ProofHub MCP for AI. Manage tasks, audit time logs, and check project files instantly.
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ProofHub lets your AI agent manage all project details—tasks, files, notes, discussions, timesheets, and team members. You can list projects, check task status, read documents, and track hours instantly, all without leaving your chat client.
It turns complex board navigation into simple conversation.
What your AI can do
List projects
Lists all active projects managed within the ProofHub instance.
Get project
Retrieves all available details for one specific ProofHub project ID.
List todolists
Finds the correct ID for all to-do lists inside a ProofHub project before creating or listing tasks.
Retrieves a full list of every project in ProofHub.
Pulls the complete, deep-dive details for one specific ProofHub project.
Lists existing tasks or creates brand new work items in a specified to-do list.
Retrieves team member rosters (list_people) and logs all project timesheet entries (list_timesheets).
Lists shared notes/notebooks (list_notes), documents (list_files), and active discussion topics within a project.
Ask an AI about this
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ProofHub MCP Server: 10 Tools for Project Ops
Use these tools to list projects, create tasks, track time logs, read notes, and manage team members all from your AI client.
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 ProofHub on VinkiusList Projects
Lists all active projects managed within the ProofHub instance.
Get Project
Retrieves all available details for one specific ProofHub project ID.
List Todolists
Finds the correct ID for all to-do lists inside a ProofHub project before creating...
List Tasks
Shows a list of existing tasks in a specified to-do list.
Create Task
Adds a new task item into a specified ProofHub to-do list.
List Discussions
Lists every topic and conversation thread within a given ProofHub project.
List Files
Gets a list of all documents and files uploaded to the project.
List People
Provides a roster of every team member in ProofHub and their current status.
List Notes
Lists all shared notebooks or structured documentation within the project.
List Timesheets
Retrieves all logged time entries and hours worked for a project period.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The ProofHub integration is available immediately — no restart needed.
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 ProofHub, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ 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 ProofHub. 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 connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Gathering project status shouldn't require 8 clicks and 4 tabs.
Right now, checking one project's status is an ordeal. You open the board, scroll past the main tasks to find the file repository, then you have to switch to the discussion tab to see if anyone replied to your last question. You end up with three separate screens and a vague sense of what's actually happening.
With this ProofHub MCP Server, that whole process vanishes. You just ask your agent: 'What's the status on Project Alpha?' It runs `get_project` and pulls everything together—the files, the tasks, the recent discussions—and hands you one clean answer.
list_projects MCP Server: Get a full team picture from chat.
Checking availability used to mean opening a calendar and cross-referencing it with the task board. You'd see who was busy, but you wouldn't know if they were actually free or just marked 'busy' for the day.
Now, your agent runs `list_people`. It gives you a live roster of everyone on the team, including their current status and availability, all without leaving your chat. You instantly see who can take that task.
What your AI can actually do with this
ProofHub's MCP Server lets your AI agent manage every little thing in a project without you having to click through twelve different dashboards. You just talk to it. It takes all that clunky board navigation and turns it into simple conversation, pulling data directly from ProofHub.
Project Scope & Overview
You can grab a full list of every active job site with list_projects, which shows you what's running right now. If you know the ID for one specific project, get_project pulls all the deep-dive metadata—it's the full scoop on that single project. You’ll never have to guess what a project is about because your agent can pull everything up.
Tasks and To-Do Management
When you need to manage work items, it starts with finding the right list. list_todolists gives you the exact ID for every to-do list inside a project, so you don't mess up your commands. Once you have that, you can use list_tasks to see exactly what tasks are pending in a specific to-do list.
If someone forgets something or needs a new chore dumped on them, running create_task adds the brand new task item directly into that specified ProofHub list.
Team Status and Time Tracking
Want to know who's actually working? Running list_people gives you a whole roster of every team member in ProofHub and what their current status is. You can audit hours logged across the board by calling list_timesheets, which pulls all project time entries for any given period.
This keeps everyone accountable, straight up.
Reviewing Information Resources
When you need to catch up on details, your agent covers all the bases. It'll list every topic and conversation thread in a project using list_discussions, so you don't miss a single comment. If someone dropped files, list_files gives you a full inventory of all uploaded documents. For structured knowledge—like shared notebooks or official documentation—list_notes lists everything in that section.
You’re not searching folders; the data just shows up.
019d75fa-727b-72b5-9656-bcdcde1f0594 
Here's how it actually works
The bottom line is you get to talk to your project management system instead of clicking through its interface.
First, you connect your AI client (Claude, Cursor, etc.) to the ProofHub server and provide your API credentials.
Next, you simply prompt the agent. Example: 'List all projects for Q3 and check who worked on them.'
The agent executes multiple tools—like list_projects then list_people—and compiles a single, conversational answer with the data.
Who is this actually for?
This is for any professional whose job involves coordinating multiple moving parts: tracking progress across different departments, verifying who did what, and keeping the team in sync without constant meetings. It’s for the person tired of switching between Jira, Slack, and Google Docs just to get a status update.
