How to Use the Clickatell MCP in AutoGen

Q: How do AutoGen agents negotiate budget limits before calling Clickatell?

One agent queries getaccountbalance while another calculates the cost of the bulk drop. They exchange messages to verify if the account balance covers the campaign before invoking dispatchbulksms.

Q: Can I use the Clickatell MCP Server with AutoGen's Streamable HTTP transport?

Yes. You can register the tools using mcpservertools and pass the Vinkius HTTP endpoint parameter directly to your AssistantAgent constructor.

Q: How do AutoGen agents handle failed Clickatell SMS deliveries?

A monitoring agent can call getdeliverystatus to check carrier logs. If it detects a failure, it passes the logs to a recovery agent to try a different route or trigger cancelqueuedmessage.

Q: How do I load these MCP tools into my agent's environment?

Install autogen-extmcp and use the adapter to convert the schemas. This lets your agents easily read the tool definitions and call them during conversations.

Let your AutoGen agents debate and coordinate bulk SMS campaigns and carrier routing.

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Create your Vinkius account to connect Clickatell 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.

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Setup Clickatell with AutoGen

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Let AutoGen agents debate carrier coverage before sending

Set up a multi-agent workflow where agents negotiate routing using `test_carrier_coverage`. The quality agent checks carrier paths, while the dispatch agent prepares the queue using `dispatch_sms_message`. They collaborate to find the most reliable route before executing the send. This debate-driven process ensures you do not waste money on dead routing paths or bad carrier connections.

Autonomous budget control using MCP Server tools

Build a financial guardian agent that acts as a gatekeeper using `get_account_balance`. Before your marketing agent calls `dispatch_bulk_sms`, the guardian agent checks active funding limits. If the balance is too low, the guardian agent refuses to approve the step, forcing the system to pause. This consensus-driven safety check prevents runaway API costs without requiring human eyes on each run.

Collaborative routing cleanup and webhook management

Coordinate complex rule updates using specialized agents that check each other's work with `upsert_inbound_rule`. One agent can draft new webhooks, while a security agent reviews the configuration using `list_inbound_rules`. If the security agent flags a risk, it instructs the system to call `wipe_inbound_rule` to remove the bad endpoint. This cooperative loop keeps your webhooks secure and accurately configured.

Setup guide

Set up Clickatell 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 Clickatell 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="Clickatell_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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

Get your connection token →

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Common questions about Clickatell MCP in AutoGen

One agent queries get_account_balance while another calculates the cost of the bulk drop. They exchange messages to verify if the account balance covers the campaign before invoking dispatch_bulk_sms.

Yes. You can register the tools using mcp_server_tools and pass the Vinkius HTTP endpoint parameter directly to your AssistantAgent constructor.

A monitoring agent can call get_delivery_status to check carrier logs. If it detects a failure, it passes the logs to a recovery agent to try a different route or trigger cancel_queued_message.

Install autogen-ext[mcp] and use the adapter to convert the schemas. This lets your agents easily read the tool definitions and call them during conversations.

Yes, completely. All MCP Server tool executions are locked down inside secure V8 isolates. The carrier status data and SMS logs are processed entirely in memory and vanish the moment the session ends.

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