Flow MCP. Manage projects and tasks without leaving your chat.
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…and any MCP-compatible client
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Flow MCP Server manages projects, tasks, and team communication within your workspace. Use it to list top-level workspaces, retrieve project metadata, create new tasks, update task statuses, and add comments to discussions.
It lets your AI client coordinate work, track progress, and keep teams informed directly from natural conversation.
What your AI agents can do
Add task comment
Posts a new comment to a specific task's discussion thread.
Create task
Creates a brand new task in a specified location.
Get project
Retrieves detailed information and metadata for a single project.
Retrieves a list of all top-level workspaces and the specific projects contained within them.
Allows the agent to create new tasks, update existing task statuses, and pull detailed metadata for any task.
Lists all members and teams within a workspace, and shows the task lists (groups) belonging to a project.
Lists all task discussions and lets the agent add new comments to keep the project timeline current.
Creates new tasks with a title and description within a specific project or list.
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Supported MCP Clients
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019d759badd task comment
Posts a new comment to a specific task's discussion thread.
019d759bcreate task
Creates a brand new task in a specified location.
019d759bget project
Retrieves detailed information and metadata for a single project.
019d759bget task
Gets all specific details and metadata for one task.
019d759blist projects
Lists all available projects within the current workspace.
019d759blist task comments
Retrieves the full discussion history (comments) for a given task.
019d759blist task lists
Shows all the specific task group lists that exist inside a project.
019d759blist tasks
Lists all tasks across a workspace or project, optionally filtering by status.
019d759blist workspace members
Lists every individual team member belonging to the current workspace.
019d759blist workspace teams
Lists all organized teams (e.g., Design, Dev) within the current workspace.
019d759blist workspaces
Retrieves a list of all top-level workspaces you have access to.
019d759bupdate task
Changes the status or details of an existing task.
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 Flow, 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
Flow MCP Server lets your AI client manage projects, tasks, and team comms. You can list all your top-level workspaces and the specific projects inside 'list_workspaces' and 'list_projects'. You can also see every team member in the workspace and all organized teams with 'list_workspace_members' and 'list_workspace_teams' respectively. When you're ready to manage work, your AI client can list all available tasks across a workspace or project using 'list_tasks', or pull detailed info for one task with 'get_task'.
You can even see all the task groups inside a project with 'list_task_lists'. Need to start work? Your agent can create a brand new task in a specific location using 'create_task' and update an existing task's status or details with 'update_task'. You can also get detailed metadata for a single project with 'get_project'.
When the discussion heats up, your agent can pull the full comment history for a task using 'list_task_comments' or drop a new comment into the discussion thread with 'add_task_comment'.
How Flow MCP Works
- 1 Subscribe to the Flow MCP Server on Vinkius and provide your Flow Personal Access Token.
- 2 Direct your AI agent to the server. You tell the agent what you need—for example, 'List all projects in the Marketing workspace.'
- 3 The agent executes the necessary tools (like
list_projects), processes the data, and gives you a clear, actionable summary in the chat.
The bottom line is that your AI agent treats Flow like a native app, running commands and reporting status changes directly in the chat.
Who Is Flow MCP For?
Project Managers and Software Leads who get tired of jumping between Jira, Slack, and documentation to get a simple status update. If you spend more time coordinating updates than actually doing the work, this is for you. You need a single interface to manage the entire project lifecycle.
Uses the agent to list all projects (list_projects) and quickly check task statuses or update project timelines without opening the main platform.
Automates retrieving task comments and project metadata using the agent, pulling development status directly into the chat environment.
Manages client project timelines and task lists via simple AI prompts, ensuring every client deliverable is tracked and owned.
What Changes When You Connect
- See a full view of every top-level workspace you belong to using
list_workspaces. This gives you immediate context on all your company's operational areas. - Instantly know who's on the team.
list_workspace_memberspulls a full directory, so you don't have to check the separate user management panel. - Keep the project history clean. Use
add_task_commentto post feedback directly to a task, keeping all communication tied to the task record. - Update project status in seconds. Instead of clicking through menus, you use
update_taskto change a task from 'In Progress' to 'Complete' right in the chat. - See all the work groups.
list_task_listsshows you the organized groups within a project, helping you scope out where a specific task needs to live. - Automate status checks. Combining
list_tasksandget_tasklets your agent check the status of 50 items and summarize the overall progress, saving hours of manual tracking.
Real-World Use Cases
Need a project status report for a client meeting.
The client is asking for a summary of the 'Q4 Campaign' project. Instead of logging into Flow, opening the project, listing tasks, and then checking each task's due date, you just ask your agent: 'Get project details for Q4 Campaign.' The agent runs get_project and delivers the full metadata summary immediately.
A developer needs to know who owns a piece of code.
