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MagicDrip MCP Server for VS Code CopilotGive VS Code Copilot instant access to 12 tools to Add Linkedin Lead, Check Api Health, Get Account Outreach Stats, and more

Built by Vinkius GDPR 12 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.

Use with Your AI Agent

Ask AI about this App Connector for VS Code Copilot

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The MagicDrip app connector for VS Code Copilot is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install MagicDrip and 3,400+ MCP Servers from a single visual interface.

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Classic Setup·json
{
  "mcpServers": {
    "magicdrip": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
MagicDrip
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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 MagicDrip MCP Server

Connect your MagicDrip (magicdrip.com) account to any AI agent and take full control of your LinkedIn sales orchestration and automated outreach through natural conversation. MagicDrip provides a powerful platform for scaling B2B social selling, and this integration allows you to retrieve lead metadata, trigger automated connection requests, and monitor campaign performance directly from your chat interface.

GitHub Copilot Agent mode brings MagicDrip data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 12 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Lead & Prospect Orchestration — List all managed leads and retrieve detailed profile metadata programmatically to ensure your sales funnel is always synchronized.
  • Campaign Lifecycle Management — Access and monitor your automated LinkedIn campaigns and retrieve detailed performance metadata directly from the AI interface.
  • Outreach & Message Intelligence — Send automated connection requests and direct messages via natural language to drive better engagement and conversion rates.
  • Analytics & Quota Oversight — Retrieve aggregated account statistics and monitor your available slots and limits using simple AI commands.
  • Operational Monitoring — Track system responses and manage webhook metadata to ensure your social selling workflows are always optimized.

The MagicDrip MCP Server exposes 12 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.

All 12 MagicDrip tools available for VS Code Copilot

When VS Code Copilot connects to MagicDrip through Vinkius, your AI agent gets direct access to every tool listed below — spanning linkedin-automation, social-selling, outreach-campaigns, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_linkedin_lead

Add a new lead to a campaign

check_api_health

Verify The Magic Drip API status

get_account_outreach_stats

Get overall account performance

get_authenticated_user_profile

Get authenticated account info

get_available_slots_quota

Check account daily limits

get_campaign_performance

Retrieve campaign analytics

get_lead_outreach_details

Get details for a specific prospect

list_configured_webhooks

g., new reply). List active webhooks

list_outreach_campaigns

List LinkedIn automation campaigns

list_outreach_leads

List prospects from outreach campaigns

send_direct_linkedin_message

Send a direct LinkedIn message

send_linkedin_invite

Send a connection request

Connect MagicDrip to VS Code Copilot via MCP

Follow these steps to wire MagicDrip into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using MagicDrip

Ask Copilot: "Using MagicDrip, help me...". 12 tools available

Why Use VS Code Copilot with the MagicDrip MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with MagicDrip through the Model Context Protocol.

01

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

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

MagicDrip + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the MagicDrip MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for MagicDrip in VS Code Copilot

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

01

"List all active sales campaigns in MagicDrip."

02

"Show me the overall stats for my LinkedIn outreach."

03

"Add 'Sarah Chen' from 'sarah@acme.corp' as a new lead."

Troubleshooting MagicDrip MCP Server with VS Code Copilot

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

01

MCP tools not available

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

MagicDrip + VS Code Copilot FAQ

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

01

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.
02

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.
03

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.
04

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.