Hubstaff MCP. Analyze team time, projects, and activity logs instantly.
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…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Hubstaff connects your entire workforce analytics to your AI agent. Use it to pull detailed time sheets, analyze user activity logs, and query organizational structures from Hubstaff V2.
Get a clear view of who worked on what, when, and for how long—all without logging into the native dashboard.
What your AI agents can do
Get organization
Gets basic parameters for a specific organization.
Get project
Retrieves the full structural details of a single project.
Get user
Fetches detailed information about a targeted user or employee.
Retrieves a list of parent organizations you have access to within Hubstaff.
Fetches a list of staff and employees registered under your Hubstaff account.
Retrieves detailed information for a single, targeted user.
Retrieves a list of active projects linked to a specific organization.
Retrieves the full structure and details for one project.
Retrieves all operational sub-tasks associated with a given project.
Reads explicitly logged or billed time blocks for time tracking and payroll.
Retrieves global organizational activity logs, detailing user actions over time.
Retrieves core parameters and data surrounding an organization.
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Supported MCP Clients
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Hubstaff MCP Server: 9 Tools for Time & Activity Data
Use these tools to retrieve time blocks, organizational structures, user details, and activity logs directly within your AI client.
019d75b4get organization
Gets basic parameters for a specific organization.
019d75b4get project
Retrieves the full structural details of a single project.
019d75b4get user
Fetches detailed information about a targeted user or employee.
019d75b4list activities
Retrieves a global log of all tracked organizational activities.
019d75b4list organizations
Gets a list of all parent organizations you have access to.
019d75b4list projects
Retrieves a list of all active projects within an organization.
019d75b4list tasks
Gets a list of all operational sub-tasks linked to a specific project.
019d75b4list time entries
Reads records of logged or billed time blocks.
019d75b4list users
Retrieves a complete list of all staff and employees under the account.
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 Hubstaff, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ 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
What you can do with this MCP connector
You connect your Hubstaff data to your AI agent. Your agent pulls all your workforce analytics without you having to log into the native dashboard. You get a clear view of who worked on what, when, and for how long. You can start by listing all organizations you have access to.
You can then list all users registered under your account, or get detailed information for a single user. You can list all active projects linked to an organization, or get the full structure and details for one project. For a project, you can list all operational sub-tasks. You can read logged or billed time blocks using list_time_entries.
You can get a global log of all tracked organizational activities using list_activities. You can also use get_organization to get core parameters for a specific organization. You can use list_projects to get a list of all active projects. You can use list_tasks to get a list of all operational sub-tasks associated with a given project.
You can use get_user to fetch detailed information about a targeted user. You can use list_users to retrieve a complete list of all staff and employees. You can use list_organizations to retrieve a list of all parent organizations you have access to. You can use get_project to retrieve the full structural details of a single project.
You can use get_user to fetch detailed information about a targeted user. You can use list_time_entries to read records of logged or billed time blocks.
How Hubstaff MCP Works
- 1 Subscribe to the Hubstaff MCP Server and enter your Personal Access Token (PAT) from Hubstaff V2.
- 2 Tell your AI client what you need (e.g., 'List all projects for the Alpha department').
- 3 The agent calls the specific tool (
list_projects) and presents the structured data in plain text.
The bottom line is that you get Hubstaff data pulled directly into your chat interface, letting your agent run complex queries without needing to log into the Hubstaff website.
Who Is Hubstaff MCP For?
Project Managers who hate switching between the task board and the billing spreadsheet. HR Leaders who need quick, daily views of timesheet activity. Freelancers who need to verify tracked hours without manual exports. Anyone who spends too much time clicking through separate dashboards to build a single picture of team output.
Assembles project reports by fetching project lists, checking task structures, and pulling time entries to summarize billing summaries.
Runs daily queries against user and organization data to generate quick timesheet overviews for payroll or team reviews.
Verifies that tracked time matches billing records by listing activities and reading specific time entries at the command line.
What Changes When You Connect
- Get instant visibility into time allocation. Instead of manually exporting data to see how time was spent, ask your agent to run
list_time_entriesand get a summary of active hours. - Manage the entire workforce structure without clicking tabs. Use
list_organizationsandlist_usersto map out the hierarchy and find specific staff details viaget_user. - Build billing summaries faster. By calling
list_projectsand thenget_project, you pull the necessary project structure and fetch accurate time sheets vialist_time_entries. - Track daily workflow activity. Need to know what happened today?
list_activitiespulls global logs, giving you a snapshot of user actions across the whole organization. - Deep dive into project scope. Instead of guessing what tasks exist, call
list_tasksafter finding a project viaget_projectto get every operational sub-task for review. - Avoid repetitive data gathering. Your agent chains calls—it finds the organization with
list_organizations, then finds the user withget_user, and finally pulls their data, all in one query.
Real-World Use Cases
Auditing a team member's work week
A manager needs to know exactly how John Doe spent his time. He asks his agent to run get_user for John, and then asks for all time blocks using list_time_entries. The agent combines the data to show John's activity across all projects and time logs, solving the manual export problem.
