How to Use the eGestor ERP MCP in AutoGen

Q: How do I initialize eGestor ERP tools in AutoGen?

Install autogen-extmcp. Use mcpservertools with StreamableHttpServerParams to fetch the MCP Server endpoints, then pass that list directly to your AssistantAgent constructor.

Q: How does AutoGen handle schema translation for eGestor ERP?

The framework handles it natively. McpToolAdapter automatically converts the JSON schemas for endpoints like listcontacts into a format the AutoGen agents understand.

Deploy debating AutoGen agents to audit your Brazilian financial records and operations.

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Connect eGestor ERP MCP to AutoGen

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Setup eGestor ERP with AutoGen

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Perplexity

Reconcile eGestor ERP with AutoGen

Single agents make mistakes when reviewing complex Brazilian tax rules. AutoGen lets you build a system where a finance agent pulls records using `list_sales` and a compliance agent immediately audits that data via this MCP Server. They talk to each other to find discrepancies. If the compliance agent spots an anomaly, it challenges the finance agent. The finance agent then runs `get_purchase` to check the corresponding inventory cost. They debate the margins until they reach a mathematically sound consensus.

Balance stock levels through debate

Deciding when to reorder stock requires balancing cash flow against customer demand. You can assign one agent to act as the warehouse manager and another as the CFO. The warehouse agent runs `list_products` to highlight low inventory. The CFO agent counters by running `list_purchases` to check recent spending. They argue over the budget versus the risk of a stockout. You get a reasoned recommendation based on actual data, not a simple threshold alert.

Coordinate service teams autonomously

Managing field services means juggling schedules and client histories. An AutoGen setup puts a dispatcher agent and a CRM agent in a shared chat. The CRM agent uses `get_contact` to pull the client's priority tier. The dispatcher agent then calls `list_services` to see available bandwidth. If they disagree on who gets priority, they negotiate based on the fiscal value of the contract. The final decision is logged and ready for your approval.

Setup guide

Set up eGestor ERP 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 eGestor ERP 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="eGestor ERP_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by eGestor. 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 eGestor ERP MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with `StreamableHttpServerParams` to fetch the MCP Server endpoints, then pass that list directly to your `AssistantAgent` constructor.

Yes. You can provide the same tool list to every agent in the conversation. Both your audit agent and your sales agent can call `get_sale` independently.

The framework handles it natively. `McpToolAdapter` automatically converts the JSON schemas for endpoints like `list_contacts` into a format the AutoGen agents understand.

Yes. AutoGen supports headless execution. You can trigger a multi-agent debate over your daily `list_purchases` data as part of a nightly automated script.

The integration operates on a zero-trust model. When your agents debate the data from `get_purchase`, the transaction details are routed directly through your local AutoGen environment. The MCP Server requires only a single endpoint token and retains no persistent state.

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