You're working on a tricky bug and need to know who wrote the last comment on 'task_123'. You ask your agent to run list_task_comments. The agent pulls the full discussion history, showing the names and dates of the last contributors, solving the ownership puzzle in one go.
The team needs to sync up on who's working on what.
You want to know which teams are active and who is on them. You prompt the agent to run list_workspace_teams and list_workspace_members. The agent compiles the list of all teams and all members, giving you a clear, actionable roster to send to the team.
A project is stalled and needs immediate action.
You know a task needs changing, but you don't know the exact ID. You run list_tasks to see all open items. You find the task, and then you run update_task to change its status to 'Blocked' and assign it to the right person, getting confirmation right away.
The Tradeoffs
Manual status tracking
Opening the Flow platform, navigating to the project, clicking the 'Tasks' tab, then manually changing the status of 15 tasks, and then sending a screenshot to Slack.
→
Use the agent to run update_task and set the status for all 15 tasks in a single command. The agent confirms the changes immediately, and the record is updated live.
Missing context in conversations
Talking about a task in a meeting and saying, 'We need to change the design mockup.' Later, someone has to remember the task ID, the project name, and the specific list to edit it.
→
Use the agent to get_task first to retrieve the task ID and project context. Then, use add_task_comment to record the required change, ensuring the discussion is permanently linked to the correct task.
Over-relying on visual dashboards
Spending an hour building a custom dashboard in the platform just to see if a project is on track. The dashboard is always slightly out of date.
→
Use list_tasks combined with get_task to pull the most current, real-time status of all tasks directly into the chat. The data comes straight from the source, not a cached view.
When It Fits, When It Doesn't
Use Flow if your team needs to manage the entire project lifecycle—from idea generation to final completion—and you value keeping context in one place. You need to know why something is blocked, not just that it is blocked. Tools like get_task and list_task_comments are key here because they show the full history. Don't use this if your primary need is just a simple to-do list; for that, a standalone task tracking tool is enough. If your core need is complex data transformation (e.g., calculating a risk score based on multiple external data sets), you'll need a dedicated data pipeline tool, not a project management server.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Flow. 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 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
The pain of context switching kills productivity.
Today, tracking a single project's progress is a mess of tabs. You open the project management platform to see the main status. Then you have to switch to Slack to read the latest feedback. If you want to check the team roster, you open a third tab. Everything is siloed, and you end up copying and pasting IDs and status updates between apps.
With the Flow MCP Server, your agent handles it all. You ask it to 'Give me the status of Project X and the latest comments.' It runs `get_project` and `list_task_comments` and gives you one cohesive answer. You don't switch tabs, you just talk to your agent.
Flow MCP Server: Get all project data instantly.
Manually finding out who is on a project involves checking the project settings, then checking the workspace settings, and then cross-referencing the team roster. It takes multiple clicks just to get a name and a role.
Now, you just ask the agent to list workspace members. The agent uses `list_workspace_members` and pulls the complete, accurate roster right into the chat. It's a single query that replaces a dozen clicks.
Common Questions About Flow MCP
How do I use the `create_task` tool with Flow MCP Server? +
You tell your agent to create the task and provide all the necessary details (title, list, project). The agent handles the syntax and runs the tool, confirming the task was created and providing the new task ID.
Does `list_tasks` show tasks from multiple projects? +
It lists tasks across the workspace or project you specify. If you need a full history, you should first use list_projects to narrow down the scope, then use list_tasks on the specific project ID.
Can I use `add_task_comment` to ask a question? +
Yes. You can add a comment that is nothing more than a question. This ensures the question is permanently logged in the task discussion thread, making it visible to the team.
What is the difference between `get_task` and `list_tasks`? +
list_tasks gives you a summary view of many tasks (like a table). get_task gives you the deep, detailed record for one single task, including all its metadata.
How does `update_task` work with Flow MCP Server? +
You instruct the agent to update the task, specifying the ID and the change (e.g., 'Set status to Complete'). The agent executes the tool and confirms the change.
What does `list_workspace_members` show, and how do I get a list of teams? +
It lists all team members in the current workspace. To get teams, you'll need to use the list_workspace_teams tool.
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How do I find the Workspace ID for my Flow account? +
You can use the 'list_workspaces' tool. The agent will retrieve all workspaces you have access to and return their names and unique IDs, which you can then use for other operations.
Can I mark a task as completed using the agent? +
Yes! Use the 'update_task' tool, provide the Task ID, and set the 'status' parameter to 'completed'. The task will be immediately updated in Flow.
How do I see the discussion history for a task? +
Use the 'list_task_comments' tool and provide the Task ID. The agent will retrieve all messages and replies associated with that task, allowing you to catch up on the discussion.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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