How to Use the Weiban Assistant MCP in VS Code Copilot

Q: How does Weiban Assistant help with lead management using VS Code Copilot?

The listleads tool is committed to your repo config. Every developer gets instant, centralized access to the list of sales leads via the MCP Server.

Q: What can I do regarding customer data with Weiban Assistant and VS Code Copilot?

You use getcustomerdetails to pull necessary client information directly into your project context. This makes writing accurate, detailed code much simpler for the whole team.

Q: If we need group chat details, how does Weiban Assistant and VS Code Copilot handle it?

The getgroupchat tool retrieves necessary group context. This data can then be used by all developers to write collaborative features that depend on team discussions.

Q: What kind of activity summary information is available with Weiban Assistant and VS Code Copilot?

The getorgsummary tool provides a quick, high-level overview of organizational activity. This data can be used by your team to build operational dashboards.

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Connect Weiban Assistant MCP to VS Code Copilot

Create your Vinkius account to connect Weiban Assistant 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 Weiban Assistant with VS Code Copilot

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Identify potential sales opportunities.

The `list_leads` tool pulls a current list of all open sales leads, making them available to every developer. Your team can use this data to write code that auto-assigns or prioritizes outreach efforts. This central access point ensures everyone works off the same, verified lead status.

Review staff performance across teams.

Use `get_staff_stats` to gather team behavior statistics. Copilot can then write reports or dashboards that analyze this data automatically. It gives management a clear, code-driven view of who's doing what.

Access and manage full customer profiles.

Running `get_customer_details` makes specific client records available to your entire codebase. Your team can build functions that require deep knowledge of a single account. This saves hours of manual data lookups across different systems.

Setup guide

Set up Weiban Assistant 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 Weiban Assistant 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 Weiban Assistant tools listed. Try asking: "List my recent Weiban Assistant transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "weiban-assistant-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 Weiban Assistant. 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 Weiban Assistant MCP in VS Code Copilot

The `list_leads` tool is committed to your repo config. Every developer gets instant, centralized access to the list of sales leads via the MCP Server.

You use `get_customer_details` to pull necessary client information directly into your project context. This makes writing accurate, detailed code much simpler for the whole team.

The `get_group_chat` tool retrieves necessary group context. This data can then be used by all developers to write collaborative features that depend on team discussions.

The `get_org_summary` tool provides a quick, high-level overview of organizational activity. This data can be used by your team to build operational dashboards.

It accesses communication records and user accounts, specifically `customer_details` (names, contacts) and chat histories via `list_chat_records`. This structured data is version controlled.

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