How to Use the Chatsistant MCP in VS Code Copilot

Q: Can VS Code Copilot query my Chatsistant bots?

Yes. Your agent uses the querybot tool to search through your support knowledge bases and test live responses directly in the chat panel.

Q: How does VS Code Copilot handle Chatsistant conversation logs?

Your agent uses listconversations and getconversation to fetch live transcripts. This allows you to inspect real customer support interactions without leaving your editor.

Q: Can I add new data sources through Copilot?

Yes, you can run adddatasource directly from the Copilot chat interface to feed new documents into your customer support bots.

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Connect Chatsistant MCP to VS Code Copilot

Create your Vinkius account to connect Chatsistant 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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Setup Chatsistant with VS Code Copilot

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Sync team workflows with this VS Code Copilot MCP Server

This connector lets your engineering team inspect customer support setups directly from the VS Code chat panel. By committing configuration files to your repository, every developer gets instant access to `list_bots` and `get_bot` without manual setup. Your team can inspect client configurations and verify branding assets in real-time. This keeps everyone aligned on what each custom white-label bot is supposed to look like.

Query knowledge bases and manage sources in VS Code

The `query_bot` tool allows your Copilot agent to test bot answers using live customer support databases using this MCP integration. You can verify if a client's knowledge base is responding correctly before committing any code changes. When you find gaps in the support data, your agent runs `add_data_source` to update the bot. This lets your team maintain client databases directly from their main coding workspace.

Inspect conversations and webhooks inside your editor

Your developers can use `list_conversations` and `get_conversation` to analyze real support transcripts within Copilot Chat. This helps your team build better analytics dashboards by seeing the exact data structures they need to render. To debug integration issues, the agent uses `list_webhooks` to verify where support events are being sent. You can quickly trace why a webhook failed without logging into a separate cloud console.

Setup guide

Set up Chatsistant 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

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

Add the Chatsistant 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

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

Verify the connection

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

.vscode/mcp.json

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

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

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Common questions about Chatsistant MCP in VS Code Copilot

Create a .vscode/mcp.json file in your project root and commit it to your Git repository. Every team member with the Copilot extension will automatically gain access to the support tools.

Yes. Your agent uses the query_bot tool to search through your support knowledge bases and test live responses directly in the chat panel.

Your agent uses list_conversations and get_conversation to fetch live transcripts. This allows you to inspect real customer support interactions without leaving your editor.

Yes, you can run add_data_source directly from the Copilot chat interface to feed new documents into your customer support bots.

Your bot settings, conversation transcripts, and webhook configurations are handled through secure, isolated MCP instances. This ensures your clients' sensitive support records never leak into public LLM training sets.

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