How to Use the Bexio MCP in AutoGen
Let your AutoGen agents debate and coordinate Swiss business tasks using this dedicated MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bexio MCP to AutoGen
Create your Vinkius account to connect Bexio 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.
Run multi-agent consensus on Bexio operations
AutoGen excels at letting specialized agents debate tasks before acting. For example, a billing agent can pull records with `list_invoices` while an audit agent checks them against `list_orders` to flag discrepancies before any updates occur. This collaborative loop reduces mistakes in your Swiss accounting. The agents discuss the data retrieved from `list_projects` and agree on the next step before triggering any tools.
Connect this MCP Server to AutoGen AssistantAgents
You can register tools like `create_contact` and `list_contacts` directly to your `AssistantAgent` instances. The `McpToolAdapter` handles the schema translation automatically so your agents can write clean tool calls. Because AutoGen supports streamable HTTP transports, your agents receive rapid updates when polling your Swiss business account. This makes multi-agent workflows fast and responsive.
Coordinate complex sales tasks between agents
Let one agent pull active quotes using `list_offers` while another checks inventory with `list_items`. They can negotiate the best fulfillment strategy in their chat history before presenting the final plan to you. If a new customer needs to be registered, the coordinator agent assigns the task to a contact manager agent, which uses `get_contact` to verify the record doesn't exist before calling `create_contact`.
Set up Bexio 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Bexio tools and returns structured results.
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="Bexio_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Bexio data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Bexio_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Bexio data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bexio. 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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Common questions about Bexio MCP in AutoGen
Use it with your favorite AI tools
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