How to Use the Chaindesk MCP in VS Code Copilot

Q: How do we share the Chaindesk MCP Server across our engineering team in VS Code Copilot?

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

Q: Can VS Code Copilot query our knowledge bases during code reviews?

Yes. Your AI client can run queryagent to search your documentation and verify if your new code matches your team's internal guidelines.

Q: How do I inspect the configuration of a specific bot?

Call getagent with the agent's ID to retrieve its current system prompt, connected datastores, and active settings.

Manage and query your team's Chaindesk agents directly within VS Code Copilot.

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Connect Chaindesk MCP to VS Code Copilot

Create your Vinkius account to connect Chaindesk 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 Chaindesk with VS Code Copilot

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Push shared documentation directly to your team datastores

The `upsert_datasource` tool lets your development team upload fresh documentation or API schemas directly from their workspace. Your AI client reads the local files and pushes them to your central knowledge base instantly. Run `get_datastore` to confirm that the upload succeeded and check the current status of your indexed files. This ensures every developer on your team works with the exact same verified data sources.

Deploy team-wide agents with this VS Code Copilot MCP Server

The `create_agent` tool lets you set up shared support or internal utility bots right from your terminal or chat panel. You can commit your agent system prompts to your git repository and deploy them directly. When your team updates their deployment workflows, use `update_agent` to sync those changes to your active production bots. Retiring legacy bots is simple since `delete_agent` removes them safely.

Debug production conversations from your chat panel

The `list_conversations` tool lets you pull active customer support chats directly into your editor. You can see what your users are asking without jumping between different monitoring tools. Use `get_messages` to dive deep into specific chat histories and trace where a bot went off track. This makes debugging prompt issues or missing knowledge base articles incredibly fast.

Setup guide

Set up Chaindesk 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 Chaindesk 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 Chaindesk tools listed. Try asking: "List my recent Chaindesk transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "chaindesk-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 Chaindesk. 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 Chaindesk MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your repository root and commit it. Every team member with the Copilot extension will automatically get access to the MCP tools.

Yes. Your AI client can run `query_agent` to search your documentation and verify if your new code matches your team's internal guidelines.

No. You can configure a single team MCP token securely via Vinkius, allowing your developers to connect without sharing raw account credentials.

Call `get_agent` with the agent's ID to retrieve its current system prompt, connected datastores, and active settings.

Your uploaded text files and agent system prompts are protected by enterprise-grade isolation. The connection runs through our zero-trust architecture, which decrypts, executes, and discards all transactional payloads immediately.

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