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How to Use the Moneybird MCP in AutoGen

Let AutoGen agents debate and reconcile your Moneybird ledger entries and invoices automatically.

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Connect Moneybird MCP to AutoGen

Create your Vinkius account to connect Moneybird 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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Reconcile bank mutations via AutoGen debate

`list_financial_mutations` feeds raw bank transactions into your AutoGen agent conversation. A Moneybird reconciliation agent and an audit agent debate whether a transaction matches an open invoice. They verify the match against `list_invoices` to ensure Moneybird accuracy before suggesting a ledger entry. This consensus-driven approach keeps your books clean without manual oversight in AutoGen.

Validate Moneybird contacts in AutoGen

`create_contact` allows your billing agent to register new clients during multi-agent conversations in AutoGen. A sales agent gathers the details, while an AutoGen compliance agent checks the data before triggering the Moneybird tool. They run `list_contacts` to prevent duplicate profiles in your Moneybird system. This collaborative validation ensures only clean, unique customer records enter your accounting system.

Multi-agent estimate and workflow review

`list_estimates` exposes active quotes to your AutoGen sales strategy agents. The agents analyze outstanding Moneybird proposals and coordinate follow-up schedules based on current pipeline values. They query `list_workflows` to ensure each estimate matches your company's standard Moneybird billing path. The AutoGen agents collaborate to flag bottlenecks in your sales-to-invoice process.

Setup guide

Set up Moneybird 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 Moneybird 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="Moneybird_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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Common questions about Moneybird MCP in AutoGen

Use autogen-ext[mcp] to load tools like list_invoices from the Vinkius MCP server. Pass the adapter-wrapped tools directly to your AssistantAgent constructor so they are available during conversations.
Yes, an agent can invoke create_contact once the conversation reaches a consensus. The agent extracts the name and email from the discussion and registers the profile instantly.
Vinkius handles API rate limits at the MCP server level. When your agents call list_financial_mutations or list_ledger_accounts rapidly, the server queues requests to prevent failures.
Yes, you can set up an AutoGen debate where one agent pulls data via list_purchase_invoices and another checks it against list_ledger_accounts to verify correct categorization.
Your ledger accounts and financial details are protected. The Vinkius sandbox isolates the Moneybird MCP server, ensuring your sensitive accounting data never leaks to external networks.

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