Mailshake MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Mailshake 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
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="Mailshake Assistant",
instructions=(
"You help users interact with Mailshake. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Mailshake"
)
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 Mailshake MCP Server
Connect your Mailshake account to any AI agent to automate your cold outreach and sales engagement workflows. This MCP server enables your agent to manage campaigns, promote prospects to lead status, and track email interactions directly from natural language interfaces.
The OpenAI Agents SDK auto-discovers all 9 tools from Mailshake through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Mailshake, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Campaign Management — List all outreach campaigns, retrieve detailed sequences, and pause or unpause sending
- Lead Tracking — Monitor qualified leads, retrieve interaction histories, and update prospect statuses
- Prospect Ingestion — Programmatically add new recipients to existing campaigns to keep your pipeline full
- Message Insights — List sent and received messages and retrieve full content for automated sentiment analysis or follow-up planning
- Audience Oversight — List all recipients in a campaign and monitor their individual engagement stages (Sent, Opened, Replied)
The Mailshake 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.
How to Connect Mailshake to OpenAI Agents SDK via MCP
Follow these steps to integrate the Mailshake 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 9 tools from Mailshake
Why Use OpenAI Agents SDK with the Mailshake MCP Server
OpenAI Agents SDK provides unique advantages when paired with Mailshake 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
Mailshake + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Mailshake MCP Server delivers measurable value.
Automated workflows: build agents that query Mailshake, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Mailshake, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Mailshake tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Mailshake to resolve tickets, look up records, and update statuses without human intervention
Mailshake MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Mailshake to OpenAI Agents SDK via MCP:
add_prospects_to_campaign
Requires a JSON body with recipient details. Add new prospects to an existing campaign
get_campaign_details
Get details for a specific campaign
get_lead_history
Get history for a specific lead
get_message_content
Get content for a specific email message
list_campaign_leads
List qualified leads
list_campaign_recipients
List all recipients in a campaign
list_outreach_campaigns
List all outreach campaigns
list_outreach_messages
List sent and received messages
pause_outreach_campaign
Pause a running campaign
Example Prompts for Mailshake in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Mailshake immediately.
"List all my active outreach campaigns in Mailshake."
"Show recent leads for the 'Partnership' campaign."
"Pause the campaign with ID '12345'."
Troubleshooting Mailshake MCP Server with OpenAI Agents SDK
Common issues when connecting Mailshake to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Mailshake + OpenAI Agents SDK FAQ
Common questions about integrating Mailshake 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 Mailshake 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.
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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 Mailshake to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.