Moneybird MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Moneybird through Vinkius, pass the Edge URL in the `mcps` parameter and every Moneybird tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Moneybird Specialist",
goal="Help users interact with Moneybird effectively",
backstory=(
"You are an expert at leveraging Moneybird tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in Moneybird "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Moneybird MCP Server
Connect your Moneybird administration to your AI agent and take full control of your business accounting and invoicing through natural conversation.
When paired with CrewAI, Moneybird becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Moneybird tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
What you can do
- Invoicing & Sales — List all sales invoices and get detailed info on specific ones, including amounts and due dates.
- Purchase Tracking — Access your incoming purchase invoices from suppliers to keep track of expenses.
- Financial Mutations — Monitor bank mutations and all financial transactions within your administration.
- Recurring Billing — List and manage your recurring sales invoice templates for automated billing.
- Ledger & Bookkeeping — View your chart of accounts (ledger accounts) and defined accounting workflows.
- Contact Management — View and create customer or supplier contacts to keep your CRM updated.
- Estimates Oversight — Access and list your business estimates to track potential sales.
The Moneybird MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Moneybird to CrewAI via MCP
Follow these steps to integrate the Moneybird MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from Moneybird
Why Use CrewAI with the Moneybird MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Moneybird through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Moneybird + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Moneybird MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Moneybird for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries Moneybird, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Moneybird tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries Moneybird against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Moneybird MCP Tools for CrewAI (10)
These 10 tools become available when you connect Moneybird to CrewAI via MCP:
create_contact
Create a new contact in Moneybird
get_invoice
Get specific invoice details
list_contacts
List Moneybird contacts
list_estimates
List business estimates
list_financial_mutations
List financial transactions
list_invoices
List sales invoices
list_ledger_accounts
List ledger accounts
list_purchase_invoices
List purchase invoices
list_recurring_invoices
List recurring invoices
list_workflows
List accounting workflows
Example Prompts for Moneybird in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Moneybird immediately.
"List all my sales invoices from the last month."
"Check my recent bank mutations."
"List my purchase invoices from suppliers."
Troubleshooting Moneybird MCP Server with CrewAI
Common issues when connecting Moneybird to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Moneybird + CrewAI FAQ
Common questions about integrating Moneybird MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Moneybird with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Moneybird to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.