How to Use the Bsale MCP in AutoGen
Deploy AutoGen agents to debate, validate, and issue Bsale tax documents with built-in consensus checks.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Bsale MCP to AutoGen
Create your Vinkius account to connect Bsale 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.
Consensus-Driven Invoice Validation in AutoGen
The `create_document` tool on this Bsale MCP Server issues official Chilean invoices after validation by the SII. In an AutoGen setup, a dedicated tax compliance agent reviews the invoice details against Chilean tax rules before allowing the execution agent to run the tool. If a client's RUT or business activity is missing, a validation agent halts the process and requests data via `create_client`. This multi-agent debate guarantees that zero invalid documents reach the Chilean tax authorities.
Multi-Agent Stock Rebalancing with AutoGen
The `list_stocks` tool on this MCP Server provides real-time quantity data for every SKU across your office locations. Your AutoGen inventory agent analyzes these stock levels and debates with the sales agent on whether to transfer items. Once they agree on the transfer, the agent updates the catalog using `create_product` to match the new distribution. This conversational workflow handles complex logistics without human intervention.
Collaborative Pricing Adjustments via AutoGen MCP Server
The `list_price_lists` tool exposes retail, wholesale, and distributor prices to your agent cluster. A margin-focused agent and a volume-focused agent debate price adjustments based on seasonal demand. Once they reach consensus, they call `list_variants` to apply the negotiated rates to the correct SKUs. This keeps your pricing strategy competitive while maintaining strict margin controls.
Set up Bsale 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 Bsale 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="Bsale_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Bsale 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="Bsale_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Bsale 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 Bsale. 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 Bsale MCP in AutoGen
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