How to Use the Keywords AI MCP in Claude Code

Q: How do I install the Keywords AI MCP server for Claude Code?

Run the claude mcp add command in your terminal. You provide the server name and the URL, and Claude Code handles the rest.

Q: Can I use Keywords AI to trigger alerts in Claude Code?

You can poll listalerts using your shell scripts. This allows you to integrate monitoring into your existing terminal-based workflows.

Q: Does Keywords AI work well with Claude Code for SRE tasks?

It is built for it. By providing direct access to getrequest and listrequests, it gives you the visibility you need to debug production issues.

Q: How can I list my Keywords AI models using Claude Code?

Simply call listmodels from your command line. The MCP server returns the full list of available models supported by your account.

Pipe Keywords AI metrics into your CLI workflows with the Keywords AI MCP Server.

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Connect Keywords AI MCP to Claude Code

Create your Vinkius account to connect Keywords AI to Claude Code 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 Claude Code

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Monitor LLM status from your terminal

Keep your SRE tasks simple by checking your gateway health. Run `check_keywordsai_status` in your terminal to verify connectivity before starting a deployment. It fits right into your bash scripts. Pipe the output to other utilities to automate your uptime alerts.

Automate cost reporting with Claude Code

Need a credit report for your CI/CD pipeline? Use `get_credits` to pull your balance and gate your builds based on available funds. It keeps your team's spend transparent. The tool returns structured data that's ready for your internal reporting scripts.

Audit model performance via Claude Code

Use `list_requests_by_model` to see how your production traffic is distributed. It gives you the raw facts you need to optimize your model selection. Don't rely on manual checks. Use `get_usage_stats` to verify that your latency targets are being met across all your active providers.

Setup guide

Set up Keywords AI MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see keywords-ai-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Keywords AI transactions." It will automatically discover and invoke the available Keywords AI tools.

Terminal

claude mcp add --transport http keywords-ai-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Keywords AI MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Keywords AI. 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 Keywords AI MCP in Claude Code

Run the `claude mcp add` command in your terminal. You provide the server name and the URL, and Claude Code handles the rest.

You can poll `list_alerts` using your shell scripts. This allows you to integrate monitoring into your existing terminal-based workflows.

It is built for it. By providing direct access to `get_request` and `list_requests`, it gives you the visibility you need to debug production issues.

Simply call `list_models` from your command line. The MCP server returns the full list of available models supported by your account.

Your credentials are kept in your local configuration file. The server only communicates with the gateway when you explicitly invoke a tool from your terminal.

Use it with your favorite AI tools

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