Invoiced MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Invoiced through Vinkius, pass the Edge URL in the `mcps` parameter and every Invoiced 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="Invoiced Specialist",
goal="Help users interact with Invoiced effectively",
backstory=(
"You are an expert at leveraging Invoiced 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 Invoiced "
"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 Invoiced MCP Server
Empower your AI agents to manage your billing and payments lifecycle with Invoiced. This MCP server allows you to list customers, retrieve invoice details, track payments, and view subscription plans directly through the Invoiced API. Ideal for automating accounts receivable and financial operations.
When paired with CrewAI, Invoiced becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Invoiced tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
The Invoiced 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 Invoiced to CrewAI via MCP
Follow these steps to integrate the Invoiced 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 Invoiced
Why Use CrewAI with the Invoiced MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Invoiced 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
Invoiced + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Invoiced MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Invoiced 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 Invoiced, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Invoiced 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 Invoiced against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Invoiced MCP Tools for CrewAI (10)
These 10 tools become available when you connect Invoiced to CrewAI via MCP:
get_customer
Returns contact info, balance data, and payment settings. Use for deep intelligence on a customer before billing interactions. Retrieves details for a specific customer
get_invoice
Essential for auditing specific billings or providing customer support. Retrieves details for a specific invoice
list_coupons
Useful for auditing marketing incentives. Lists all active discount coupons
list_customers
Returns customer names, account numbers, and IDs. Use this as the main starting point for managing receivables or identifying specific clients. Lists all customers in Invoiced
list_invoices
Includes invoice numbers, amounts, and statuses. Essential for monitoring accounts receivable and overall revenue flow. Lists all invoices
list_items
Includes item codes, descriptions, and unit prices. Useful for auditing the available billing inventory. Lists all items in your catalog
list_payments
Returns payment methods, amounts, and transaction IDs. Use this to audit revenue collection and reconcile bank statements. Lists all payments received
list_plans
g., Monthly SaaS, Annual Support). Useful for auditing subscription-based business models. Lists all defined subscription plans
list_subscriptions
Essential for monitoring long-term customer commitments and MRR (Monthly Recurring Revenue). Lists all active customer subscriptions
list_tax_rates
Essential for auditing compliance and understanding how taxes are applied to invoices. Lists all defined tax rates
Example Prompts for Invoiced in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Invoiced immediately.
"List all active customers in Invoiced."
"Show me the last 5 invoices generated."
"Check the status of invoice number 'INV-789'."
Troubleshooting Invoiced MCP Server with CrewAI
Common issues when connecting Invoiced 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
Invoiced + CrewAI FAQ
Common questions about integrating Invoiced 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 Invoiced with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Invoiced to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.