Dialog Insight 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 Dialog Insight 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="Dialog Insight Assistant",
instructions=(
"You help users interact with Dialog Insight. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Dialog Insight"
)
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 Dialog Insight MCP Server
Integrate Dialog Insight, the powerful relationship marketing and CRM platform, directly into your AI workflow. Manage your marketing contacts, monitor email and SMS campaign performance, and track automated workflows using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Dialog Insight through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Dialog Insight, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Contact Intelligence — List and retrieve detailed profiles for your marketing contacts and their subscription preferences.
- Campaign Performance — Monitor real-time analytics for email and SMS campaigns, including open and click rates.
- Automation Oversight — Track active marketing automation workflows and customer journeys.
- Audience Segmentation — List configured audience segments and identify estimated member counts.
The Dialog Insight 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 Dialog Insight to OpenAI Agents SDK via MCP
Follow these steps to integrate the Dialog Insight 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 Dialog Insight
Why Use OpenAI Agents SDK with the Dialog Insight MCP Server
OpenAI Agents SDK provides unique advantages when paired with Dialog Insight 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
Dialog Insight + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Dialog Insight MCP Server delivers measurable value.
Automated workflows: build agents that query Dialog Insight, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Dialog Insight, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Dialog Insight tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Dialog Insight to resolve tickets, look up records, and update statuses without human intervention
Dialog Insight MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Dialog Insight to OpenAI Agents SDK via MCP:
add_new_marketing_contact
Add a new contact record to the Dialog Insight database
get_account_metadata
Retrieve settings and limits for your Dialog Insight account
get_campaign_performance
Get detailed performance metrics for a specific campaign
get_contact_profile
Get detailed profile and history for a specific contact
list_active_automations
List active marketing automation workflows
list_audience_segments
List all configured audience segments for targeting
list_high_performing_campaigns
Identify campaigns with the highest engagement rates (mock logic)
list_marketing_campaigns
List all email and SMS marketing campaigns
list_marketing_contacts
List all contacts in your Dialog Insight organization
search_contacts_by_email
Search for a contact record by their email address
Example Prompts for Dialog Insight in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Dialog Insight immediately.
"List all active marketing campaigns."
"Show me the performance for campaign 'Spring Promotion'."
"Find contact profile for 'user@example.com'."
Troubleshooting Dialog Insight MCP Server with OpenAI Agents SDK
Common issues when connecting Dialog Insight to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Dialog Insight + OpenAI Agents SDK FAQ
Common questions about integrating Dialog Insight 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 Dialog Insight 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 Dialog Insight to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.