GitScrum MCP for AI. Manage every project, task, and workflow in one chat.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
GitScrum manages your entire organizational structure inside GitScrum. Use this MCP to list workspaces, create new projects, configure Kanban workflows, or update labels—all by asking your AI client questions.
You can map out complex project backbones and audit team progress without ever leaving your chat window.
What your AI can do
List labels
Lists all available labels associated with a given project.
Get me
Retrieves the profile information of the authenticated user.
List project members
Retrieves the full list of team members assigned to an active project.
List all workspaces and retrieve details for every project within those spaces.
Create new projects from scratch or fetch full metadata, including members and settings.
View existing Kanban column definitions and manage project workflows using templates.
Find specific tasks by UUID or list every team member assigned to a given project.
List, create, and update color-coded labels to keep track of different work types across projects.
Ask an AI about this
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GitScrum: 16 Tools for Project Management
This collection of tools allows you to perform every management action in GitScrum—from listing all workspaces to getting detailed task statuses—all through natural language prompts.
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 GitScrum on VinkiusList Labels
Lists all available labels associated with a given project.
Get Me
Retrieves the profile information of the authenticated user.
List Project Members
Retrieves the full list of team members assigned to an active project.
My Role
Gets the user's specific role and permissions within the current workspace.
Create Project
Makes a brand new project within GitScrum.
Find Project
Locates and pulls details for a specific project by its name.
Get Project
Gets detailed information about a specific project.
List Projects
Shows all projects contained within a specific workspace.
Project Stats
Calculates and returns key statistics for a given project.
Get Task
Fetches all details for a task using its unique UUID.
List Tasks
Filters and lists tasks in a project based on their status (To Do, In Progress...
List Workflows
Lists all available Kanban column definitions for a project.
Create Workspace
Sets up an entirely new organizational workspace.
Get Workspace
Retrieves the full details of a specific workspace.
List Workspaces
Retrieves an exhaustive list of every accessible GitScrum workspace.
Workspace Stats
Gathers overall usage metrics and data points for an entire workspace.
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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Start with GitScrum, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
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- Works with Claude, ChatGPT, Cursor, and more
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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by GitScrum. 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 16 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
The struggle of context switching across dashboards
Today, getting an overview means jumping between tabs. You open the workspace dashboard for the 'Design Studio,' then switch to the project board for 'Mobile App v2.' To check task status, you click into a third tab. If you need to audit five different projects, you're clicking through five separate sets of dashboards and manually comparing labels and member lists.
With this MCP, your agent handles all that switching behind the scenes. You ask it for project stats or team members, and it runs the necessary calls (`project_stats`, `list_project_members`) instantly. It delivers a single, summarized answer without you touching a dashboard.
The GitScrum MCP gives you full Project Lifecycle Management
You no longer have to manually create the necessary project structure every time. Instead of logging in and clicking 'New Board,' your agent runs `create_project` or `create_workspace`. It handles the scaffolding, ensuring the new board has default workflows and is ready for work.
The result is a massive speed boost. You initiate an entire project—from the workspace level down to task status—using natural language prompts. That’s how fast it should be.
What your AI can actually do with this
This connection lets you treat your entire organization's workflow management system like a simple database query. Instead of navigating through multiple dashboards, clicking into separate workspace views, or manually auditing status across different tabs, you just talk to it. Your agent handles the context switching for you. You can ask it to list all available workspaces and then immediately pull up every project within that space, giving you an instant map of what's going on.
Want to set up a new initiative? Just prompt your agent; it creates the whole structure—the workspace, the project, and the default workflow columns—in one go. If you find yourself wishing your AI client could connect to more services like this, check out Vinkius, the #1 MCP Catalog, where you can link up dozens of tools.
019d8441-270c-72d1-a646-a766e0ae4e1b Here's how it actually works
The bottom line is that your AI agent becomes the single command center for managing GitScrum’s entire organizational backbone.
Subscribe to the GitScrum integration via Vinkius Marketplace.
Generate a personal API token in GitScrum Settings and provide it, along with your company slug, to your AI client.
Start asking your agent natural language questions like 'List all projects in my Design Studio workspace,' or 'Create a new project for Mobile App v3.'
Who is this actually for?
This MCP is built for technical managers and leads who spend too much time switching between project management tools just to get a status update. If you're tired of manual audits, this connection gives your AI client the full scope of your organization.
Needs to quickly audit complex workspace structures and project configurations across multiple teams without having to click through separate admin dashboards.
Sets up new feature projects, assigns initial workflows, and organizes labels in seconds using only natural language prompts.
Inspects project settings and member lists during planning meetings to verify scope details or check current task status.
What Changes When You Connect
Audit the whole structure instantly. Instead of manually checking dashboards, ask your agent to run list_workspaces and then list_projects to get a full inventory of all initiatives across the company.
