How to Use the Snov.io MCP in VS Code Copilot

Q: How do I check my Snov.io credit balance with VS Code Copilot?

You ask Copilot Chat to run getbalance. The result is immediately available in the chat context, letting your whole team track usage without leaving the IDE.

Q: Can my team use Snov.io to find emails and verify addresses with VS Code Copilot?

Yes. You add the server via .vscode/mcp.json. Then, your teammates can invoke domainsearch followed by emailverifier for real-time data validation right in the chat panel.

Q: Is using the MCP Server better for enterprise teams than solo developers in VS Code Copilot?

Since the configuration lives in .vscode/mcp.json, every developer gets access automatically, enforcing standardized data procedures across your entire organization.

Standardize lead generation across your team with Snov.io in VS Code Copilot Chat.

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Connect Snov.io MCP to VS Code Copilot

Create your Vinkius account to connect Snov.io to VS Code Copilot — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Snov.io with VS Code Copilot

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Team Lead Generation via MCP Server

You can add `snovio-mcp` to the shared `.vscode/mcp.json`. This lets every developer on the team access tools like `domain_search` and `email_finder` automatically. When a teammate needs to check a domain's technology stack, they just use the `tech_checker` tool in Copilot Chat. Everyone works off the same, verified data source.

Bulk Prospect Management for Teams

The MCP Server lets you centralize prospecting tasks. You can use `list_prospect_lists` to view all available sources and then `add_prospect` to structure the leads into a new, shared list. It ensures that every member of your engineering team uses consistent methods for managing lead data.

Get Detailed Prospect Info in Copilot Chat

Instead of opening a separate dashboard, you can ask Copilot to use `get_prospect_by_email`. It pulls the full profile—including job titles and company details—and presents it right in the chat window. This saves everyone time by keeping data retrieval confined to the familiar VS Code environment.

Setup guide

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

.vscode/mcp.json

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

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Common questions about Snov.io MCP in VS Code Copilot

You ask Copilot Chat to run `get_balance`. The result is immediately available in the chat context, letting your whole team track usage without leaving the IDE.

Yes. You add the server via `.vscode/mcp.json`. Then, your teammates can invoke `domain_search` followed by `email_verifier` for real-time data validation right in the chat panel.

This server handles professional contact information, specifically emails and domain names. This allows your team to build accurate prospect profiles within their code or chats.

Since the configuration lives in `.vscode/mcp.json`, every developer gets access automatically, enforcing standardized data procedures across your entire organization.

The server touches professional contact information (emails/domains). Remember to handle this sensitive prospect data according to company policy before integrating it into your codebase.

Use it with your favorite AI tools

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