How to Use the Moneybird MCP in CrewAI
Deploy a crew of specialized AI agents to manage your Moneybird accounting and billing operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Moneybird MCP to CrewAI
Create your Vinkius account to connect Moneybird 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.
Audit your sales ledger with specialized CrewAI agents
The `list_invoices` tool provides your auditing crew with the raw sales data needed to spot billing anomalies. One specialized agent pulls the invoices, while a second agent cross-references them with estimates from `list_estimates`. This division of labor stops billing mistakes before they reach tax season. The agents use shared memory to track which invoices have already been verified, saving API tokens and execution time across the MCP Server.
Let CrewAI agents manage your Moneybird contacts list
The `list_contacts` tool allows your customer operations crew to scan your current client database for missing tax details. When a gap is found, an outreach agent drafts an email while an admin agent stands by. Once the client replies with their info, the admin agent uses the `create_contact` tool to update the record. This autonomous loop keeps your CRM and accounting software perfectly aligned.
Reconcile purchase invoices without manual data entry
The `list_purchase_invoices` tool lets your expense management crew pull external bills and match them against bank records. A researcher agent reads the purchase invoices, while a coordinator agent checks the ledger. The coordinator agent uses the `list_ledger_accounts` tool to find the correct tax category for each bill. The crew then logs the expense under the right code, keeping your books audit-ready.
Set up Moneybird 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 Moneybird tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Moneybird Analyst",
goal="Access and analyze Moneybird data via MCP.",
backstory="Expert analyst with direct Moneybird access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Moneybird 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="Moneybird Analyst",
goal="Access and analyze Moneybird data via MCP.",
backstory="Expert analyst with direct Moneybird access.",
tools=mcp_tools,
)
task = Task(
description="List recent Moneybird 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 Moneybird. 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
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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
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One
place for every integration
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Common questions about Moneybird MCP in CrewAI
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