Eliminate setup bottlenecks. Need a new project? Use create_project or create_workspace, and the system builds out the default workflow columns so you can start working immediately.
Get crystal clear on scope. Instead of guessing, use list_tasks to filter by status (like 'To Do' or 'In Progress') and see exactly what work is blocked or waiting for review.
Deep dive into team details. Need a headcount? Your agent can call list_project_members so you don't have to manually check roles across multiple tabs.
Understand the whole picture. Run workspace_stats to get high-level metrics, then use project_stats to drill down and see exactly which project is driving most of the current workload.
See it in action
The Quarterly Audit
An Engineering Manager needs to know how many active projects exist across all departments. They ask their agent to run list_workspaces followed by list_projects. The agent compiles the data and gives a single, actionable report, saving hours of manual navigation.
New Feature Kickoff
A Team Lead starts a new initiative. They prompt their agent to run create_project for 'Mobile App v3'. The agent confirms the creation and automatically sets up the default workflow columns, allowing them to add tasks immediately.
Resource Bottleneck Check
A Product Developer needs to know who is assigned to a critical project. They ask the agent to use list_project_members and instantly get the full team roster, skipping manual lookups.
Status Report Generation
An executive asks for all incomplete work in the 'Web App' line. The agent runs list_tasks filtered by status (e.g., 'In Progress') and delivers a clean, summarized list of tasks needing attention.
The honest tradeoffs
Checking scope manually
The user tries to check task status by opening the project dashboard and clicking through each column (To Do, In Progress, Done) one by one. This takes forever.
Just tell your agent to use list_tasks and specify the status filter you need. It delivers the exact list of tasks without any clicks.
Confusing project structure
The user can't remember which workspace a specific team lives in, so they wander through unrelated dashboards trying to find the right folder.
Start by asking your agent to run list_workspaces. This gives you an immediate overview of every available context point.
Trying to create everything at once
The user tries to combine creating a workspace, adding 5 labels, and setting up the first project in one massive prompt, which often results in partial failures.
Break it down. First, use create_workspace. Then, use list_labels or manually create them. Finally, run create_project within that new space.
When It Fits, When It Doesn't
Use this MCP if your pain point is organizational visibility—when you need to audit the structure, lifecycle, and current status of multiple projects across different teams. You should use it when you need a single view of project metadata or task lists. Don't use it if you only need basic contact information; for that, simply using get_me is enough. Also, if your process relies on complex external integrations (like billing or CRM data), this MCP won't help—you'll need to connect a different service type via Vinkius.
Questions you might have
How do I find all available projects in GitScrum using list_projects? +
You tell your agent which workspace you're interested in, and then ask it to use list_projects. It returns a filtered list of every project within that specific organizational container.
Does the GitScrum MCP support getting task details by UUID? +
Yes. You can provide the unique ID (UUID) and ask your agent to use get_task. This gives you immediate, comprehensive data on that single piece of work.
Can I check my role in GitScrum using my_role? +
Absolutely. Just prompt the agent with 'What is my role?' and it executes my_role, telling you exactly what permissions your account has within that workspace.
How do I get overall statistics for all workspaces in GitScrum? +
You first ask it to run list_workspaces to see everything. Then, if you want metrics, you prompt the agent with workspace_stats, which aggregates the top-level data.
What does using the get_me tool verify about my connection setup? +
Yes, it confirms your login status. Running get_me pulls and displays the authenticated user's profile details across all connected workspaces. This is a quick way to validate that your API token and company slug are working correctly before running complex tasks.
If I need to separate teams, how does create_workspace help me? +
It establishes a new organizational container. Using create_workspace generates an entirely isolated environment for a new team or client group. This keeps data clean and prevents cross-pollination between different work streams.
How can I check who is on a project team using list_project_members? +
It retrieves the full list of users assigned to that specific project. This function provides member names and their associated roles, letting you quickly audit the entire team roster without manual checks.
How do I see every workspace available in GitScrum using list_workspaces? +
It lists all organizational workspaces attached to your account. This function shows you the top-level structure, giving you a clean overview of every project container you have access to manage.
Can my AI agent list all workspaces and drill into specific project details? +
Absolutely. Use list_workspaces to browse all your organizational workspaces, then list_projects to see every project within a workspace. Your agent returns full metadata including member counts, settings, and creation dates — all without leaving your conversation.
I need to set up a new project with custom workflows and labels — can I do it all conversationally? +
Yes. Tell your agent to create the project, then ask it to configure the workflow columns and create color-coded labels. The agent chains create_project, list_workflows, and create_label tools automatically to set up your board exactly as you describe it.
Does this integration let me modify or delete projects? +
This core integration focuses on workspace exploration, project creation, and configuration management — including workflows and labels. For task-level operations like CRUD, subtasks, and checklists, use the dedicated GitScrum Tasks integration. All actions respect your GitScrum account permissions.
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