How to Use the Hunter MCP in VS Code Copilot

Q: How do we monitor our team's Hunter MCP Server API usage in VS Code Copilot?

Ask the agent to run getaccountusage. This queries your account and returns your remaining search and verification limits directly in the chat panel.

Q: Can we pull lead details into our workspace?

Yes. Use getleaddetails or listsavedleads to pull your saved prospects directly into your editor, making it easy to review your pipeline.

Enable your engineering team to verify and find professional emails directly inside VS Code Copilot.

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Connect Hunter MCP to VS Code Copilot

Create your Vinkius account to connect Hunter 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 Hunter with VS Code Copilot

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Query domain emails inside VS Code Copilot

Keep your team in their primary workspace. Your developers can ask Copilot to run `search_domain_emails` to check active contacts for a company without swapping to a browser tab. This MCP Server tells your team how many contacts exist for a target domain before they start writing search queries using `get_domain_email_count`.

Verify deliverability with this MCP Server

Avoid bad data in your development databases. Ask VS Code Copilot to run `verify_email_address` to check if a contact is valid before committing it to your database. If you need deep intelligence on a contact, run `enrich_email_data`. This retrieves additional metadata, which your team can use to test personalization pipelines.

Manage CRM leads from your terminal chat

Keep your lead lists organized without leaving the IDE. Your agent can run `create_new_lead` to save a prospect, or `update_lead_info` to modify existing records. You can also run `list_lead_folders` to see your current list structure. If you need to clean up records, just run `remove_lead` directly from the chat.

Setup guide

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

.vscode/mcp.json

{
  "mcpServers": {
    "hunter-alternative-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 Hunter. 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 Hunter MCP in VS Code Copilot

You can commit the server configuration to your repository. This gives every developer on your team instant access to tools like `find_person_email` within their chat.

Yes, you can ask Copilot to loop through a local file and call `verify_email_address` for each contact. The MCP server processes each address and returns the deliverability status.

Ask the agent to run `get_account_usage`. This queries your account and returns your remaining search and verification limits directly in the chat panel.

Yes. Use `get_lead_details` or `list_saved_leads` to pull your saved prospects directly into your editor, making it easy to review your pipeline.

All API requests are routed through secure, encrypted connections. Your sensitive lead profiles and domain searches are never cached or used to train public models, maintaining enterprise-grade privacy.

Use it with your favorite AI tools

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