
)
print(result.final_output)
asyncio.run(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 MagicBell MCP Server
Connect your MagicBell project to any AI agent to orchestrate multi-channel notification workflows. Trigger broadcasts, check delivery status, and manage communication logs through natural conversation.
The OpenAI Agents SDK auto-discovers all 3 tools from MagicBell through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries MagicBell, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Broadcast Management — List all active and past broadcasts sent through your project to track communication history.
- Detailed Inspection — Fetch specific broadcast metadata, content, and processing status using unique UUIDs.
- Trigger Notifications — Create and send new broadcasts with custom titles, body content, and specific recipient filters.
- Multi-channel Control — Handle channel-specific overrides for email, SMS, and push notifications to ensure the right message reaches the right place.
The MagicBell MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 3 MagicBell tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to MagicBell through Vinkius, your AI agent gets direct access to every tool listed below — spanning notifications, multi-channel, push-alerts, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Create broadcast on MagicBell
Create a new broadcast
Get broadcast on MagicBell
Fetch a specific broadcast
List broadcasts on MagicBell
List all broadcasts in the project
Connect MagicBell to OpenAI Agents SDK via MCP
Follow these steps to wire MagicBell into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the MagicBell MCP Server
OpenAI Agents SDK provides unique advantages when paired with MagicBell 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
MagicBell + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the MagicBell MCP Server delivers measurable value.
Automated workflows: build agents that query MagicBell, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries MagicBell, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through MagicBell tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query MagicBell to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for MagicBell in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with MagicBell immediately.
"List all recent broadcasts in my MagicBell project."
"Show me the details and status for broadcast ID 550e8400-e29b-41d4-a716-446655440000."
"Create a new broadcast titled 'Flash Sale' with content 'Get 50% off today only!' for all recipients."
Troubleshooting MagicBell MCP Server with OpenAI Agents SDK
Common issues when connecting MagicBell to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
MagicBell + OpenAI Agents SDK FAQ
Common questions about integrating MagicBell MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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