Bring Accounts Receivable
to CrewAI
Learn how to connect Invoiced to CrewAI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Invoiced MCP Server?
Connect your Invoiced account to any AI agent and take full control of your accounts receivable orchestration and automated billing workflows through natural conversation.
What you can do
- Invoice Portfolio Orchestration — List and manage all issued invoices programmatically, retrieving detailed payment metadata and aging statuses
- Customer & Payment Intelligence — Programmatically retrieve directories of customers and access complete credit profiles and payment history in real-time
- A/R Workflow Architecture — Access your complete directory of payment plans and auto-pay settings to coordinate your organizational revenue
- Operational Monitoring — Access real-time status updates for paid invoices and track collection metrics directly through your agent for instant reporting
- Infrastructure Verification — Verify account-level API connectivity and monitor transaction volume directly through your agent for perfectly coordinated service scaling
How it works
1. Subscribe to this server
2. Retrieve your API Key from your Invoiced dashboard (Settings > API)
3. Start orchestrating your revenue growth from Claude, Cursor, or any MCP client
No more manual following up on overdue payments or missing billing updates. Your AI acts as your dedicated finance coordinator and accounts receivable architect.
Who is this for?
- Finance Managers — instantly retrieve invoice summaries and monitor collection goals using natural language commands
- Accounts Receivable Leads — verify individual customer metadata and track payment history without leaving your creative workspace
- Developers — integrate high-speed Invoiced billing data into custom ERP and accounting pipelines through simple AI queries
Built-in capabilities (10)
Verify Invoiced API connectivity
Create a customer
Pass line items as JSON array with name, quantity, and unit_cost. Create an invoice
Get customer details
Get invoice details
List all credit notes
List all customers
List all estimates
List all invoices
List all payments
Why CrewAI?
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.
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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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
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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 in CrewAI
Invoiced and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Invoiced to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Invoiced in CrewAI
The Invoiced 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Invoiced for CrewAI
Every tool call from CrewAI to the Invoiced MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create invoices directly from my AI agent?
Yes. Use the create_invoice tool with a customer ID and line items. The invoice is created instantly in your Invoiced account.
How do I track outstanding payments?
Use list_payments to see all payment transactions or list_invoices to review invoices with their payment status and outstanding balances.
Can I manage customers and credit notes?
Absolutely. Use create_customer to add new accounts, list_customers to browse, and list_credit_notes to review all issued credits.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard 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?
Yes. Each agent has its own 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?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using 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)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.