Mapping out a new department structure
The HR lead needs to see all the teams. They run list_organizations to get the parent departments, then use list_users to get all staff, and finally get_user to get detailed roles for each person. The agent builds a complete, queryable organizational map.
Billing for a complex, multi-phase project
A PM needs to verify billable hours. They first run list_projects to find the project ID, then get_project for details, and finally list_tasks to see the component tasks. This sequence provides enough context to run list_time_entries and generate a billing summary.
Investigating suspicious downtime
An operations lead notices low activity. They ask the agent to run list_activities across the whole organization. The agent returns a global log, showing exactly when and by whom activity was logged, pinpointing the source of the gap.
The Tradeoffs
Treating the server as a single API call
Asking the agent, 'Give me all the user, project, and time data.' This vague prompt forces the agent to guess, returning a giant, unusable data dump that mixes everything together.
→
Break it down. Start by listing what you need: 'First, run list_organizations to see available departments. Then, for the ID [X], run list_projects.' This structured approach gives precise results.
Forgetting context dependencies
Trying to run get_project without first running list_projects to get the correct Project ID. The call will fail because the tool needs a specific ID that the agent doesn't have.
→
Always run the listing tool first. If you need a project, call list_projects to get the IDs, then use those IDs in get_project.
Relying on manual data synthesis
Pulling data from list_users, then manually looking up each user in the native dashboard to find their specific role or active tasks.
→
Use get_user to pull all required details in one step. This fetches the user's profile and related data without needing to open a separate tab.
When It Fits, When It Doesn't
Use this server if your workflow requires reading and combining multiple data points from Hubstaff—for example, linking a user's name to a project's billing status, or matching activity logs to a specific organization. It’s ideal for building reports or doing audits. Don't use it if you just need to write data (the tools are read-only). Also, if you only need a simple, single piece of information (like just the list of users), using a dedicated tool like list_users is faster and cleaner than trying to run a complex query. Always use the most specific tool available.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Hubstaff. 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.
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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 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking team time shouldn't feel like a data migration project.
Right now, getting a clear picture of who worked on what takes a painful dance through dashboards. You have to switch between the user list, the project view, and the time sheet tabs, copying IDs and cross-referencing dates just to build one report. It's slow, and you always lose context.
With this MCP server, you ask your agent. It runs `list_users`, finds the relevant user, and then runs `list_time_entries` for that person. The agent brings the full, structured data right into your chat, giving you the answer immediately.
Hubstaff MCP Server: Analyze team time, projects, and activity logs instantly.
The tedious process of exporting user lists, then opening the project dashboard, and finally running a separate report for time tracking vanishes. You no longer need to copy data from one place and paste it into another.
Your AI client handles the sequence. It pulls the list of organizations with `list_organizations`, checks the project structure with `list_projects`, and compiles the whole narrative for you. It's all conversational.
Common Questions About Hubstaff MCP
How do I use the `list_time_entries` tool to get billing data? +
You run list_time_entries and ask the agent to filter the results by date range or project ID. This reads the specific, logged time blocks, giving you the raw data needed for billing reports.
Can I use `list_activities` to check for user actions? +
Yes. Running list_activities pulls global organizational activity logs. You can then ask the agent to filter these logs by a specific user or date range to check who did what.
What is the difference between `list_users` and `get_user`? +
Use list_users when you need a directory—a simple list of all staff names. Use get_user when you need deep details on one specific person, like their department or role.
Does `list_projects` give me all the tasks? +
No. list_projects only gives you a list of active projects. You must follow up by calling list_tasks and providing the project ID to get the operational sub-tasks.
How do I check the organization structure with `list_organizations`? +
Running list_organizations returns all parent organizations. You then use get_organization and the specific ID to pull the detailed parameters for that structure.
What do I use `get_project` for if I only need to check a single project's details? +
The get_project tool retrieves the complete structure for one specific project. You pass the project ID to get details like its associated tasks, billing status, and creation date.
How do I find all the available sub-tasks using `list_tasks`? +
list_tasks pulls operational sub-tasks for a given project ID. It shows every granular step linked to a project, helping you map out the full scope of work.
Can I use `list_time_entries` to find out which users logged time? +
Yes, list_time_entries shows time blocks, and these entries include the user ID who logged the time. You can then cross-reference this data with the user list.
How do I get started? +
Subscribe, enter your API credentials (your generated Hubstaff PAT via User Settings → Personal access tokens), and you're set. No code, no environment files, no postbacks — just connect and audit team activity with natural text.
Can my AI check a single associate's daily activities quickly? +
Yes! Direct your prompt to fetch all logged daily activities (or activities specifically). The agent will query Hubstaff, breaking down the tracking records and formatting them directly so you won't need to manually click through web portals.
How easy is it to gather organization and project specifics? +
It essentially takes seconds explicitly asking 'List my organizations and projects.' The list_projects functionality traverses your environment returning the IDs you need to inspect underlying items.
Is the agent suited to handle multiple large organizational hubs at once? +
Yes! Due to targeted parameter queries (e.g., retrieving timesheets by target organization), HR firms and agencies scaling hundreds of contractors can extract clean textual aggregations pain-free via simple prompts.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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