How to Use the Invoice Ninja MCP in AutoGen
Deploy collaborative AutoGen agents to debate, verify, and execute billing workflows in Invoice Ninja.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Invoice Ninja MCP to AutoGen
Create your Vinkius account to connect Invoice Ninja 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.
Automate billing verification with multi-agent debate
Stop letting single agents make billing mistakes. This Invoice Ninja MCP Server lets you set up AutoGen agents that argue over transactions before they go live. A billing agent drafts the invoice using `create_invoice`, while an audit agent double-checks it against client data retrieved via `get_client`. This back-and-forth prevents expensive billing mistakes. The agents hash out discrepancies in tax rates or line items in their chat thread before finalizing the invoice.
Resolve payment anomalies autonomously
You can build an AutoGen team where one agent monitors payments via `list_payments` and another manages collections. When an underpayment is found, the audit agent fetches the payment details using `get_payment` and alerts the collections agent. The collections agent can then pull the original bill using `get_invoice` to calculate the outstanding balance. This entire conversation happens in the background, resolving issues without human intervention.
Sync catalogs using AutoGen and the MCP Server
Keep your inventory and billing platforms aligned through agent collaboration. One agent pulls your latest internal product spreadsheet, while another checks Invoice Ninja using `list_products` to find missing items. If they find a mismatch, they negotiate the correct pricing and call `create_product` to update the system. This ensures your sales team always bills customers using the correct, updated rates.
Set up Invoice Ninja 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 Invoice Ninja 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="Invoice Ninja_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Invoice Ninja 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="Invoice Ninja_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Invoice Ninja 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 Invoice Ninja. 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 Invoice Ninja MCP in AutoGen
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