How to Use the Mitto MCP in AutoGen
Let your AutoGen agents debate and coordinate SMS delivery and 2FA workflows using the Mitto MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Mitto MCP to AutoGen
Create your Vinkius account to connect Mitto 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.
Agent debates over SMS delivery costs
The `get_sms_usage_by_country` tool provides the raw pricing and delivery volume data needed for cost-optimization decisions. In AutoGen, your budget agent and marketing agent negotiate the best regional strategies based on this live feed. If carrier rates spike in a specific country, the budget agent flags the issue. The marketing agent then modifies the dispatch list, ensuring you only target high-ROI regions before calling `send_bulk_sms`.
Multi-agent security checks with this AutoGen MCP Server
The `set_2fa_limits` tool enforces operational boundaries to prevent fraud and billing spikes. Your security agent monitors authentication attempts and adjusts these limits dynamically when it detects suspicious behavior. Meanwhile, a user-experience agent advocates for higher limits to prevent friction. This MCP integration allows these agents to debate the risk profile in real-time, agreeing on a balanced threshold before applying it via `set_2fa_workflows`.
Coordinate number masking via agent consensus
The `create_masking_context` tool establishes secure, private communication channels between users. An operations agent initiates the request, while a compliance agent verifies that the participants meet privacy requirements. They coordinate the setup using the MCP tools only after both agents confirm the session is valid. This double-check prevents unauthorized routing configurations from being deployed to your live application.
Set up Mitto 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 Mitto 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="Mitto_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Mitto 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="Mitto_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Mitto 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 Mitto. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Mitto MCP in AutoGen
Use it with your favorite AI tools
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