How to Use the Confluent MCP in Windsurf

Q: How do I configure the Confluent MCP Server in Windsurf?

Open your mcpconfig.json file inside the Codeium directory. Add the server under the mcpServers block with your API credentials, then refresh Cascade.

Q: Can Cascade audit access keys?

Yes. Cascade can run listcloudapikeys and listserviceaccounts to check which keys are active. This helps you identify orphaned credentials without leaving the editor.

Audit active Kafka clusters and map environments directly from Windsurf using Cascade's autonomous multi-step execution.

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Connect Confluent MCP to Windsurf

Create your Vinkius account to connect Confluent 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.

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Setup Confluent with Windsurf

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Map environments with this Windsurf MCP Server

The `list_environments` tool lets Cascade instantly scan your Confluent Cloud setup to find the exact environment IDs required for downstream tasks. Instead of jumping to the web console, your agent pulls these identifiers and feeds them directly into subsequent commands. Cascade uses these IDs to discover active clusters without manual copy-pasting. You get a clean visual map of your cloud layout inside the IDE, allowing you to plan migrations or debug connection paths without breaking your focus.

Inspect Kafka clusters autonomously

The `list_clusters` tool queries Confluent to return status, cloud provider, and region for every active Kafka broker. Cascade chains this check with `get_cluster_details` to verify endpoint URLs and provisioning states in real time. This allows Windsurf to verify that your target cluster is online before it attempts to deploy any application code. If a cluster is down or misconfigured, Cascade catches the error instantly, saving you from failed local runs.

Audit topics and partition counts

The `list_topics` tool fetches partition counts and replication configurations for any cluster in your environment. Cascade reads this data to check if your production topics match your local development schemas. When you ask Cascade to write a new microservice, it inspects these topic details first. It ensures your consumer group configurations align with the actual partition count, avoiding common throughput bottlenecks before you commit code.

Setup guide

Set up Confluent MCP in Windsurf

Prerequisites

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

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

Add the Confluent 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

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

Verify in Cascade

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

mcp_config.json

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

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

Cascade connects directly to the Confluent API via the server. It queries cluster details and configures topics autonomously based on your instructions.

No, this server focuses on read-only discovery like listing topics and environments. You can inspect existing schemas, but write operations are restricted to prevent accidental cloud modifications.

Open your mcp_config.json file inside the Codeium directory. Add the server under the mcpServers block with your API credentials, then refresh Cascade.

Yes. Cascade can run list_cloud_api_keys and list_service_accounts to check which keys are active. This helps you identify orphaned credentials without leaving the editor.

Your Confluent API keys and Kafka cluster endpoints remain inside Vinkius's secure sandbox, which runs this MCP Server. Windsurf never exposes these credentials to external servers, protecting your infrastructure metadata from leaks.

Use it with your favorite AI tools

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