How to Use the Botsonic MCP in AutoGen

Q: How do I register Botsonic tools with AutoGen agents?

Use the mcpservertools helper with your Vinkius HTTP endpoint. The McpToolAdapter converts the schemas so your AssistantAgent can use them immediately.

Q: How is Botsonic conversation data protected within AutoGen?

Chat logs retrieved via getconversation remain strictly inside your local agent runtime. Vinkius handles the connection using single-token authentication over an ephemeral, encrypted MCP connection.

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Connect Botsonic MCP to AutoGen

Create your Vinkius account to connect Botsonic 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 Botsonic with AutoGen

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Multi-Agent Consensus for Botsonic Bot Creation

Avoid deploying half-baked support bots by letting AutoGen agents debate the configuration first. One agent drafts the bot profile, while a critic agent reviews it before calling `create_bot`. Once they agree, the execution agent calls `add_knowledge_url` to train the bot. This team dynamic ensures no bot goes live without proper training sources.

Collaborative Lead Analysis via MCP Server

Use this MCP Server to let specialized agents analyze your customer pipeline. A sales agent calls `list_leads` to gather contact info, while a marketing agent evaluates the lead quality. They debate which leads are ready for outreach, then use `send_message` to test custom bot responses on simulated profiles before launching.

Automated Bot Optimization Teams

Set up a performance loop where a data-analyst agent calls `get_bot_analytics` to find low-performing support bots. It passes these metrics to a copywriter agent. The copywriter agent proposes prompt tweaks, and after a short debate, the system triggers `update_bot` to push the optimized settings live.

Setup guide

Set up Botsonic 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 Botsonic 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="Botsonic_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent Botsonic 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 Botsonic. 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.

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Common questions about Botsonic MCP in AutoGen

Use the `mcp_server_tools` helper with your Vinkius HTTP endpoint. The `McpToolAdapter` converts the schemas so your AssistantAgent can use them immediately.

Yes, they can. Agents in your group chat can share the toolset, allowing one agent to run `list_bots` and another to call `get_bot` on the results.

Yes, the adapter supports streamable HTTP transports, ensuring that tools like `send_message` pass responses back to your agents without lag.

Absolutely. AutoGen agents can run these tools in any Python-based CLI or CI/CD pipeline without needing a browser.

Chat logs retrieved via `get_conversation` remain strictly inside your local agent runtime. Vinkius handles the connection using single-token authentication over an ephemeral, encrypted MCP connection.

Use it with your favorite AI tools

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