Constant Contact 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 Constant Contact 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="Constant Contact Assistant",
instructions=(
"You help users interact with Constant Contact. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Constant Contact"
)
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 Constant Contact MCP Server
Integrate the expansive architecture of Constant Contact seamlessly within your conversational AI environment. Elevate your email marketing operations entirely via standard text prompts from querying audience groups to managing subscriber lists, effectively replacing conventional dashboard navigation.
The OpenAI Agents SDK auto-discovers all 10 tools from Constant Contact through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Constant Contact, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Client Lists & Audience Segments — Instruct your agent to quickly list your active digital subscriber bases, check contact statuses, or create updated mailing arrays natively.
- Drafting & Automation — Dictate marketing material drafts using conversational tone directives directly formatting structured HTML outbound materials for newsletters seamlessly.
- Campaign Performance Validation — Call out reporting inquiries directly into chat to grasp open rates and performance indicators immediately upon request.
The Constant Contact 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 Constant Contact to OpenAI Agents SDK via MCP
Follow these steps to integrate the Constant Contact 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 Constant Contact
Why Use OpenAI Agents SDK with the Constant Contact MCP Server
OpenAI Agents SDK provides unique advantages when paired with Constant Contact 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
Constant Contact + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Constant Contact MCP Server delivers measurable value.
Automated workflows: build agents that query Constant Contact, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Constant Contact, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Constant Contact tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Constant Contact to resolve tickets, look up records, and update statuses without human intervention
Constant Contact MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Constant Contact to OpenAI Agents SDK via MCP:
create_contact
Creates a new subscriber record with identity properties (email, name) and prepares it for list assignment. Add a new contact to your mailing list
get_account_summary
Resolves system-level usage statistics, plan limits, and core account identifiers. Get a high-level summary of account usage and limits
get_campaign_details
Resolves campaign configuration, including email content, subject lines, and sender profiles. Get full content and settings for a specific campaign
get_campaign_stats
Resolves engagement metrics including open rates, click counts, and delivery statistics. Get performance metrics (opens, clicks) for a campaign
get_contact_details
Resolves granular profile data including custom fields, mailing list memberships, and system-level metadata. Get detailed profile for a specific contact
list_contacts
Resolves contact identity properties including email addresses, names, and subscriber status across the marketing platform boundary. List all contacts in your Constant Contact account
list_email_campaigns
Resolves campaign identity, including IDs, names, and current scheduling status. List recent and active email marketing campaigns
list_mailing_lists
Resolves list identity properties such as list IDs, names, and contact counts used for segmentation. List all contact segments and mailing lists
list_recent_campaigns
Resolves identity and status for the most recently created campaigns. Quickly list the 5 most recent campaigns
search_contacts_by_email
Resolves contact profiles matching the specified email address across the system boundary. Search for a contact by their email address
Example Prompts for Constant Contact in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Constant Contact immediately.
"Provide a list of all active mailing segments established in Constant Contact."
"Extract the campaign metrics for the 'Holiday Outreach' email from last week."
"How many contacts do I currently have in my Constant Contact account?"
Troubleshooting Constant Contact MCP Server with OpenAI Agents SDK
Common issues when connecting Constant Contact to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Constant Contact + OpenAI Agents SDK FAQ
Common questions about integrating Constant Contact 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 Constant Contact 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 Constant Contact to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