Checks project progress by running list_tasks and cross-referencing active projects using get_project, keeping stakeholders informed without manual data gathering.
Audits team capacity by calling list_people to see who's free, then verifies resource allocation by checking list_timesheets for the week.
Gathers comprehensive requirements by listing all project discussions (list_discussions) and reviewing linked files using list_files to build reports.
What Changes When You Connect
Audit team hours in seconds by running list_timesheets. You skip the manual spreadsheet checks and get a real-time view of logged work for any project.
Know exactly what needs doing. Use list_todolists to find the right list ID, then run list_tasks to see all pending items without digging through board filters.
Eliminate status update emails. Instead, ask your agent to run get_project and pull metadata for a full overview of scope, tasks, and owners in one prompt.
Never lose context again. Your AI client can read discussions (list_discussions) alongside shared files (list_files), giving you the conversation history and supporting documentation simultaneously.
Streamline onboarding. You can instantly list all team members using list_people, getting a full roster and current status without visiting an HR dashboard.
See it in action
The Project Kickoff Review
A PM needs to know the project scope before presenting it. They ask their agent to run list_projects first, then specify one ID and call get_project. The agent instantly compiles all metadata—task counts, file links, and overall status—into a single summary for the meeting.
End-of-Week Payroll Audit
A Team Lead needs to verify who logged hours against which client. They prompt their agent with 'Show me all timesheets for Project X.' The tool runs list_timesheets, providing a structured, date-by-date breakdown of every person's recorded time.
Quick Task Assignment
A team member realizes they need to add an item but can't remember the list ID. They ask their agent to run list_todolists first, confirming the correct target list. Then, they use create_task, and the task appears instantly in the right place.
Documenting a Decision
A team is discussing feature changes. Instead of having to search through old notes or files, they ask their agent to run list_notes for the project and then list_files. The agent pulls both structured documentation and associated source assets into one view.
The honest tradeoffs
Context-switching chaos
Manually jumping between the 'Tasks' tab, the 'Files' section, and the 'Discussion Board' just to gather status for a client call.
Tell your AI agent: 'Give me an overview of Project X.' The agent handles running get_project, then calls list_tasks and list_files internally, giving you one answer.
The incomplete status check
Only viewing the task list (list_tasks) but missing who is responsible for the task or if related files exist.
Always run get_project first. That gives you the necessary context, and then follow up by calling list_people to assign accountability.
Guessing IDs
Trying to create a task but not knowing if it belongs in 'To-Do List A' or 'To-Do List B', leading to errors.
Always use list_todolists first. It finds the correct list ID, letting you target your new work item exactly with create_task.
When It Fits, When It Doesn't
Use this server if your primary goal is synthesizing data from multiple project sources—if you need to correlate who did what (list_people, list_timesheets) against what was accomplished (list_tasks, get_project). Don't use it if you just need simple, single-point operations (like sending an email or calculating a specific formula). For those specialized tasks, look for dedicated calculators or messaging servers. If your data resides in a completely separate system—say, inventory management—this server won't help; you'll need a different type of integration.
Questions you might have
How do I connect my account? +
Subscribe and provide two things: your ProofHub Domain (the 'mycompany' part of mycompany.proofhub.com) and your API Key. The API Key is somewhat hidden: log into ProofHub, click your profile picture in the bottom-left corner 5 times straight to reveal the 'API access' option, then generate or copy your key.
Can my agent create tasks directly? +
Yes! Just tell your agent the project name (or ID), the to-do list, and the title of the task you want created. It will use the create_task tool to instantly drop that work item into the specified ProofHub list for your team to pick up.
How can I see what the team has been discussing? +
Ask your agent to 'list discussions for project X'. It retrieves all recent discussion topics securely, allowing you to stay in the loop on project blockers, decisions, and brainstorming without opening multiple communication tabs.
Can this server pull files and notes? +
Yes. Beyond tasks, the agent can query both list_files and list_notes for any given project ID. If someone uploaded project requirements or drafted meeting notes, your AI assistant can surface their metadata and context on demand.
How do I use `list_projects` to see a list of all active ProofHub projects? +
It returns a comprehensive list detailing every project in your workspace. You get the Project ID and name immediately, letting your agent identify which area needs attention first.
If I need to audit hours worked, what does `list_timesheets` do? +
This tool fetches every time entry for a specific project. You get the date, hours logged, and who submitted it, which is crucial when reviewing team productivity or payroll data.
How can I check the full roster of users with `list_people`? +
It provides a complete list of all team members within ProofHub. You get their names and active status, letting your agent know who is available to take on new tasks.
Before I use `create_task`, how do I find the necessary list IDs with `list_todolists`? +
This tool lists every active to-do list within a given project. It provides the exact ID you need, preventing errors when your agent attempts to create or modify tasks.
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