
Connect Risingwave Streaming Database to ChatGPT and Claude
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. Manage real-time data pipelines through simple conversation.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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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 · 6 capabilities
We ship only the actions that matter.
01-03
3 capabilities in this set.
Part of 6 available through RisingWave.
- 01
Execute SQL
This capability runs SQL statements on your RisingWave instance. Use it to execute DDL or DML commands like CREATE, SELECT, or INSERT.
- 02
List sources
This capability retrieves all external data sources configured in RisingWave. It helps your agent understand where your incoming data is coming from.
- 03
List tables
This capability pulls a list of all user tables. It's how your agent identifies the specific tables available for querying or ingestion.
04-06
3 capabilities in this set.
Part of 6 available through RisingWave.
- 04
Ingest events
This capability pushes JSON data into a specific RisingWave table. You can send a single object or an array of objects to trigger immediate ingestion.
- 05
List materialized views
This capability lists all active materialized views. Use it to check the status or existence of your pre-computed streaming aggregates.
- 06
List sinks
This capability shows all configured data sinks. It lets your agent see where your processed streaming data is being sent.
Real work
What teams actually run
Rapid Prototyping
Quickly create tables and ingest test JSON data to see how your streaming logic behaves.
Pipeline Debugging
Check the current state of materialized views to ensure your real-time aggregates are updating correctly.
Data Auditing
List all sources and sinks to verify that your data is flowing to the correct destinations.
Schema Exploration
Ask your agent to list all tables to understand the existing database structure.
Automate a task
Put RisingWave 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
RisingWave 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 RisingWave 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
903ms average. Fast in production.
RisingWave is checked daily against the live service.
- Fastest day
- 710ms
- Slowest day
- 1265ms
- 14-day trend
- Improving-17%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 6 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 RisingWave, so you can see the experience inside your AI.
It does not authenticate your account with RisingWave. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
RisingWave Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_POZ197YoiA8LB1iU15GyiwF0QcgyMosQUQ2XSBMS/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 — RisingWave capabilities are ready to use.
{
"mcpServers": {
"risingwave-streaming-database-mcp": {
"url": "https://edge.vinkius.com/vk_preview_POZ197YoiA8LB1iU15GyiwF0QcgyMosQUQ2XSBMS/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 RisingWave in Claude and other AIs
Who it's for
Built for the work RisingWave owners hand off.
This MCP is built for technical teams managing real-time data pipelines.
- 01
Data Engineers
They use the agent to quickly verify streaming logic and inspect materialized views during development.
- 02
Backend Developers
They ingest test events and query tables without leaving their code editor.
- 03
Analytics Teams
They explore available data sources and sinks to prepare for real-time dashboarding.
FAQ
Questions RisingWave owners ask.
- 01
How do I connect my RisingWave database to my AI client?
You subscribe to the MCP on Vinkius and provide your RisingWave URL. Once connected, you can use any MCP-compatible client like Claude or Cursor to interact with your database.
- 02
Can I run standard SQL queries through this MCP?
Yes. The execute_sql capability allows your agent to run DDL and DML statements, including CREATE, SELECT, and INSERT.
- 03
How does data ingestion work?
You can use the ingest_events capability to send JSON objects or arrays of objects directly into your RisingWave tables.
- 04
Can I see my materialized views?
Yes, the list_materialized_views capability allows your agent to retrieve a list of all materialized views in your system.
- 05
What clients are compatible with this MCP?
This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.
- 06
Can I run complex JOIN queries on my materialized views?
Yes! Use the execute_sql capability to run any valid RisingWave SQL query. You can perform complex analytical queries or inspect the results of your real-time aggregations.
- 07
How do I check if my Kafka or Pulsar sources are correctly connected?
Use the list_sources capability. It queries the internal catalog to provide a list of all external data sources currently configured in your RisingWave instance.
- 08
Is there a way to push data directly into a table without using an external source?
Absolutely. Use the ingest_events capability to send JSON objects or arrays directly to a specific table via the Events API, perfect for testing or low-latency ingestion.
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Connect RisingWave to Claude, Cursor, ChatGPT & more
