Bring Invoicing
to CrewAI
Learn how to connect NeetoInvoice to CrewAI and start using 20 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the NeetoInvoice MCP Server?
Connect your NeetoInvoice account to any AI agent to streamline your billing and project management workflows through natural conversation.
What you can do
- Client Management — Create, retrieve, and update client profiles and recipients with ease using
create_clientandget_client. - Project & Team Tracking — Set up projects with specific billing methods (hourly or fixed) and manage team assignments using
create_projectandadd_project_user. - Time Tracking — Log time entries and monitor work logs across projects to ensure accurate billing with
create_time_entry. - Invoice Generation — Automatically generate professional invoices based on project data and time entries using
generate_invoice. - Team Collaboration — List and manage team members and project users to keep your workforce organized.
How it works
- Subscribe to this server
- Enter your NeetoInvoice API Key and Subdomain
- Start managing your clients and invoices from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Freelancers & Agencies — track billable hours and generate invoices without leaving your workspace
- Finance Teams — quickly query client details and project statuses for reporting
- Project Managers — manage team assignments and project billing methods through simple chat commands
Built-in capabilities (20)
Add a user to a project
Add team members to the workspace
Requires name, currency, and status. Create a new client in NeetoInvoice
Create a new project
Create a recipient for a client
Create a new time entry
Delete a client recipient
Generate a new invoice for a client
Get client details by ID
Get project details by ID
List users assigned to a project
List all team members in the workspace
List time entries with optional filters
Remove a user from a project
Remove team members from the workspace
Update an existing client
Update an existing project
Update a project user role
Update a client recipient
Update a team member
Why CrewAI?
When paired with CrewAI, NeetoInvoice becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call NeetoInvoice tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
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
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
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
NeetoInvoice in CrewAI
NeetoInvoice and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect NeetoInvoice 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 | 4,000+ 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 NeetoInvoice in CrewAI
The NeetoInvoice 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 20 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
NeetoInvoice for CrewAI
Every tool call from CrewAI to the NeetoInvoice MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I log hours for a specific project?
You can use the create_time_entry tool. Just provide the project ID and the duration of work to record it in NeetoInvoice immediately.
Can I add a new team member to a project via AI?
Yes! Use the add_project_user tool by specifying the Project ID, User ID, and their role (e.g., 'project_manager' or 'regular_user').
How can I check the billing details of a project?
Use the get_project tool with the Project ID. It will return the billing method, tasks, and other metadata associated with that project.
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.
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