Zeev MCP. Manage entire processes, from form fill to final approval.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Zeev MCP gives your AI agent control over complex business workflows. It digitizes processes, letting you create structured requests, manage approvals, and track every single task—all without chasing down paper forms or deciphering email threads.
What your AI agents can do
Cancel request
Stops an active workflow request immediately.
Create request
Starts a brand new process workflow instance in Zeev.
Delegate task
Assigns the current task to another user within the defined team structure.
Use custom forms to kick off any structured workflow instantly.
See a real-time list of all incomplete steps waiting for team action or review.
Complete actions, make decisions, or cancel the entire process request within your chat agent.
Assign specific tasks in a workflow to different team members for accountability.
Get full information on any defined process or specific request instance.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Zeev: 11 Workflow Management Tools
These tools let you control every stage of a business process, from initiating requests to finalizing tasks and tracking history.
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 Zeev on Vinkius019dd18dcancel request
Stops an active workflow request immediately.
019dd18dcreate request
Starts a brand new process workflow instance in Zeev.
019dd18ddelegate task
Assigns the current task to another user within the defined team structure.
019dd18dfinish task
Marks a specific workflow step as complete and finalized by the user.
019dd18dget me
Retrieves basic information about the current user accessing the MCP.
019dd18dget process
Fetches the detailed definition of a specific, defined process flow.
019dd18dget request
Retrieves all current details about one particular workflow request instance.
019dd18dget task
Gets the full context and requirements for a single task within a process.
019dd18dlist processes
Shows all available, predefined processes that your organization can run.
019dd18dlist requests
Retrieves a list of every running or completed workflow request instance.
019dd18dlist tasks
Provides an overview of all tasks that are currently waiting for action across the system.
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 Zeev, 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 Zeev. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The headache of paper trails and email approvals.
Today, getting a simple document approved means filling out forms, printing them, signing them, scanning them back into a PDF, and emailing the file to five different people. Someone inevitably loses the original, or one person forgets to CC someone else, leaving the whole process stuck in 'waiting' limbo for days.
With this MCP, you tell your agent what needs approving, and it builds the digital chain automatically. You get a real-time status view of where the request sits and exactly who owns the next required action.
Zeev MCP: Complete task tracking and delegation
You eliminate manual status checks, the need to forward emails, and the risk of lost signatures. The system automatically tracks the process history every time a decision is made.
The difference is control. You're running an automated workflow that forces accountability and keeps data organized within a single digital chain.
What you can do with this MCP connector
If your team relies on physical paperwork or endless email chains for simple tasks, this connector changes that. Zeev turns those messy manual steps into digital workflows that your agent can handle end-to-end. You can initiate a new request using custom data—like an expense report or contract review—and then the agent manages the entire approval chain until it's done.
It tracks who needs to act, what they need to approve, and keeps a full history of decisions made along the way. The real value comes when you combine this with other services; for instance, chaining Zeev with a CRM MCP lets your agent not only manage the internal process but also automatically update the client record once approval is granted.
When you run these tools through Vinkius, credentials pass through a zero-trust proxy, meaning your keys never sit on disk and every action generates a cryptographically signed audit trail. You just connect it once from your AI client, and it handles the complexity.
019dd18d-a4db-728c-b6de-39041a861a25 
How Zeev MCP Works
- 1 Grab your Zeev domain and API Key from your profile settings.
- 2 Plug those credentials into the Vinkius platform.
- 3 Start talking to your Zeev agent in any MCP-compatible client to run workflows.
The bottom line is, you talk to your AI agent like a person and tell it exactly what process needs managing; the agent handles the rest of the clicks and tracking.
Who Is Zeev MCP For?
Process managers who are tired of chasing down signatures across departments. Operations teams needing quick, reliable task execution that doesn't rely on manual status updates.
Uses the agent to manage approvals for operational requests and track which steps failed or stalled.
Defines new process requirements by using the MCP to test workflow logic before building it into dedicated software.
Connects Zeev to other systems, allowing automated data transfer once a specific stage of the process is finalized.
