Zeev MCP Server for VS Code CopilotGive VS Code Copilot instant access to 11 tools to Cancel Request, Create Request, Delegate Task, and more
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
Ask AI about this MCP Server for VS Code Copilot
The Zeev MCP Server for VS Code Copilot 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.
GitHub Copilot Agent mode brings Zeev data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 11 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
The Zeev MCP Server exposes 11 tools through the Vinkius. Connect it to VS Code Copilot 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 VS Code Copilot
When VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to wire Zeev into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Create MCP config
.vscode/mcp.json file in your project rootAdd the server config
Enable Agent mode
Start using Zeev
Why Use VS Code Copilot with the Zeev MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with Zeev through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
Zeev + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the Zeev MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
Example Prompts for Zeev in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting Zeev to VS Code Copilot through Vinkius, and how to resolve them.
MCP tools not available
Zeev + VS Code Copilot FAQ
Common questions about integrating Zeev MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.Explore More MCP Servers
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