How to Use the NeetoInvoice MCP in AutoGen

Q: How do AutoGen agents access the NeetoInvoice MCP tools?

Use the mcpservertools adapter from autogen-ext to fetch the tools from your Vinkius endpoint. Pass the tools list to your agent configuration.

Q: How do AutoGen agents handle conflicting client data in NeetoInvoice?

One agent can call getclient to fetch current records while another checks external databases. They debate the differences before calling updateclient with the verified data.

Deploy multi-agent debates in AutoGen to verify project hours and generate NeetoInvoice bills.

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Connect NeetoInvoice MCP to AutoGen

Create your Vinkius account to connect NeetoInvoice 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 NeetoInvoice with AutoGen

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Consensus-driven invoice generation in AutoGen

The `generate_invoice` tool executes only after your billing and project manager agents agree on the logged hours. The PM agent calls `list_time_entries` to verify work, while the billing agent checks the budget. This multi-agent setup prevents incorrect bills from reaching your clients. It uses the MCP Server to act as an automated gatekeeper for your financial records.

Collaborative client and recipient setup

The `create_client` tool registers new accounts, and `create_recipient` adds the necessary billing contacts. One agent drafts the client details while a compliance agent reviews the currency and status field before execution. If errors are found, the agents call `update_client` to correct the profile. They work together to ensure your CRM and invoicing data match perfectly.

Autonomous team and project allocation

The `add_project_user` tool assigns developers to active projects based on real-time availability. Your resource manager agent reviews `list_team_members` and coordinates with the project agent to assign the right people. When roles change, the agents call `update_project_user` or `remove_project_user` to keep the workspace clean. This keeps your project access control completely automated and accurate.

Setup guide

Set up NeetoInvoice 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 NeetoInvoice 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="NeetoInvoice_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

    result = await agent.run("List recent NeetoInvoice 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 NeetoInvoice. 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 NeetoInvoice MCP in AutoGen

Use the `mcp_server_tools` adapter from `autogen-ext` to fetch the tools from your Vinkius endpoint. Pass the tools list to your agent configuration.

Yes. Your agents can collaborate to list time entries, verify them against project scopes, and call `generate_invoice` without human intervention.

One agent can call `get_client` to fetch current records while another checks external databases. They debate the differences before calling `update_client` with the verified data.

No. Vinkius manages the MCP token at the endpoint level, allowing all your AutoGen agents to execute tools securely.

All API calls to your team and client settings are routed through secure, isolated environments. Vinkius employs zero-trust network policies to ensure your financial data is never exposed.

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