Zeev MCP Server for CursorGive Cursor instant access to 11 tools to Cancel Request, Create Request, Delegate Task, and more
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
Ask AI about this MCP Server for Cursor
The Zeev MCP Server for Cursor is a standout in the Productivity category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
{
"mcpServers": {
"zeev": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Zeev and 4,000+ MCP Servers from a single visual interface.





* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Zeev MCP Server
What you can do
- List and manage your pending tasks in real-time.
- Start new process requests with custom form data.
- Complete tasks and make decisions directly from your AI agent.
- Delegate tasks to other team members and track process history.
Who is it for?
- Process managers looking for automated workflow control.
- Operations teams needing quick task execution.
- Developers integrating BPM into their AI-driven applications.
Cursor's Agent mode turns Zeev into an in-editor superpower. Ask Cursor to generate code using live data from Zeev and it fetches, processes, and writes. all in a single agentic loop. 11 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
The Zeev MCP Server exposes 11 tools through the Vinkius. Connect it to Cursor in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 Zeev tools available for Cursor
When Cursor connects to Zeev through Vinkius, your AI agent gets direct access to every tool listed below — spanning bpm, workflow-automation, process-management, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Cancel request on Zeev
Cancel an active process request
Create request on Zeev
Start a new process request in Zeev
Delegate task on Zeev
Delegate a task to another user
Finish task on Zeev
Finish/Complete a Zeev task
Get me on Zeev
Get current user information
Get process on Zeev
Get details of a process definition
Get request on Zeev
Get details of a specific process request
Get task on Zeev
Get details of a specific Zeev task
List processes on Zeev
List available process definitions
List requests on Zeev
List process requests (instances) in Zeev
List tasks on Zeev
List pending tasks in Zeev
Connect Zeev to Cursor via MCP
Follow these steps to wire Zeev into Cursor. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using Zeev
Why Use Cursor with the Zeev MCP Server
Cursor AI Code Editor provides unique advantages when paired with Zeev through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Zeev + Cursor Use Cases
Practical scenarios where Cursor combined with the Zeev MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Example Prompts for Zeev in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Zeev immediately.
"List my pending tasks in Zeev."
"Finish task 123 with decision 'Approved'."
"Start a new 'Expense Report' process."
Troubleshooting Zeev MCP Server with Cursor
Common issues when connecting Zeev to Cursor through Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Zeev + Cursor FAQ
Common questions about integrating Zeev MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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