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Connect PipeStream 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. Control your data pipelines through natural language commands.

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
V8 Isolate01

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.

Kill Switch02

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.

FinOps per User03

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through PipeStream.

  1. 01

    Create stream

    This capability starts a new data stream. You can define custom retention policies for your data when you create it.

  2. 02

    List streams

    Use this to see all your active data channels. It provides a clear view of what is currently running.

  3. 03

    Publish event

    This capability sends JSON payloads to a specific stream. It is how you push new data into your pipeline.

  4. 04

    Fetch events

    This capability retrieves historical event data from a stream. It supports time-based filtering and pagination.

Real work

What teams actually run

01

Incident Response

A DevOps engineer asks the agent to pull recent system logs to find the cause of a spike.

02

Data Testing

A developer creates a temporary stream to test how a new service publishes events.

03

Data Analysis

A scientist fetches a specific window of events to verify a data model's output.

04

Pipeline Monitoring

An engineer checks the status of all active channels to ensure everything is running.

Automate a task

Put PipeStream 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

PipeStream 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put PipeStream 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

952ms average. Fast in production.

PipeStream is checked daily against the live service.

Daily averagePeak 1175ms
Oct 3Today
Fastest day
742ms
Slowest day
1175ms
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. 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.

Connector linkhttps://edge.vinkius.com/vk_preview_jDneWqNf0y6klnjmvBtb8xcp1NrmOfetRftWEg97/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — PipeStream capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "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

Guided setup for Claude? Set up PipeStream in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work PipeStream owners hand off.

This MCP is built for engineers who need to interact with data pipelines without switching capabilities.

  • 01

    DevOps Engineers

    They use the agent to check event logs and stream status during incidents.

  • 02

    Data Scientists

    They publish experimental results or pull sample data for analysis.

  • 03

    Backend Developers

    They verify event delivery and create test channels through the AI.

FAQ

Questions PipeStream owners ask.

  • 01

    Which AI clients can I use with PipeStream?

    You can use this MCP with any compatible client, including Claude, Cursor, and Windsurf.

  • 02

    How do I provide my credentials?

    You simply enter your PipeStream API Key during the setup process to authenticate your connection.

  • 03

    Can I filter the data I retrieve?

    Yes, the fetch capability supports time-based filtering and pagination to help you find specific events.

  • 04

    Does this MCP host the data?

    No, this MCP connects your AI client to your existing PipeStream infrastructure.

  • 05

    Can I create streams with specific retention periods?

    Yes, when you use the create capability, you can define custom retention policies for your new streams.

  • 06

    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.

  • 07

    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.

  • 08

    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.

Explore

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