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
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
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.




{
"mcpServers": {
"quickreplyai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 a new contact
Get details for a specific broadcast
Get details for a specific contact
Get details for a specific message template
List broadcast campaigns
List QuickReply.ai contacts
List WhatsApp templates
List contact segments
Send a WhatsApp message
Track a custom engagement event
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.
Create MCP config
.vscode/mcp.json file in your project rootAdd the server config
Enable Agent mode
Start using QuickReply.ai
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.
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
QuickReply.ai + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the QuickReply.ai 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
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.
"List all contacts in QuickReply.ai."
"Show me all WhatsApp broadcast campaigns from this month with delivery and read rates."
"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.
MCP tools not available
QuickReply.ai + VS Code Copilot FAQ
Common questions about integrating QuickReply.ai MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.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.