How to Use the Kontak MCP in AutoGen
Let AutoGen agents debate messaging strategies and coordinate SMS dispatches using the Kontak toolset.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kontak MCP to AutoGen
Create your Vinkius account to connect Kontak to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Coordinate AutoGen agent debates over Kontak SMS campaigns
The `send_outbound_sms` tool is controlled by a multi-agent consensus loop where your AutoGen agents debate the safety and timing of each text. A copywriter agent drafts the message, a compliance agent checks it against `list_kontak_templates`, and a final sender agent triggers the transmission. This collaborative workflow prevents accidental spamming and ensures every message aligns with your brand rules. If the compliance agent objects, the draft goes back for revisions before any external API calls run.
Resolve contact conflicts in AutoGen using this MCP Server
This MCP Server provides `list_kontak_contacts` to help your AutoGen agents resolve duplicate profiles and outdated phone numbers. One agent specializes in scanning the directory while another uses `get_contact_details` to verify the accuracy of the records. They negotiate the best way to merge contacts or update records without manual intervention. Using `list_kontak_tags`, the agents also categorize contacts based on their consensus decisions, keeping your CRM clean.
Manage AutoGen webhooks and rate limits dynamically
The `list_kontak_webhooks` tool lets your AutoGen system monitor active integrations and coordinate automated responses to incoming texts. When a webhook triggers, your agents discuss which team member is best suited to handle the incoming payload. Before sending a reply, the agents check `get_kontak_account_info` to verify your remaining message credits and API limits. This cooperative resource management ensures your automated campaigns never exceed your budget or rate constraints.
Set up Kontak MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Kontak tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Kontak_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Kontak data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Kontak_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Kontak data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Kontak. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Kontak MCP in AutoGen
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