Confluent MCP Server for Windsurf 7 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Confluent through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Confluent and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"confluent": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Confluent MCP Server
Connect your AI to Confluent Cloud, the fully managed data streaming platform built on Apache Kafka.
Windsurf's Cascade agent chains multiple Confluent tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 7 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Cluster Monitoring — Check the health and status of your Kafka clusters, including node availability and CPU metrics.
- Topic Management — List, create, and inspect topics, check partition health, and review recent event flows.
- Environment Audits — Query environments to list active connectors and verify configuration states.
The Confluent MCP Server exposes 7 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Confluent to Windsurf via MCP
Follow these steps to integrate the Confluent MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Confluent
Open Cascade and ask: "Using Confluent, help me..." — 7 tools available
Why Use Windsurf with the Confluent MCP Server
Windsurf provides unique advantages when paired with Confluent through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 7 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Confluent + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Confluent MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Confluent and generate models, types, or handlers based on real API responses
Live debugging: query Confluent tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Confluent and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Confluent data with Cascade's code generation to scaffold entire features in minutes
Confluent MCP Tools for Windsurf (7)
These 7 tools become available when you connect Confluent to Windsurf via MCP:
get_cluster_details
Returns configuration, endpoint URLs, availability, and provisioning status. Retrieve detailed information about a specific Kafka cluster
list_cloud_api_keys
Retrieve API keys in the Confluent Cloud account
list_clusters
Returns all Kafka clusters with their status, cloud provider, and region. Retrieve Kafka clusters in a specific environment
list_connectors
Returns configured source and sink connectors with their status. Retrieve Kafka Connect connectors in an environment and cluster
list_environments
Use this to discover environment IDs needed for cluster and connector operations. Retrieve a list of Confluent Cloud environments
list_service_accounts
Useful for auditing programmatic access. Retrieve service accounts in the Confluent Cloud organization
list_topics
Returns all topics with partition count and replication configuration. Retrieve topics in a specific Kafka cluster
Example Prompts for Confluent in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Confluent immediately.
"Check the health of the 'main-eu' Kafka cluster."
"List all active topics in the 'default_env' environment."
"Check the status of the 'mysql-source' connector."
Troubleshooting Confluent MCP Server with Windsurf
Common issues when connecting Confluent to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Confluent + Windsurf FAQ
Common questions about integrating Confluent MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Confluent with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Confluent to Windsurf
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.