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QuickReply.ai MCP Server for VS Code CopilotGive VS Code Copilot instant access to 11 tools to Create Contact, Get Broadcast, Get Contact Details, and more

Built by Vinkius GDPR 11 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.

Ask AI about this App Connector for VS Code Copilot

The QuickReply.ai app connector for VS Code Copilot is a standout in the Ecommerce category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

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

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Download Free Open SourceNo signup required
Classic Setup·json
{
  "mcpServers": {
    "quickreplyai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
QuickReply.ai
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 QuickReply.ai MCP Server

Connect your QuickReply.ai account to any AI agent and simplify your WhatsApp automation and conversational marketing through natural conversation.

GitHub Copilot Agent mode brings QuickReply.ai data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 11 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Contact Management — List all WhatsApp subscribers, retrieve detailed profile metadata, and track user segments
  • Messaging & Outreach — Send text messages or templates to recipients and monitor delivery status through your agent
  • Broadcast Campaigns — Query past and scheduled broadcast campaigns to monitor your marketing reach
  • Usage Tracking — Record custom user events and actions programmatically to feed your segmentation
  • Template catalog — Query available pre-approved WhatsApp message templates for consistent outreach

The QuickReply.ai MCP Server exposes 11 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 11 QuickReply.ai tools available for VS Code Copilot

When VS Code Copilot connects to QuickReply.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning whatsapp-marketing, conversational-commerce, customer-engagement, 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.

create_contact

Create a new contact

get_broadcast

Get details for a specific broadcast

get_contact_details

Get details for a specific contact

get_template

Get details for a specific message template

list_broadcast_campaigns

List broadcast campaigns

list_contacts

List QuickReply.ai contacts

list_message_templates

List WhatsApp templates

list_user_segments

List contact segments

send_whatsapp_message

Send a WhatsApp message

track_user_event

Track a custom engagement event

update_contact

Update an existing contact

Connect QuickReply.ai to VS Code Copilot via MCP

Follow these steps to wire QuickReply.ai 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 QuickReply.ai

Ask Copilot: "Using QuickReply.ai, help me...". 11 tools available

Why Use VS Code Copilot with the QuickReply.ai MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with QuickReply.ai 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

QuickReply.ai + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the QuickReply.ai 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 QuickReply.ai in VS Code Copilot

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

01

"List all contacts in QuickReply.ai."

02

"Show me all WhatsApp broadcast campaigns from this month with delivery and read rates."

03

"Send a personalized WhatsApp template message to all contacts in the VIP Customers segment."

Troubleshooting QuickReply.ai MCP Server with VS Code Copilot

Common issues when connecting QuickReply.ai 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.

QuickReply.ai + VS Code Copilot FAQ

Common questions about integrating QuickReply.ai 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.