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How to Use the Freshchat MCP in VS Code Copilot

Bring your entire support queue and agent directory into VS Code Copilot for team-wide automation.

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Works with every AI agent you already use

…and any MCP-compatible client

Freshchat MCP on Cursor AI Code Editor MCP Client Freshchat MCP on Claude Desktop App MCP Integration Freshchat MCP on OpenAI Agents SDK MCP Compatible Freshchat MCP on Visual Studio Code MCP Extension Client Freshchat MCP on GitHub Copilot AI Agent MCP Integration Freshchat MCP on Google Gemini AI MCP Integration Freshchat MCP on Lovable AI Development MCP Client Freshchat MCP on Mistral AI Agents MCP Compatible Freshchat MCP on Amazon AWS Bedrock MCP Support
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VS Code Copilot

Connect Freshchat MCP to VS Code Copilot

Create your Vinkius account to connect Freshchat 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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Team-wide queue visibility

This MCP Server uses `list_conversations` and `list_chat_channels` to expose your active support queues to your development team. Sharing this configuration means every engineer can inspect open tickets without leaving the editor. If you need to dive deeper, `get_conversation_details` pulls the complete metadata of any specific chat. This helps your team diagnose message routing bugs or API latency issues using real production data.

Message customers via the VS Code Copilot MCP Server

The tools `send_chat_message` and `list_chat_users` allow your team to communicate with customers directly from the sidebar. You can write scripts or prompt your agent to send updates to specific users without switching applications. To find the right recipient, `search_chat_users` queries your database by email. This ensures you are always messaging the correct customer account, reducing errors during manual interventions.

Roster management and status checks

You can check your support staffing using `list_support_agents` and `list_agent_groups` directly inside your project workspace. This gives your development team an accurate view of who is currently online to handle escalations. The server also runs `check_account_status` to verify that your API integration is healthy. This provides a quick way to confirm your connection status before running complex support automation scripts.

Setup guide

Set up Freshchat 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. 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. 2

    Add the Freshchat 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. 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. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the Freshchat tools listed. Try asking: "List my recent Freshchat transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "freshchat-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Freshchat. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Freshchat MCP in VS Code Copilot

Add the MCP server details to your `.vscode/mcp.json` file and commit it to your repository. This shares the customer support tools with your entire engineering team instantly.
Yes, the `list_chat_messages` tool lets your agent pull historical logs from any active chat via the MCP interface. This is useful for analyzing customer issues directly inside your editor.
It exposes twelve tools including `send_chat_message`, `list_conversations`, and `list_support_agents`. These let you manage messages, users, and agent assignments from your chat panel.
You need an API key with permissions corresponding to the actions you want to perform. Tools like `list_support_agents` may require administrative access depending on your account setup.
Your customer records and chat histories are processed strictly in memory through secure HTTPS connections. No support data is saved or used to train public AI models.

Start using the Freshchat MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Freshchat. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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