Axonaut MCP. Manage financials, quotes, and client data via chat.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Axonaut MCP connects your AI agent directly to your business back office. Manage invoices, track quotes, audit expenses, and keep tabs on contacts—all through natural conversation.
Instead of navigating dense financial menus, you just ask for it. It's all-in-one ERP automation designed to handle everything from basic task creation to complex financial audits.
What your AI agents can do
Create task
Allows you to create a new, actionable task within the system.
Get account check
Verifies the connection status and retrieves current user account information.
Get company
Pulls specific, detailed records for one company by its identifier.
List and search through all company and contact records in Axonaut.
Retrieve lists of invoices, quotes, expenses, and orders using natural language prompts.
Create, list, and track internal tasks with specific deadlines and descriptions.
View product catalogs, active orders, and milestones across all projects.
Check the account connection health and retrieve current user details to confirm data integrity.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 CompatibleWaiting for input…
Axonaut with 12 Tools
Use these specialized tools to coordinate business data, managing everything from company rosters to financial documents via your AI agent.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Axonaut on Vinkius019d7557create task
Allows you to create a new, actionable task within the system.
019d7557get account check
Verifies the connection status and retrieves current user account information.
019d7557get company
Pulls specific, detailed records for one company by its identifier.
019d7557list companies
Retrieves a full list of all companies stored in Axonaut.
019d7557list contacts
Provides a comprehensive listing of all associated contacts.
019d7557list expenses
Generates a list of recorded business expenses.
019d7557list invoices
Retrieves a list detailing all issued invoices.
019d7557list orders
Provides a manifest of all active and completed orders.
019d7557list products
Lists all products available in the catalog for reference.
019d7557list projects
Retrieves a list of ongoing and past projects.
019d7557list quotations
Lists all created quotes or estimates (devis).
019d7557list tasks
Retrieves a full list of existing team tasks.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Axonaut, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Axonaut. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
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EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The current process for getting a full business picture is tedious.
Right now, running a simple status check requires opening the CRM tab to look at contacts, then switching over to the Finance portal to run an invoice audit. You copy IDs and paste them into different reports just to cross-reference data points—it's click, switch, copy, repeat.
With this MCP, your agent handles all those switches behind the scenes. You ask, 'What are our top 5 outstanding quotes?' and it instantly pulls that figure for you. The entire process runs on natural conversation.
Using `list_invoices` makes auditing bills a simple chat command.
Before this, checking unpaid invoices involved logging into the accounting system, navigating to the 'Billing' section, and setting date filters. It was a three-step process just to see who owes you money.
Now, simply asking your agent to list all invoices handles the complexity. You get the data instantly without opening a single web page.
What you can do with this MCP connector
Axonaut lets your AI agent act like a dedicated operations assistant for your company data. You stop manually clicking through separate tabs and forms to pull together project status, outstanding bills, or customer details. With this MCP, you talk to your agent, and it talks to your business records. Need to know which quotes are aging poorly? Just ask.
Want to list all expenses from last quarter? The agent pulls that data for you. It’s a direct bridge between natural conversation and complex operational systems. Because this functionality is hosted on Vinkius, your preferred AI client—whether it's Claude or Cursor—gets immediate access to the entire catalog of tools needed to run your business.
019d7557-4668-7078-bc25-36bf3262fc03 How Axonaut MCP Works
- 1 Subscribe to this MCP on Vinkius and enter your specific Axonaut API Key.
- 2 Connect your AI client (like Cursor or Claude) to the subscribed service.
- 3 Use conversation to request data, for example, 'Show me all unpaid invoices from Q2'—the agent executes the tool calls.
The bottom line is, you manage complex business operations by talking to your AI client instead of navigating through multiple software tabs.
Who Is Axonaut MCP For?
This MCP targets small and mid-sized businesses whose owners or managers spend too much time cross-referencing data across different financial, CRM, and project management dashboards.
Running end-of-month audits. They use this to retrieve lists of invoices, expenses, and product metadata without manually exporting reports.
Keeping projects on track. They use it to list active tasks and check overall account health instantly from a single chat window.
