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How to Use the eCompliance MCP in AutoGen

Give your AutoGen agents direct access to the eCompliance MCP Server. Watch them debate safety audits and negotiate corrective actions.

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Connect eCompliance MCP to AutoGen

Create your Vinkius account to connect eCompliance 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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Multi-agent debate on safety incidents

`get_incident_details` provides the exact investigation notes to your AutoGen chat group. A risk-assessment agent reviews the narrative while a compliance-auditor agent checks the timeline. They argue over the severity. The risk agent might flag a minor cut as a systemic hazard, prompting the compliance agent to run `list_safety_incidents` to find historical precedents. They reach a consensus before alerting human management.

Automate site health audits via MCP Server

The `quick_safety_health_audit` tool hands your agents a top-level summary of all recent site activity. If the numbers look bad, a manager agent assigns a worker agent to dig deeper. The worker agent triggers `list_safety_inspections` to find the exact audits that dragged the score down. This isn't a simple script. It is a dynamic conversation where agents challenge each other's findings until the root cause is isolated.

Negotiate corrective action priorities

`list_corrective_actions` pulls the backlog of required safety fixes into the thread. Your operational agent pushes to delay fixes for production speed, while the safety agent demands immediate resolution. The safety agent pulls data from `list_latest_incidents` to prove that ignoring the fixes is causing active harm. The framework forces them to negotiate a priority list based on hard API data, not assumptions.

Setup guide

Set up eCompliance MCP in AutoGen

Prerequisites

  • Python 3.10+ installed
  • autogen-ext[mcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 3

    Run your agent

    Pass the tools to AssistantAgent and call agent.run(). The agent invokes eCompliance 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="eCompliance_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent eCompliance data")
print(result.messages[-1].content)

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Common questions about eCompliance MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with a `StreamableHttpServerParams` configuration, and pass the resulting tool list directly into your `AssistantAgent` constructor.
Yes. The `McpToolAdapter` handles the schema conversion. Any agent in the conversation with the tools registered can call `search_safety_incidents` to gather evidence for their argument.
If `get_inspection_details` returns an empty set, the agent reports the missing data to the group chat. Another agent can then suggest calling `get_ecompliance_metadata` to verify the connection status.
You configure that in the framework. You can set the execution to require human input before calling destructive tools, though the current eCompliance MCP implementation is strictly read-only.
Yes, when an agent calls `list_site_employees`, the names and site IDs are sent to your configured LLM for reasoning. Vinkius secures the transport via an ephemeral, single-use auth token, but you must ensure your LLM provider has a zero-retention policy.

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