How to Use the Invoiced MCP in CrewAI

Q: How does CrewAI handle connection errors to Invoiced?

The crew uses the checkinvoicedstatus tool to verify API connectivity before starting a run. If the connection is down, the supervisor agent pauses the execution to prevent workflow errors.

Q: Can I limit which Invoiced tools a CrewAI agent can access?

Yes, you can use the MCPServerHTTP class with a tool filter to expose only specific tools. This prevents a research agent from accidentally triggering tools like createinvoice.

Deploy autonomous agent crews in CrewAI to manage your Invoiced collections and ledger reconciliation.

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Connect Invoiced MCP to CrewAI

Create your Vinkius account to connect Invoiced to CrewAI 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 Invoiced with CrewAI

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Coordinate Invoiced collections teams using CrewAI

`list_invoices` allows your monitoring agent to identify overdue accounts that need immediate attention. In CrewAI, this agent passes the list of delinquent accounts to a specialized collections agent. The collections agent then calls `get_customer` to retrieve contact details and history. This team-based approach in CrewAI ensures your outreach is professional and based on accurate billing data.

Generate complex Invoiced bills via MCP Server tools

`create_invoice` builds new billing records using line items structured as a JSON array. Your CrewAI drafting agent parses raw operational data, formats the quantities and unit costs, and passes them to the tool. A second moderator agent in CrewAI reviews the generated draft before finalizing it. This dual-agent validation prevents billing errors from reaching your customers' inboxes.

Reconcile Invoiced payments across your entire ledger

`list_payments` pulls the latest transaction records to check which invoices have been settled. Your CrewAI reconciliation crew compares these payments against outstanding balances to keep your books accurate. If a payment doesn't match an invoice, the CrewAI agent runs `list_credit_notes` to see if a credit applies. This autonomous loop resolves ledger discrepancies without requiring manual intervention, letting the MCP Server do the heavy lifting.

Setup guide

Set up Invoiced MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Invoiced tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Invoiced Analyst",
    goal="Access and analyze Invoiced data via MCP.",
    backstory="Expert analyst with direct Invoiced access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Invoiced transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Invoiced Analyst",
        goal="Access and analyze Invoiced data via MCP.",
        backstory="Expert analyst with direct Invoiced access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Invoiced transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Invoiced. 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 Invoiced MCP in CrewAI

Pass the Vinkius HTTP URL to the agent's MCP configuration during initialization. This grants that specific agent exclusive access to generate billing records while keeping other agents restricted.

Yes, your research agent in CrewAI can call this tool to gather customer profiles. The shared memory system allows other agents in the crew to use this context for follow-up actions.

The crew uses the `check_invoiced_status` tool to verify API connectivity before starting a run. If the connection is down, the supervisor agent pauses the execution to prevent workflow errors.

Yes, you can use the `MCPServerHTTP` class with a tool filter to expose only specific tools. This prevents a research agent from accidentally triggering tools like `create_invoice`.

All customer, payment, and invoice data is accessed through secure, ephemeral V8 isolates. Vinkius handles the authorization tokens, meaning your CrewAI environment never stores raw API credentials.

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