How to Use the Keywords AI MCP in VS Code Copilot

Q: Can I use Keywords AI to manage team budget in VS Code Copilot?

Absolutely, use getcredits to monitor your shared budget. This tool helps you catch runaway costs before they impact your team's project runway.

Q: Does Keywords AI provide audit logs in VS Code Copilot?

Yes, listrequests generates a detailed audit trail. It helps your team review how different features are impacting your total API consumption.

Q: How do I verify Keywords AI health in VS Code Copilot?

Call checkkeywordsaistatus from the command palette. It tells you if the monitoring gateway is operational, saving your team time during outages.

Q: Can I see my team's user activity in VS Code Copilot?

Use listusers to see your team roster. You can then use getuser to see how specific users are contributing to your overall model usage stats.

Deploy Keywords AI across your engineering team in VS Code Copilot to maintain unified visibility over LLM API usage.

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Connect Keywords AI MCP to VS Code Copilot

Create your Vinkius account to connect Keywords AI 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 Keywords AI with VS Code Copilot

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Unified team monitoring in VS Code Copilot

Standardize your team's LLM monitoring by committing this server to your repo. Use `get_usage_stats` to see how the whole team is performing against your budget. It gives everyone the same source of truth. You can use `list_alerts` to ensure the team knows when usage trends spike.

Track provider costs in VS Code Copilot

Stop worrying about end-of-month surprises by checking your balance with `get_credits`. It's a simple way to keep your team aware of their footprint. Use `get_analytics` to share performance trends in your daily standups. It keeps everyone accountable for their model choices.

Audit model performance in VS Code Copilot

Inspect real-time API logs using `list_requests` to ensure your deployment follows best practices. If a model starts lagging, `list_requests_by_model` helps you pinpoint the provider. It makes troubleshooting much faster. You can verify model availability with `list_models` whenever you need to update your stack.

Setup guide

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

.vscode/mcp.json

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

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Common questions about Keywords AI MCP in VS Code Copilot

Absolutely, use `get_credits` to monitor your shared budget. This tool helps you catch runaway costs before they impact your team's project runway.

Yes, `list_requests` generates a detailed audit trail. It helps your team review how different features are impacting your total API consumption.

The server uses tokenized access to your Keywords AI account. It only retrieves metadata like request IDs and usage counts, keeping your sensitive PII out of the MCP flow.

Call `check_keywordsai_status` from the command palette. It tells you if the monitoring gateway is operational, saving your team time during outages.

Use `list_users` to see your team roster. You can then use `get_user` to see how specific users are contributing to your overall model usage stats.

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