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Vinkius

Confluent Connector for AI agents.

7 live capabilities

Manage Apache Kafka clusters and data streaming pipelines using natural language.

Live agent request Confluent / Connector

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AI Agent

Why people use Confluent

Confluent : Managing Kafka Streams Without the Dashboard Fatigue

With the Confluent MCP, you just ask your agent to show me the connectors in production. It pulls the data instantly, gives you the status, and lets you get back to building. You move from hunting for data to actually using it.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a conversational interface for your entire Confluent Cloud infrastructure.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Checking cluster health during an outage

    A data engineer asks the agent to check the 'main-eu' cluster health, and it immediately reports node availability and CPU usage.

  2. Real-world use case 02

    Auditing production connectors

    A DevOps lead asks the agent to list all connectors in production to ensure every source and sink is running correctly.

  3. Real-world use case 03

    Planning new stream integrations

    An architect asks the agent to list all topics to see current partition patterns and replication settings before designing a new flow.

Complete set · 7capabilities

The complete Confluent capability set.

These are the exact actions your AI can choose when you ask it to work with Confluent.

Capability set01 / 02

01—04

4 capabilities in this set.

Part of 7 available through Confluent.

  1. 01 Capability

    Get cluster details

    Pulls configuration, endpoint URLs, and provisioning status for a specific Kafka cluster.

  2. 02 Capability

    List cloud api keys

    Shows all API keys currently active in your Confluent Cloud account.

  3. 03 Capability

    List connectors

    Shows all source and sink connectors with their current status in a specific cluster.

  4. 04 Capability

    List environments

    Identifies the environment IDs you need to perform cluster or connector operations.

Capability set02 / 02

05—07

3 capabilities in this set.

Part of 7 available through Confluent.

  1. 05 Capability

    List service accounts

    Lists all service accounts in your organization to help audit programmatic access.

  2. 06 Capability

    List topics

    Shows all topics in a cluster including partition counts and replication settings.

  3. 07 Capability

    List clusters

    Lists all Kafka clusters along with their cloud provider, region, and status.

Set up in minutes

One URL. Then ask Confluent to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Confluent from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_0XFjfUiQ7l74QzUowmTvlFqNPqR8GzPSJEppI50O/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Confluent, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Confluent for the conversation.

Where the request belongs

Work Confluent can move forward.

Built around the request

This is for the data engineers and DevOps folks who are tired of clicking through the Confluent Cloud UI just to find a single topic status or check if a connector is actually running. It's for anyone who wants to manage Kafka infrastructure without the manual overhead.

01

Data Engineer

Verifying pipeline health and creating topics on the fly during production deployments.

02

DevOps Engineer

Monitoring cluster CPU and node availability without leaving the terminal or IDE.

03

System Architect

Auditing existing streams and schema registries to plan new integrations.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Aiven logo
01 30 capabilities

Aiven

Manage Aiven cloud infrastructure. provision databases, manage projects, and monitor services directly from your AI agent.

View Connector
Conduit logo
02 8 capabilities

Conduit

Equip your AI agent to observe data streams, manage integration pipelines, and monitor nodes on the Conduit platform.

View Connector
Starburst logo
03 6 capabilities

Starburst

Connect your AI to Starburst Enterprise. Query federated data lakes, manage access roles, and orchestrate complex data environments seamlessly.

View Connector
CockroachDB Cloud logo
04 8 capabilities

CockroachDB Cloud

Manage distributed SQL clusters via CockroachDB Cloud. track clusters, monitor nodes, and audit network allowlists directly from any AI agent.

View Connector
Message Queue Throughput Calculator logo
05 4 capabilities

Message Queue Throughput Calculator

Plan capacity for Kafka, RabbitMQ, or SQS by calculating consumer needs, backlog drain time, and concurrency.

View Connector
Logstash (Server-side Log Pipeline API) logo
06 6 capabilities

Logstash (Server-side Log Pipeline API)

Monitor and manage Logstash instances. check node health, inspect pipeline statistics, and troubleshoot hot threads directly from any AI agent.

View Connector

Bring your own AI

Change the model, client or framework. Keep Confluent connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
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  • Zed
  • Continue
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  • Pieces
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  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Confluent.

The practical details behind the request, access and result.

Can the Confluent MCP actually create new topics?

Yes, it can create topics and let you check their configurations instantly. This lets you manage your Kafka infrastructure without leaving your chat interface.

Will the Confluent MCP show me my cluster's CPU usage?

Yes, it retrieves health metrics including node availability and CPU metrics. You can get a real-time look at your cluster's performance.

Does the Confluent MCP work for monitoring connectors?

It lists all source and sink connectors and shows their current running status. This is great for verifying that your data pipelines are actually active.

Can I use the Confluent MCP to audit my security keys?

You can list all cloud API keys and service accounts to keep your organization's access secure. It makes auditing programmatic access much faster.

Is the Confluent MCP good for checking Kafka partition counts?

It provides the partition count and replication configuration for all topics in a cluster. This helps you verify your data distribution at a glance.

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.

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.

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.

One connection away

Give your agent a direct line to Confluent.

Connect Confluent once. Keep it beside 6,100+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available