Supercharge your AI with Ayanza. Control tasks, projects, and wikis via chat.
Works with every AI agent you already use
…and any MCP-compatible client
Connect to your AI in seconds.
Ayanza MCP gives your AI client full control over team operations. Your agent can manage the entire project lifecycle—from listing and updating tasks to fetching documentation from the wiki—all through natural conversation.
Forget opening dashboards; your agent handles task orchestration, project oversight, and knowledge retrieval instantly.
What your AI can do
Create task
Automatically generates a new task record in the Ayanza platform.
Delete task
Removes an existing task from your Ayanza workspace.
Get me
Retrieves details about the user currently authenticated to the system.
Your agent handles the full lifecycle of a task, letting you list, create, update, or delete records within Ayanza.
You can retrieve an overview of all projects or drill down into specific details to track progress and milestones.
The agent lists available wiki pages so you can quickly find shared guides, tech specifications, or marketing strategies.
You retrieve a list of all users in the Ayanza workspace to map out who's working on what.
Ask an AI about this
Compatible AI Apps
OAuth 2.0 CompatibleWaiting for input…
Ayanza: 10 Tools for Project Management
These tools allow your agent to interact with every core function of Ayanza, letting you manage tasks, projects, users, and knowledge bases through direct API calls.
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 Ayanza on VinkiusCreate Task
Automatically generates a new task record in the Ayanza platform.
Delete Task
Removes an existing task from your Ayanza workspace.
Get Me
Retrieves details about the user currently authenticated to the system.
Get Project
Pulls all project details for a specific Ayanza project ID.
Get Task
Provides comprehensive data on one specific task in Ayanza.
List Projects
Lists all active projects available within your Ayanza account.
List Tasks
Retrieves a list of tasks across the entire workspace.
List Users
Lists all registered users and team members in your Ayanza workspace.
List Wiki Pages
Displays a list of available knowledge articles and wiki pages.
Update Task
Modifies the status or description fields of an existing Ayanza task.
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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.
Today, status updates feel like navigating nested dashboards.
Right now, checking project health means context switching. You open the main dashboard to see milestones, then click into a secondary tab to view related tasks. If you need documentation for that task, you leave Ayanza entirely and switch to the wiki browser just to find the right guide. It's three different systems, four clicks deep, and half of it is copy-pasting.
With this MCP, the process collapses into conversation. You simply ask your agent: 'What are the next steps for Project Falcon?' The system runs `get_project`, pulls related tasks via `list_tasks`, and even fetches supporting documentation from the wiki, giving you one cohesive answer without leaving your chat client.
Ayanza MCP Gives You Full Task Lifecycle Control
The biggest manual step that disappears is the need to open a task list just to verify status. Instead of clicking 'View' on your dashboard and then manually changing the status, you can tell your agent: 'Mark Task ABC as complete.' The MCP handles the `update_task` call directly.
This isn't just better; it fundamentally changes how fast you work. You move from a multi-step, high-friction process to an immediate conversational action. Your workflow is now dictated by conversation, not by UI architecture.
What your AI can actually do with this
This MCP lets you treat Ayanza like an extension of your chat client. You don't need to learn a new dashboard interface; you just talk to it. Your agent gets the power to navigate complex workflows: it can list all projects, pull details on a specific task, or even check who is assigned to what.
It acts as a digital coordinator for your workspace. The whole thing runs through Vinkius, so once you connect your preferred AI client, you gain access to this tooling alongside thousands of others. You use natural language to ask the system to update statuses, create new tasks, or pull shared knowledge from team wikis.
It’s about giving your agent enough context that it can actually perform work for you.
019d7557-6f53-713c-bfb6-ca9058d6e0a6 Here's how it actually works
The bottom line is that you talk to it once, and the MCP handles connecting to Ayanza's underlying system architecture.
Subscribe to this MCP and enter your Ayanza API Token.
Connect your AI client (Claude, Cursor, etc.) through the Vinkius platform.
Ask your agent a natural language question, like 'List all tasks for Project X,' and receive immediate, actionable data.
Who is this actually for?
This is for anyone drowning in context switches. It targets project managers who spend hours manually gathering status reports; engineering leads who need quick access to technical docs; and operations analysts who constantly clean up stale or outdated records.
Running a weekly sync where you check the status of 20 different tasks across five separate projects.
Needing to pull technical specs from the wiki and assign follow-up tasks in Ayanza without leaving their IDE.
Maintaining workspace cleanliness by identifying and removing outdated projects or stale tasks across different areas.
What Changes When You Connect
Stop context switching. Instead of opening Ayanza, navigating to the project view, then going to the wiki, you just ask your agent for what you need. It handles all those clicks behind the scenes.
