How to Use the DeepSeek MCP in VS Code Copilot
Deploy DeepSeek's powerful reasoning models to your entire team using VS Code Copilot for secure, collaborative coding.
Works with every AI agent you already use
…and any MCP-compatible client
Connect DeepSeek MCP to VS Code Copilot
Create your Vinkius account to connect DeepSeek 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.
Team-wide DeepSeek integration in VS Code Copilot
The `deep_reasoning` tool lets your VS Code Copilot agent route complex coding problems directly to DeepSeek's chain-of-thought reasoning models via this MCP Server. Instead of guessing, you get the exact step-by-step thinking path before the final code block is written to your active VS Code Copilot file by the DeepSeek engine. You can also use `chat_prefix_completion` to guide how the DeepSeek model structures its code output inside your VS Code Copilot editor. This keeps your local VS Code Copilot coding workflow fast because your team doesn't have to keep fixing the DeepSeek agent's syntax errors.
Track DeepSeek usage inside VS Code Copilot
The `get_token_usage` tool checks how many DeepSeek API tokens your team's code generation is eating up directly inside the VS Code Copilot terminal. This means you never have to open a browser tab to see if your VS Code Copilot prompts are bloating your DeepSeek bill. Pair this with `get_balance` and `get_billing_details` to keep tabs on your DeepSeek spend while refactoring in VS Code Copilot. VS Code Copilot can flag when your DeepSeek budget is running low before your team hits a hard API limit during a heavy coding session.
Inspect DeepSeek request history in VS Code Copilot
The `list_request_history` tool pulls your team's exact DeepSeek query history directly into VS Code Copilot so you can debug failed API calls. This lets you inspect past DeepSeek prompts and responses without changing your VS Code Copilot workspace configuration. Before running a massive codebase refactor, run `check_api_status` inside VS Code Copilot to make sure the DeepSeek servers aren't throwing errors. It saves you from waiting on a hung VS Code Copilot agent when the DeepSeek API is down.
Set up DeepSeek 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.jsonin your workspace. - 2
Add the DeepSeek 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 DeepSeek tools listed. Try asking: "List my recent DeepSeek transactions" and Copilot will invoke them automatically.
{
"mcpServers": {
"deepseek-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 DeepSeek. 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 DeepSeek MCP in VS Code Copilot
Use it with your favorite AI tools
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Start using the DeepSeek MCP today
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