How to Use the FreeClimb MCP in AutoGen

Q: How do I register the FreeClimb MCP Server in AutoGen?

Install autogen-extmcp first. Use mcpservertools with StreamableHttpServerParams pointing to your Vinkius endpoint, then pass that tool list to your AssistantAgent constructor.

Q: Can AutoGen agents buy phone numbers automatically?

Yes, one agent can use listbuyablenumbers to find options, while a finance agent evaluates the cost. They must reach a consensus before any purchase is finalized.

Q: How do AutoGen agents track live FreeClimb conferences?

A monitoring agent uses listconferences to poll active rooms. It shares this data with other agents in the conversation, who then decide whether to merge rooms or disconnect idle lines.

Q: What happens if a FreeClimb API call fails in AutoGen?

The executing agent receives the error from getcalldetails or getsmsdetails. It then posts the error to the group chat, allowing a recovery agent to suggest an alternative route or a backoff delay.

Let your AutoGen agents debate and coordinate real-time outbound calls and SMS campaigns.

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Create your Vinkius account to connect FreeClimb 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 FreeClimb with AutoGen

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Coordinate automated phone calls using AutoGen agents

The `make_call` tool allows a dedicated voice agent to initiate outbound calls based on instructions from its peers. Before dialing, a budget agent checks `get_account_status` to confirm you have enough funds to cover the call. These agents debate whether a voice call is necessary or if an SMS is more cost-effective. Once they reach a consensus, the voice agent executes the call and reports the metadata back to the group.

Use this MCP Server to debate and dispatch SMS alerts

The `send_sms` tool executes text messaging workflows after your security and content agents approve the payload. The content agent drafts the message, while the security agent checks it against compliance rules. If the group approves, the message goes out immediately. A tracking agent then uses `get_sms_details` to monitor delivery and alerts the group if a carrier blocks the message.

Manage active telephony applications through multi-agent consensus

The `list_applications` tool lets your configuration agent audit your active communication setups. If it finds an outdated webhook URL, it flags it for the deployment agent to review. This prevents single-agent errors from breaking your live routing. The agents must agree on the configuration state before executing any changes, keeping your production environment stable.

Setup guide

Set up FreeClimb 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 FreeClimb 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="FreeClimb_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent FreeClimb 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="FreeClimb_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent FreeClimb 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 FreeClimb. 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 FreeClimb MCP in AutoGen

Install `autogen-ext[mcp]` first. Use `mcp_server_tools` with `StreamableHttpServerParams` pointing to your Vinkius endpoint, then pass that tool list to your `AssistantAgent` constructor.

Yes, one agent can use `list_buyable_numbers` to find options, while a finance agent evaluates the cost. They must reach a consensus before any purchase is finalized.

A monitoring agent uses `list_conferences` to poll active rooms. It shares this data with other agents in the conversation, who then decide whether to merge rooms or disconnect idle lines.

The executing agent receives the error from `get_call_details` or `get_sms_details`. It then posts the error to the group chat, allowing a recovery agent to suggest an alternative route or a backoff delay.

Your API tokens are injected via environment variables and never exposed to the LLM. All tool calls, including active conference lists and SMS metadata, run through a zero-trust MCP sandbox that is destroyed instantly after execution.

Use it with your favorite AI tools

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