Instantly audit team structure using list_users. You get a clear breakdown of who is assigned to which projects without needing to manually cross-reference multiple dashboards.
Keep project records clean by running delete_task or update_task. Your agent lets you remove stale tasks or change their status in natural language, keeping the data accurate.
Never lose context again. Need a technical guide? Use list_wiki_pages to check documentation instantly and pull relevant information into your conversation thread.
Get project snapshots effortlessly. You can use list_projects followed by get_project to get a summary of the entire initiative's status, all from one prompt.
See it in action
The Weekly Status Report
A Project Manager needs to know if three key deliverables are on track. Instead of manually opening three different project boards and compiling the data, they ask their agent: 'Show me the status for Alpha, Beta, and Gamma projects.' The MCP runs list_projects then aggregates the results from multiple calls to give an instant summary.
Finding Technical Requirements
An Engineering Lead needs a specific API endpoint definition. They ask their agent: 'What is the authentication flow for the payment service?' The MCP runs list_wiki_pages and retrieves the necessary information from the documentation.
Team Cleanup Initiative
An Operations Analyst notices several projects are paused but not marked as such. They tell their agent: 'Review all tasks for Project X, and delete any that haven't been touched in 90 days.' The MCP uses list_tasks then executes delete_task to clean up the backlog.
New Team Onboarding
A new hire needs access details for a specific client. They ask their agent: 'Who is the main contact and what are the key project milestones?' The MCP uses list_users to find contacts, then calls get_task to retrieve current milestone dates.
The honest tradeoffs
Manual data aggregation
The user opens the Ayanza dashboard, manually copies a status update from one widget, switches apps, and pastes it into an email draft.
Don't copy-paste. Use your agent to ask for the summary directly: 'Summarize all tasks related to Q4 goals.' This uses list_tasks or get_project and gets the data ready for conversation.
Overlooking user roles
The user assumes that because they can see a project name, their agent knows who owns it. They get vague responses.
Always check team structure first by running list_users. This gives your agent the necessary context to assign tasks or identify ownership correctly.
Attempting complex write operations without checking dependencies
The user tries to update a task status, but the project is actually marked as 'Archived' and they don't know why.
First, run get_project to validate the current state of the project. Then, use update_task with all necessary context.
When It Fits, When It Doesn't
Use this MCP if your workflow involves status checks, documentation lookups, or simple task modifications within Ayanza. Specifically, if you need to run a sequence like 'List projects' -> 'Get project details' -> 'Update tasks,' this is the tool for you. Do not use it if you are building highly customized forms that require external data validation (like checking against an HR system) or if your process involves complex document generation outside of Ayanza's wiki structure. For those cases, look at a dedicated API connector type instead.
Questions you might have
How do I get all the projects using the Ayanza MCP? +
You use the list_projects tool to retrieve every active project name and status. This gives you a clear, immediate inventory of everything in your workspace.
Can I update tasks with the Ayanza MCP? What do I need? +
Yes, use update_task. You must provide the task's unique ID and specify what you want to change (e.g., status or description) so the system knows exactly which record to modify.
What if I need a team member's details using Ayanza MCP? +
Run the list_users tool. This provides a structured list of every user in your workspace, allowing you to check roles and permissions without navigating the user directory.
Does the Ayanza MCP help me find documentation? +
Yes, use list_wiki_pages. It displays all available knowledge base articles. From there, your agent can read or summarize specific pages for you.
How do I check my current user information using the Ayanza MCP's get_me tool? +
Yes, running get_me retrieves your authenticated user details. This is useful for confirming which team member or service account your agent is acting on behalf of before making changes.
What is the process for deleting an old entry using the Ayanza MCP's delete_task command? +
The delete_task tool removes tasks, but you must provide the task ID and confirm the action. It’s best used when cleaning up outdated or erroneous project items.
What if I need deep details on a single project using the Ayanza MCP? +
You use get_project, which requires a specific Project ID. This tool provides a comprehensive data view that goes beyond simply listing the project name or status.
How do I initiate a new task within my workspace using the Ayanza MCP? +
To create a task, you use the create_task function. You'll need to supply at least a title and optionally define the project or assignee when calling this tool.
Can my AI agent create tasks in specific Ayanza projects? +
Yes! Your agent can list all projects to find the correct ID and then create tasks directly within that project context.
Is it possible to recover deleted tasks via the AI agent? +
Currently, the MCP server supports the deletion of tasks, but recovery must be handled directly within the Ayanza web interface.
Can the agent access private wiki pages? +
The AI agent can only access wiki pages that are visible to the user associated with the provided API token.
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