SendCloud MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SendCloud through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="SendCloud Assistant",
instructions=(
"You help users interact with SendCloud. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from SendCloud"
)
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 SendCloud MCP Server
Empower your AI agent to orchestrate your digital communication with SendCloud, the premier email and SMS service provider for enterprises. By connecting SendCloud to your agent, you transform complex mailing campaigns, template management, and contact list auditing into a natural conversation. Your agent can instantly send targeted emails, retrieve detailed delivery status, monitor mailing address lists, and even provide performance statistics without you ever needing to navigate the comprehensive SendCloud portal. Whether you are automating transactional notifications or coordinating large-scale marketing newsletters, your agent acts as a real-time communication assistant, keeping your messages accurate and your delivery reliable.
The OpenAI Agents SDK auto-discovers all 10 tools from SendCloud through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries SendCloud, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Email Orchestration — Send individual or template-based emails and retrieve real-time delivery status for auditing.
- Template Management — Browse and retrieve available email templates to maintain consistent branding across communications.
- Address List Control — Create, manage, and monitor mailing address lists and their members directly through the agent.
- Performance Insights — Retrieve high-level statistics on email delivery, open rates, and general performance metrics.
- Account Auditing — Access general account metadata and monitor your communication usage and limits.
The SendCloud MCP Server exposes 10 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 SendCloud to OpenAI Agents SDK via MCP
Follow these steps to integrate the SendCloud 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 10 tools from SendCloud
Why Use OpenAI Agents SDK with the SendCloud MCP Server
OpenAI Agents SDK provides unique advantages when paired with SendCloud 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
SendCloud + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the SendCloud MCP Server delivers measurable value.
Automated workflows: build agents that query SendCloud, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries SendCloud, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through SendCloud tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query SendCloud to resolve tickets, look up records, and update statuses without human intervention
SendCloud MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect SendCloud to OpenAI Agents SDK via MCP:
add_address_member
Add member to address list
create_address
Create address list
delete_address
Delete address list
get_email_status
Get email delivery status
get_stats
Get email statistics
get_user_info
Get account information
list_address_members
List address members
list_addresses
List mailing addresses
list_templates
List email templates
send_email
Send an email
Example Prompts for SendCloud in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with SendCloud immediately.
"Send a welcome email to 'mario@example.com' using the 'welcome-template'."
"Show me the performance stats for the last month."
"List all my mailing address lists."
Troubleshooting SendCloud MCP Server with OpenAI Agents SDK
Common issues when connecting SendCloud to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
SendCloud + OpenAI Agents SDK FAQ
Common questions about integrating SendCloud 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?
Connect SendCloud 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 SendCloud to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.