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Vinkius

PipeStream Connector for AI agents.

4 live capabilities

Manage real-time event streaming and data pipelines from your chat interface.

Live agent request PipeStream / Connector

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AI Agent

Why people use PipeStream

PipeStream for Real-Time Event Stream Management

PipeStream changes that by bringing your event streams directly into your conversation with your AI agent. You can ask your agent to show you the logs or spin up a new stream, getting a direct line to your data pipelines without the friction.

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

What Vinkius changes

You get a chat-based command center for your entire event streaming infrastructure.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    Incident Response

    A DevOps engineer asks the agent to fetch the last 50 events from a failing payment stream to find the error.

  2. Real-world use case 02

    Data Analysis

    A scientist asks the agent to create a stream for experimental results and then pull the first 100 entries.

  3. Real-world use case 03

    QA Testing

    A developer asks the agent to create a temporary test stream and publish a batch of dummy user signups.

Complete set · 4capabilities

The complete PipeStream capability set.

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

Capability set01 / 01

01—04

4 capabilities in this set.

Part of 4 available through PipeStream.

  1. 01 Capability

    Create stream

    Set up a new data stream with custom retention policies for your project. Use this to build out your pipeline architecture on the fly.

  2. 02 Capability

    List streams

    View all your active data channels to see what's currently running. This helps you maintain a clear overview of your infrastructure.

  3. 03 Capability

    Fetch events

    Pull a list of events from a stream using time filters or pagination. This lets you inspect specific historical data points quickly.

  4. 04 Capability

    Publish event

    Send a JSON payload to a specific stream to trigger actions or log data. It's the quickest way to inject test data into your flow.

Set up in minutes

One URL. Then ask PipeStream to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use PipeStream 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_jDneWqNf0y6klnjmvBtb8xcp1NrmOfetRftWEg97/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 PipeStream, and paste the URL above.

  3. Step 03

    Turn it on in chat

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

Where the request belongs

Work PipeStream can move forward.

Built around the request

This is for the engineer who's tired of hunting through terminal outputs and log aggregators during a production incident or late-night debugging session.

01

DevOps Engineer

Checking event logs and stream statuses during high-pressure incident responses.

02

Data Scientist

Pushing experimental results or pulling sample data for immediate analysis in-context.

03

Backend Developer

Verifying event delivery and creating temporary testing channels without leaving the IDE.

Build the capability set

Add more capabilities.

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

Browse Connectors
Conduit logo
01 8 capabilities

Conduit

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

View Connector
Tinybird Data Platform logo
02 10 capabilities

Tinybird Data Platform

Analyze real-time data via Tinybird. manage Data Sources, inspect Pipes, and query endpoints directly.

View Connector
Axiom logo
03 31 capabilities

Axiom

Manage logs and observability data via Axiom. ingest data, run APL queries, and manage datasets or monitors directly from any AI agent.

View Connector
RisingWave (Streaming Database) logo
04 6 capabilities

RisingWave (Streaming Database)

Manage your RisingWave streaming database. execute SQL, ingest events, and monitor tables, materialized views, sources, and sinks directly from any AI agent.

View Connector
Unstructured logo
05 6 capabilities

Unstructured

Process and transform complex unstructured data into AI-ready inputs by managing sources, destinations, and workflows directly from your AI agent.

View Connector
Vercel AI SDK Stream Parser logo
06 3 capabilities New

Vercel AI SDK Stream Parser

Deterministic parser for Vercel AI SDK 3.0 Data Stream protocol chunks.

View Connector

Bring your own AI

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

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about PipeStream.

The practical details behind the request, access and result.

Can PipeStream MCP help me debug production issues?

Yes, you can use it to pull live event logs and check stream statuses instantly without leaving your chat.

How do I create a new data stream using this?

Just tell your agent to create a new stream and specify any retention rules you want to apply.

Can I use PipeStream to see my active data channels?

Yes, it can list every active stream you have so you can monitor your infrastructure in one place.

Is it possible to send test data to a stream?

You can use the capability to publish JSON events to any active stream for testing or verification.

Does PipeStream MCP support historical data?

Yes, it allows you to fetch past events from your streams with specific filters.

How does this work with my current data pipelines?

It connects directly to your PipeStream account so your agent can manage the data flow for you.

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.

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.

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.

One connection away

Give your agent a direct line to PipeStream.

Connect PipeStream once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available