Kontak 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 Kontak 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="Kontak Assistant",
instructions=(
"You help users interact with Kontak. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Kontak"
)
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 Kontak MCP Server
Connect your AI agent to Kontak to automate your customer communications and message auditing.
The OpenAI Agents SDK auto-discovers all 10 tools from Kontak through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kontak, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
Key Features
- Unified Messaging history — List and audit all sent and received SMS and call logs
- Contact Management — Access and manage your Kontak address book via natural language
- Outbound SMS — Send text messages to customers directly from your chat client
- Template Access — Browse available message templates for consistent communication
- Audit & Analytics — Retrieve system logs and account metadata to monitor performance
Quick Setup
1. Subscribe to this server
2. Log in to your Kontak account, go to API Settings and generate a Bearer Token
3. Enter your token in the configuration panel
4. Start managing your communications via chat
The Kontak 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 Kontak to OpenAI Agents SDK via MCP
Follow these steps to integrate the Kontak 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 Kontak
Why Use OpenAI Agents SDK with the Kontak MCP Server
OpenAI Agents SDK provides unique advantages when paired with Kontak 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
Kontak + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Kontak MCP Server delivers measurable value.
Automated workflows: build agents that query Kontak, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Kontak, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Kontak tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Kontak to resolve tickets, look up records, and update statuses without human intervention
Kontak MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Kontak to OpenAI Agents SDK via MCP:
get_contact_details
Get details for a specific contact
get_kontak_account_info
Get account settings and info
get_kontak_audit_logs
Retrieve system audit logs
get_message_details
Get details for a specific message
list_kontak_contacts
List all contacts
list_kontak_messages
List all sent and received messages
list_kontak_tags
List all contact tags
list_kontak_templates
List available message templates
list_kontak_webhooks
List configured webhooks
send_outbound_sms
Send a new SMS message
Example Prompts for Kontak in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Kontak immediately.
"List the last 5 messages from my Kontak account"
"Send an SMS to +1987654321 saying 'Hello from AI'"
"Find contact named 'Robert'"
Troubleshooting Kontak MCP Server with OpenAI Agents SDK
Common issues when connecting Kontak to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Kontak + OpenAI Agents SDK FAQ
Common questions about integrating Kontak 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 Kontak 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 Kontak to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.