How to Use the Zeev MCP in VS Code Copilot

Q: Can I list available Zeev workflows using VS Code Copilot?

Yes. The listprocesses tool is the first thing you'll want to call. It gives your team a complete catalogue of every process definition that can be implemented in the project.

Q: Is the MCP Server useful for multi-developer teams with VS Code Copilot?

It's designed for that. By committing the configuration to .vscode/mcp.json, every developer on the team gets access to the same, standardized tools and workflows.

Standardize team workflows across the entire codebase with VS Code Copilot and the MCP Server.

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Connect Zeev MCP to VS Code Copilot

Create your Vinkius account to connect Zeev to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Zeev with VS Code Copilot

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View Team Workflow Status

When building enterprise tools, everyone needs visibility. You can use `list_requests` to show every running process instance across the team's codebase. This keeps everyone on the same page regarding current business activity. This shared view makes debugging complex, multi-user workflows much simpler.

Define Shared Process Logic

The `get_process` tool lets every developer read the exact, canonical definition of a workflow. This ensures that whether you're working on the front end or back end, you all operate off the same set of rules. It’s the source of truth for your entire engineering team.

Team Task Assignment

Need to hand off a task that needs review? Use `delegate_task`. This function writes assignment logic directly into your codebase, ensuring the correct user receives the notification and ownership of the next step. The MCP Server helps enforce this standardized workflow pattern across all team members.

Setup guide

Set up Zeev MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Zeev MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Zeev tools listed. Try asking: "List my recent Zeev transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "zeev-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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.

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Common questions about Zeev MCP in VS Code Copilot

To get a quick status update on a single running job, the agent calls `get_request`. This pulls all details for that specific request ID, showing whether it's stuck or progressing normally.

Yes. The `list_processes` tool is the first thing you'll want to call. It gives your team a complete catalogue of every process definition that can be implemented in the project.

The server allows you to programmatically manage tasks by calling `finish_task` or `get_task`. This lets your code handle task completion and status checks as part of a larger, automated business flow.

It's designed for that. By committing the configuration to `.vscode/mcp.json`, every developer on the team gets access to the same, standardized tools and workflows.

The server handles workflow definitions, task ownership details, and user identities (`get_me`). It manages structured process metadata that defines who needs to do what.

Use it with your favorite AI tools

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