How to Use the ProTexting MCP in AutoGen

Q: How do I configure ProTexting for AutoGen?

Install autogen-extmcp. Retrieve the tools using mcpservertools with StreamableHttpServerParams and pass them to your AssistantAgent.

Q: Which AutoGen agent should hold the ProTexting tools?

Assign execution tools like sendsms and creategroup to a dedicated executor agent. Let your reasoning agents handle the strategy and pass commands to the executor.

Q: How do agents handle failed API calls?

The McpToolAdapter feeds the error back into the conversation. The agents read the error message, discuss the failure, and formulate a new request.

Deploy AutoGen agent teams to debate, plan, and execute SMS campaigns via the ProTexting MCP server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect ProTexting MCP to AutoGen

Create your Vinkius account to connect ProTexting to AutoGen — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup ProTexting with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

AutoGen multi-agent campaign execution

The `send_bulk` tool acts as the final step after your AutoGen agents debate a marketing strategy. A copywriter agent drafts the text, while a compliance agent checks the length and tone before approving the send. They negotiate the payload. Once they reach consensus, the executor agent triggers the API call and reports the result back to the group chat.

Automated list hygiene

The `list_contacts` and `delete_contact` tools give your agent teams direct control over subscriber management. An analytics agent reviews bounce rates while a manager agent decides which numbers to purge. The system requires no human intervention. The agents discuss the criteria for removal, agree on the targets, and execute the deletions systematically via the MCP tool interface.

Campaign monitoring and recovery

The `get_message_status` tool allows your agents to monitor active broadcasts. If an agent detects a high failure rate, it alerts the team to halt further actions. A diagnostic agent then runs `check_protexting_status` to verify API connectivity. The team isolates the issue and proposes a fix before attempting another delivery.

Setup guide

Set up ProTexting 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 includes mcp_server_tools for 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 AssistantAgent and call agent.run(). The agent invokes ProTexting tools and returns structured results.

agent.py

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="ProTexting_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent ProTexting data")
print(result.messages[-1].content)

Get your connection token →

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. McpWorkbench is 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=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

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="ProTexting_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent ProTexting data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ProTexting. 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.

Connect ProTexting now

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 ProTexting MCP in AutoGen

Install `autogen-ext[mcp]`. Retrieve the tools using `mcp_server_tools` with `StreamableHttpServerParams` and pass them to your `AssistantAgent`.

Assign execution tools like `send_sms` and `create_group` to a dedicated executor agent. Let your reasoning agents handle the strategy and pass commands to the executor.

That is the core design. You configure a group chat where agents must reach an agreement on the messaging copy before the executor is allowed to fire the API.

The `McpToolAdapter` feeds the error back into the conversation. The agents read the error message, discuss the failure, and formulate a new request.

Vinkius handles the underlying authentication without exposing tokens to your code. The phone numbers processed by your agents are routed through a secure, ephemeral tunnel that logs nothing.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript