How to Use the Bland AI MCP in AutoGen

Q: Can AutoGen check Bland AI status?

Yes, the agents use listcalls to fetch status updates. They can then debate the next logical step based on those results.

Let your AutoGen agents debate and execute Bland AI phone calls.

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Create your Vinkius account to connect Bland AI 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 Bland AI with AutoGen

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Debate Bland AI calls in AutoGen

Assign one agent to `send_call` and another to verify the budget. They discuss the logic before the call ever goes out. This prevents accidental outbound spikes. Agents challenge each other's decisions, ensuring only authorized calls are executed.

Automate Bland AI monitoring with AutoGen

Use `list_calls` to let your agents audit performance. If one agent finds a high failure rate, it alerts the group to `stop_call` on specific instances. Your agents act as a team. They identify issues and resolve them without you writing custom monitoring scripts.

Coordinate Bland AI agents via AutoGen

Keep your voice agents in sync using `list_agents` and `get_agent`. Your team of agents ensures every configuration is consistent across your account. They negotiate changes to pathways or voices. You get a consensus-driven management layer for your entire voice stack.

Setup guide

Set up Bland AI 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 Bland AI 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="Bland AI_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Bland AI 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 Bland AI. 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

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Bland AI MCP in AutoGen

You pass the MCP tools to your agents. They use their discussion process to decide when to trigger `send_call` or `stop_call`.

Yes, the agents use `list_calls` to fetch status updates. They can then debate the next logical step based on those results.

You can set up a security agent to intercept tool calls. It verifies the request before allowing the Bland AI server to execute it.

The server provides a unified interface. Every agent in your group has access to the same current list of pathways and voices.

We isolate your call metadata and transcript contents. No external parties access this data while your agents deliberate.

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

Mastra AI sdk-typescript

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