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How to Use the Keywords AI MCP in Windsurf

Track your LLM costs and latency directly in Windsurf with the Keywords AI MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

Keywords AI MCP on Cursor AI Code Editor MCP Client Keywords AI MCP on Claude Desktop App MCP Integration Keywords AI MCP on OpenAI Agents SDK MCP Compatible Keywords AI MCP on Visual Studio Code MCP Extension Client Keywords AI MCP on GitHub Copilot AI Agent MCP Integration Keywords AI MCP on Google Gemini AI MCP Integration Keywords AI MCP on Lovable AI Development MCP Client Keywords AI MCP on Mistral AI Agents MCP Compatible Keywords AI MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Windsurf

Connect Keywords AI MCP to Windsurf

Create your Vinkius account to connect Keywords AI to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Monitor LLM performance inside Windsurf

Cascade needs real-time data to optimize your model routing. Use `get_usage_stats` to feed latency and performance metrics directly into your agent's context window. Stop guessing which models perform best. By calling `list_requests_by_model`, Windsurf can analyze historical request logs to identify bottlenecks in your current pipeline.

Manage your API budget with Windsurf

Don't let runaway token usage derail your sprint. You can check your remaining balance instantly by triggering `get_credits` within your IDE. Keep your team's spending in check without leaving your editor. Use `list_alerts` to see if your usage has tripped any pre-defined thresholds.

Query your LLM logs through Windsurf

Need to debug a specific failed request? Ask Cascade to fetch the raw data using `get_request` to see exactly what happened during the transaction. It's easier to verify connectivity when you have direct access. Run `check_keywordsai_status` to ensure your gateway connection is stable before you start your next batch of experiments.

Setup guide

Set up Keywords AI MCP in Windsurf

Prerequisites

  • Windsurf IDE installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.

  2. 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. 3

    Refresh MCPs

    Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.

  4. 4

    Verify in Cascade

    Start a new Cascade conversation and ask something like "Show my Keywords AI payment history." If connected, Cascade will call the Keywords AI tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "keywords-ai-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 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Keywords AI MCP in Windsurf

Open your Windsurf MCP settings and add the server configuration. Once you save, Cascade will automatically discover and index all available monitoring tools.
Yes, it can. You just need to run `get_credits` or `get_usage_stats` to pull your current financial metrics into the chat interface for review.
It supports manual polling for alerts. You can trigger `list_alerts` whenever you want to see if your usage patterns have triggered any warning flags.
Your request logs live on the Keywords AI gateway. This MCP server acts as a bridge, allowing you to fetch that data on demand without leaving your editor.
Your request metadata, including timestamps and token counts, is handled via secure API calls. The server only accesses the specific logs you query to perform your requested analysis.

Start using the Keywords AI MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 11 tools

We've already built the connector for Keywords AI. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 11 tools are live and waiting. You're up and running in seconds.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
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