How do I authenticate?

Find your native API Integration string in your web dashboard and pass it as your LEADFEEDER_API_KEY. Our agent queries standard endpoints natively from it.

Can I filter visitors by country?

Yes, depending on your prompts, the AI can filter the resulting arrays based on domain and geographical metadata provided.

How far back does the tracking retention go?

This mirrors your existing subscription tier limits within the web platform.

Leadfeeder MCP Server for VS Code Copilot 9 tools — connect in under 2 minutes

Name: Leadfeeder
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 9 Tools IDE

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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Leadfeeder and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Leadfeeder MCP Server

Connect your Leadfeeder tracking system to an AI agent to analyze high-quality B2B internet traffic. Track precise analytics without using heavy third-party dashboard setups directly in Cursor or Claude.

GitHub Copilot Agent mode brings Leadfeeder data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 9 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Discover Target Leads: Fetch the list of verified companies engaging with your tracking pixel on specific domains.
Visitor Analytics: Drill into session specifics of organizations interacting behind the scenes.
Sales Pipeline: Identify key B2B traffic and prioritize new cold email targets or warm follow-ups immediately.

The Leadfeeder MCP Server exposes 9 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Leadfeeder to VS Code Copilot via MCP

Follow these steps to integrate the Leadfeeder MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Leadfeeder

Ask Copilot: "Using Leadfeeder, help me...". 9 tools available

Why Use VS Code Copilot with the Leadfeeder MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Leadfeeder 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

Leadfeeder + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Leadfeeder 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

Leadfeeder MCP Tools for VS Code Copilot (9)

These 9 tools become available when you connect Leadfeeder to VS Code Copilot via MCP:

get_account

Get details for a specific Leadfeeder account

get_custom_feed

Get details for a specific custom feed filter

get_lead

Get details for a specific lead

get_tracking_script

Get the tracking script for the account

list_account_visits

Get aggregate visits data across the entire account

list_accounts

Retrieve a list of accounts from Leadfeeder

list_custom_feeds

Retrieve the custom feeds active within a specific account

list_lead_visits

Get the website visits directly associated with a specific lead

list_leads

Retrieve a list of discovered leads within an account

Example Prompts for Leadfeeder in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Leadfeeder immediately.

"Analyze and list all identified corporate visitors targeting my site."

"Are there any manufacturing sector companies viewing our price points?"

"Highlight repeat prospects viewing documentation sections."

Troubleshooting Leadfeeder MCP Server with VS Code Copilot

Common issues when connecting Leadfeeder to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Leadfeeder + VS Code Copilot FAQ

Common questions about integrating Leadfeeder MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .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.