Managing client pipelines. They use it to quickly search for company records or list active quotations when meeting with clients.
What Changes When You Connect
- Audit unpaid bills instantly using
list_invoices. You don't need to navigate the billing portal; your agent fetches the exact data you need. - Keep project teams moving by creating or checking tasks with
create_task. Assign a follow-up and set a deadline, all without leaving your chat interface. - Get immediate customer context. Use
list_contactsorlist_companiesto pull up relevant details about any client right away, saving multiple clicks in the CRM. - Manage cash flow visibility by listing quotes and orders. The agent uses
list_quotationsandlist_ordersto give you a real-time view of potential revenue. - Simplify expense tracking. Rather than digging through manual reports, simply ask your agent to list all expenses using
list_expensesfor rapid review.
Real-World Use Cases
Need to reconcile Q3 billing data
A finance manager needs to know the total outstanding amount and how many invoices are overdue. They ask their agent, which then calls list_invoices and processes the results into a simple summary.
Onboarding a new client account
A sales rep needs to check if TechCorp has existing records and active tasks before sending a proposal. They ask their agent, which uses list_companies and get_company to pull all relevant history.
Planning quarterly budget reviews
The CFO needs an overview of all spending categories. Instead of running reports, they use the MCP to ask for a list of expenses via list_expenses, getting instant data points.
Checking project status before a call
An ops manager has a call with a client and needs to know if any tasks are blocked or if orders were placed last week. They use the MCP to check both list_tasks and list_orders simultaneously.
The Tradeoffs
Trying to find a single client record
The user tries to ask, 'What is TechCorp's info?' but doesn't specify the company name. The system fails because it needs a targeted search.
→
Always use list_companies first to confirm the correct ID, then pass that ID into get_company. This ensures the agent retrieves the precise set of data you need.
Asking for a general financial summary
The user asks, 'What is my business health?' The agent can't answer because it needs specific parameters to know which documents to check.
→
Break the request down. Ask separately: 'List all invoices' and then 'list_quotations'. This forces the agent to use precise tools like list_invoices.
Mixing up contacts and companies
The user asks, 'Show me TechCorp’s emails,' but only calls a general list tool. The system might return dozens of unrelated records.
→
Use get_company first to pull the core record, then ask for contact details; this scopes the search using company data.
When It Fits, When It Doesn't
Use this MCP if your primary pain point is navigating and consolidating operational data from multiple siloed areas—specifically finance (invoices, expenses), CRM (contacts, companies), and project management (tasks, orders). Don't use it if you are trying to analyze unstructured text or generate creative content; your agent needs structured data inputs. If you just need a list of products, list_products works fine, but if you need to see how those products relate to active client quotes, this MCP is necessary.
Common Questions About Axonaut MCP
How do I use `list_invoices` with specific date ranges? +
You simply tell your agent, 'List all invoices from last month.' The MCP interprets the time frame and runs the necessary tool call for you.
`list_contacts` vs. `get_company`: What's the difference? +
list_contacts gives you a general roster of people. Use get_company when you have an ID and need to pull all specific, deep records associated with one company.
Can I track tasks using `list_tasks`? +
Yes. You can use list_tasks to see your current backlog or use create_task if you need to assign a new follow-up item for the team.
What data does `list_quotations` provide? +
list_quotations provides an overview of all estimates, showing their status and who they are associated with. It's perfect for pre-sales tracking.
If I use `get_account_check`, what kind of user context data can my agent retrieve? +
The tool verifies your connection and retrieves current system context. It provides details like the active user ID and general account status, which confirms that your AI client has authenticated access to Axonaut.
How do I filter `list_invoices` results by a specific project? +
You can scope the list operation using the associated Project ID. Passing this parameter limits the returned invoices only to those linked directly to that single, active project.
What happens if I try to use `list_companies` and hit a rate limit? +
The system will return a specific API error code indicating throttling. You must implement an exponential backoff wait period before retrying the listing operation to prevent connection failure.
Does `create_task` automatically assign due dates or do I have to specify them? +
You must explicitly include a deadline in your request payload. If no date is provided, the task will be created without an automatic due date and remain pending assignment.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.