Bring Invoicing
to CrewAI
Learn how to connect Holded to CrewAI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Holded MCP Server?
Connect your Holded account to any AI agent and take full control of your business operations and ERP workflows through natural conversation.
What you can do
- Sales Lifecycle — Manage everything from quotes and sales orders to invoices and credit notes programmatically
- Purchase Tracking — Monitor supplier relationships and manage purchase orders and invoices with ease
- CRM & Contacts — Organize your customer base, inventory products, and business expenses in one centralized hub
- Treasury & Payments — Monitor payments, treasury accounts, and financial health directly through your agent
- Inventory Control — List and manage products and stock levels to ensure your business never misses a beat
How it works
1. Subscribe to this server
2. Generate an API Key in your Holded settings (Settings > Developers)
3. Start managing your business accounting and CRM from Claude, Cursor, or any MCP client
No more digging through complex ERP menus to find a customer balance or create a quick invoice. Your AI acts as your dedicated business administrator.
Who is this for?
- Small to Medium Businesses — streamline daily operations and billing without manually entering every record
- Accountants & Controllers — quickly retrieve financial reports, unpaid invoices, and expense summaries
- Operations Managers — maintain inventory levels and manage supplier relationships through automated queries
Built-in capabilities (12)
Requires contact ID and items. Create a new invoice
List CRM contacts
List all credit notes
List business expenses
List all sales invoices
List recent payments
List inventory products
List purchase invoices
List purchase orders
List all quotes
List all sales orders
List active webhooks
Why CrewAI?
When paired with CrewAI, Holded becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Holded 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
Holded in CrewAI
Holded and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Holded 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 Holded in CrewAI
The Holded 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 12 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
Holded for CrewAI
Every tool call from CrewAI to the Holded MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Where do I find my API Key?
You can generate your API key inside your Holded account under Settings > Developers.
Does the integration support inventory management?
Yes, you can list and manage products, variants, and stock levels using the list_products and related tools.
Can I create invoices automatically with my AI agent?
Yes, the server includes tools to create sales invoices, quotes, and credit notes by providing the necessary customer and item details.
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.