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How to Use the CometAPI MCP in Windsurf

Let Windsurf control your AI model infrastructure directly through the CometAPI MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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

Connect CometAPI MCP to Windsurf

Create your Vinkius account to connect CometAPI 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

Windsurf manages your AI model pipeline

Cascade can pull model lists using `list_available_ai_models` to see what providers are active. This stops you from guessing which LLMs are ready for your current coding task. Once you pick a model, `create_ai_chat_completion` runs the prompt inside your editor context. You save time by skipping the manual copy-paste routine between browser tabs.

Track your spending inside the editor

Run `get_api_usage_statistics` to keep an eye on your token consumption without leaving Windsurf. It shows you exactly how much your experiments are costing in real-time. Check `get_pricing_information` if you need to compare costs before firing off a heavy batch of requests. This keeps your budget in check while you work.

Audio handling for your media projects

Use `convert_text_to_speech` to turn your documentation into audio files directly from the command palette. It moves fast so you can hear how your text sounds immediately. `transcribe_audio_to_text` flips the process if you have meeting recordings that need to become code comments. Windsurf handles the file paths so you don't break your directory structure.

Setup guide

Set up CometAPI 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 CometAPI 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 CometAPI payment history." If connected, Cascade will call the CometAPI tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json
{
  "mcpServers": {
    "cometapi-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 CometAPI. 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 CometAPI MCP in Windsurf

The server exposes usage endpoints that your agent polls. You get a clear count of your current spend without opening a dashboard.
Yes. The `generate_ai_image` tool creates visual assets that you can drop straight into your project folders.
No. The connection stays idle until you trigger a specific action. Your IDE remains snappy while the server waits for your next command.
Drop the server URL into your mcp_config.json file. Once saved, Cascade will auto-discover the tools and show them in your command palette.
We keep your API keys and usage logs off our servers. Only your local machine handles the raw text and audio data you process through this MCP server.

Start using the CometAPI MCP today

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

Built & Managed by Vinkius 30s setup 10 tools

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

No hosting. No infrastructure. No complex setup.
All 10 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
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