Use PipeStream with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Streamline real-time data flows. create streams, publish events, and fetch historical data directly from your AI agent.
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.
Complete set · 4 capabilities
The complete PipeStream capability set.
These are the exact actions your AI can choose when you ask it to work with PipeStream.
01-04
4 capabilities in this set.
Part of 4 available through PipeStream.
- 01
Create stream
Create a new stream
- 02
List streams
List all active streams
- 03
Publish event
Publish an event to a stream
- 04
Fetch events
Fetch events from a stream
Observed, not estimated
907ms average. Fast in production.
PipeStream is checked daily against the live service.
- Fastest day
- 721ms
- Slowest day
- 1331ms
- 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. 4 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 PipeStream, so you can see the experience inside your AI.
It does not authenticate your account with PipeStream. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
PipeStream Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_jDneWqNf0y6klnjmvBtb8xcp1NrmOfetRftWEg97/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 — PipeStream capabilities are ready to use.
{
"mcpServers": {
"pipestream-mcp": {
"url": "https://edge.vinkius.com/vk_preview_jDneWqNf0y6klnjmvBtb8xcp1NrmOfetRftWEg97/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
FAQ
Questions PipeStream owners ask.
- 01
Can I create a new data stream with a specific retention period?
Yes! Use the create_stream capability. You can specify the name and the retention_hours to define how long data should be stored in that logical channel.
- 02
How do I send a JSON payload to an existing stream?
Use the publish_event capability. Provide the stream_id and your JSON payload. You can also optionally include a custom ISO8601 timestamp.
- 03
Is it possible to filter events by time when fetching data?
Absolutely. The fetch_events capability allows you to provide a from_timestamp to retrieve only the events recorded after a specific point in time.
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