What Changes When You Connect
- Never miss a step or a signature. Instead of manually checking status dashboards, you can ask your agent to list pending tasks or get details on any specific process request, keeping everyone in the loop.
- Start anything instantly. Need an expense report filed? Use the tool to kick off a new process request with custom data, bypassing manual form filling entirely.
- Accountability built-in. If someone needs to act but is out of office, you can use the MCP to delegate tasks directly to a teammate, ensuring zero delays in critical paths.
- Complete actions with confidence. When work is done, finish_task allows your agent to formally mark it complete, moving the request forward and updating the process history automatically.
- Full visibility across the board. You can list all running requests or view specific process definitions, giving you a single source of truth for complex business rules.
Real-World Use Cases
Approving an expense report
Instead of emailing a PDF to three managers, ask the agent to start a new 'Expense Report' process. The agent automatically routes it through the correct chain, and you can finish_task with your approval decision when prompted.
Finding out who owns a stalled contract
When a request stalls, use list_tasks to see exactly what's waiting. You then ask the agent to get details on that specific task and find out which user needs to finish_task.
Training new hires on workflows
A new employee can use the MCP to list available processes, see what the core definitions are, and understand the required steps for any department function immediately.
The Tradeoffs
Checking status via emails
Sending out 'Are you done with task X?' emails to multiple people until someone replies. This wastes time and creates a massive thread.
→ Use the agent to list tasks or get_request details. The agent aggregates all that information into one chat response, telling you exactly who is blocked and why.
Copying data between systems
Manually copying the request ID from Zeev into a ticketing system because they don't talk to each other.
→ Connect this MCP with another service via Vinkius. The agent can read the process details and then pass that structured data to your second service automatically.
Assuming completion
Thinking a request is done just because one person replied, without formal sign-off.
→ Always use finish_task. This formally marks the step complete and advances the process through its required stages.
When It Fits, When It Doesn't
Use this MCP if your core problem involves structured workflows—things that must pass through specific steps, approvals, or forms in a defined order. If you need to know 'who does what' and 'in what sequence,' this is for you. Don't use it, however, if the task flow is unstructured, highly variable, or depends on real-time external data sources (like live stock prices). For those cases, look at an MCP that specializes in raw data retrieval or complex calculations; Zeev manages steps, not volatile information.
Common Questions About Zeev MCP
How do I start a new request using the Zeev MCP? +
You use create_request to kick off a brand new process. You'll need to specify which type of workflow you want, and the agent will guide you through filling out the initial custom data.
Can I see all my pending tasks with Zeev MCP? +
Yes, list_tasks pulls a summary of every task waiting across your workflows. It's much faster than checking multiple dashboards manually.
What if a process gets stuck? How do I fix it using the Zeev MCP? +
You first use list_requests to find the stalled workflow ID, then get_task gives you context on why it's blocked. You can then delegate_task to push it back into motion.
Is canceling a request possible with Zeev MCP? +
Yes, cancel_request lets you shut down an active process entirely if the underlying business need changes or is found to be incorrect.
How do I check what types of workflows are available in Zeev using the `list_processes` tool? +
The list_processes tool shows every defined workflow template. This lets you see all possible process definitions before starting a new request, ensuring you use the correct format for your needs.
If I need to hand off work or change ownership of a task, how does the `delegate_task` tool help? +
The delegate_task tool shifts accountability from one team member to another. You specify the new owner and can set follow-up dates, keeping your workflow moving forward without interruption.
What details do I get when I use the `get_request` tool for a specific process? +
You retrieve the complete history of that process instance. This includes every step taken, who approved it, and all associated data points, giving you a full audit trail.
After reviewing a task, what information is required when using the `finish_task` tool? +
You must provide both a final decision and a supporting rationale. This ensures that the workflow isn't just marked complete, but also has a clear record of why it reached its conclusion.
Can I start any process using the AI agent? +
Yes, as long as you have the process ID and the required initial form data.
Is it possible to delegate tasks to specific users? +
Yes, you can use the delegate_task tool by providing the Task ID and the target User ID.
Can I see the history of a request? +
Yes, the get_request tool provides details including the current status and history of the instance.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.