How to Use the Invoiced MCP in CrewAI
Deploy autonomous finance agents using the Invoiced MCP Server and CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
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.
Coordinate finance crews with CrewAI
Assign one agent to `list_invoices` while another monitors `list_payments`. They share context to reconcile books without you lifting a finger. This role-based approach ensures each agent focuses on a specific part of your financial operations. It builds a cohesive team out of individual tools.
Automate tax compliance and auditing
Use `list_tax_rates` to verify invoice accuracy across your entire customer base. Your agents can flag discrepancies before they become larger problems. This keeps your accounting clean. It provides a constant audit trail for your finance team to review.
Research customer billing history
Task an agent with `get_customer` to pull deep insights before a support call. It prepares your team with the full financial context of every account. This saves time during interactions. It replaces manual searching with instant, agent-driven lookup.
Set up Invoiced MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Invoiced tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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) 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Invoiced MCP in CrewAI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Invoiced MCP today
We host it, we monitor it, we maintain it. You just paste one token.