Bring Invoicing
to Mastra AI
Learn how to connect NeetoInvoice to Mastra AI 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 Mastra AI?
Mastra's agent abstraction provides a clean separation between LLM logic and NeetoInvoice tool infrastructure. Connect 20 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
- —
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add NeetoInvoice without touching business code
- —
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
- —
TypeScript-native: full type inference for every NeetoInvoice tool response with IDE autocomplete and compile-time checks
- —
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
NeetoInvoice in Mastra AI
NeetoInvoice and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect NeetoInvoice to Mastra AI 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 Mastra AI
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 Mastra AI 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 Mastra AI
Every tool call from Mastra AI 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 Mastra AI connect to MCP servers?
Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
Can Mastra agents use tools from multiple servers?
Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
Does Mastra support workflow orchestration?
Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.
createMCPClient not exported
Install: npm install @mastra/mcp
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