
Connect Confluent to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Run and monitor streaming infrastructure through natural language.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 7 capabilities
We ship only the actions that matter.
01-04
4 capabilities in this set.
Part of 7 available through Confluent.
- 01
List connectors
This capability returns all configured source and sink connectors. It shows you the current status of every Kafka Connect connector in a specific environment or cluster.
- 02
List environments
Use this to find your Confluent Cloud environment IDs. It provides a list of all available environments for your account.
- 03
List service accounts
This capability retrieves service accounts within your organization. It is the primary way to audit programmatic access and security.
- 04
Get cluster details
This capability pulls deep configuration data for a specific Kafka cluster. It includes endpoint URLs, availability status, and provisioning details.
05-07
3 capabilities in this set.
Part of 7 available through Confluent.
- 05
List cloud API keys
This capability lists the API keys present in your Confluent Cloud account.
- 06
List topics
This capability retrieves all topics within a designated Kafka cluster. It provides the partition count and replication settings for each topic.
- 07
List clusters
This capability returns a list of all Kafka clusters in an environment. It shows their current status, cloud provider, and region.
Real work
What teams actually run
Rapid Troubleshooting
When a pipeline stalls, ask your agent to check the status of specific connectors or topic partitions.
Infrastructure Auditing
Use your agent to pull a list of all service accounts to verify who has programmatic access.
Cluster Health Checks
Ask your agent for the status and CPU metrics of a cluster to ensure it is performing within limits.
Environment Discovery
Quickly find environment IDs and cluster locations across different cloud providers.
Automate a task
Put Confluent to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
Confluent works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Confluent to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
917ms average. Fast in production.
Confluent is checked daily against the live service.
- Fastest day
- 739ms
- Slowest day
- 1037ms
- 14-day trend
- Stable-3%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Confluent, so you can see the experience inside your AI.
It does not authenticate your account with Confluent. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Confluent Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_0XFjfUiQ7l74QzUowmTvlFqNPqR8GzPSJEppI50O/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Confluent capabilities are ready to use.
{
"mcpServers": {
"confluent-mcp": {
"url": "https://edge.vinkius.com/vk_preview_0XFjfUiQ7l74QzUowmTvlFqNPqR8GzPSJEppI50O/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up Confluent in Claude and other AIs
Who it's for
Built for the work Confluent owners hand off.
This MCP is built for engineers who manage high-throughput data streaming pipelines.
- 01
Data Engineers
They use the agent to verify pipelines and create streaming topics quickly.
- 02
DevOps Teams
They use the agent to monitor cluster health without opening the Confluent dashboard.
- 03
System Architects
They use the agent to audit streams and schema registries during integration planning.
FAQ
Questions Confluent owners ask.
- 01
How do I connect this MCP to my AI client?
You connect through the Vinkius platform. Once you add your Confluent Cloud credentials, you can connect your client like Claude, Cursor, or Windsurf with one click.
- 02
What credentials do I need to provide?
You will need your Confluent Cloud API Key and Secret to authorize the agent to interact with your account.
- 03
Can my agent actually see my Kafka topics?
Yes. The MCP includes capabilities to list topics, check partition counts, and review replication configurations.
- 04
Is this MCP secure for auditing service accounts?
Yes. It includes a specific capability to list service accounts, allowing you to audit programmatic access through your agent.
- 05
Does this work with any Kafka provider?
This MCP is specifically designed for Confluent Cloud, though it can see which cloud provider your clusters are running on.
- 06
How do I get a Confluent Cloud API Key?
Log in to your Confluent Cloud dashboard. Go to Cloud API Keys under the administration menu. Click Add key, select the scope, and copy both the API Key and Secret.
- 07
What is an Environment in Confluent?
An Environment is a logical boundary containing clusters, schema registries, and connectors. You often need the Environment ID when querying specific resources.
- 08
Can the agent consume messages directly?
This integration focuses on control-plane tasks: managing topics, monitoring cluster status, and listing connectors. Direct message consumption from streams is not supported.
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Connect Confluent to Claude, Cursor, ChatGPT & more
