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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use Goldsky with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage Web3 data pipelines and subgraphs. List, create, and monitor real-time indexing pipelines directly from your AI agent.

Included with plan

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

Complete set · 12 capabilities

The complete Goldsky capability set.

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

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 12 available through Goldsky.

  1. 01

    Delete pipeline

    Delete a pipeline (irreversible)

  2. 02

    Get pipeline logs

    Retrieve execution logs for a pipeline

  3. 03

    Get pipeline state

    Get internal state of a pipeline

  4. 04

    List pipelines

    List all pipelines in the project

Capability set02 / 03

05-08

4 capabilities in this set.

Part of 12 available through Goldsky.

  1. 05

    Restart pipeline

    Restart a pipeline

  2. 06

    Get pipeline

    Get details of a specific pipeline

  3. 07

    Get pipeline error count

    Get error count in a time window for a pipeline

  4. 08

    Get pipeline status

    G., running, paused, failed) of a pipeline. Get current runtime status of a pipeline

Capability set03 / 03

09-12

4 capabilities in this set.

Part of 12 available through Goldsky.

  1. 09

    Pause pipeline

    Pause a running pipeline

  2. 10

    Resume pipeline

    Resume a paused pipeline

  3. 11

    Validate pipeline

    Validate a pipeline definition

  4. 12

    Create pipeline

    Create and deploy a new pipeline

Observed, not estimated

927ms average. Fast in production.

Goldsky is checked daily against the live service.

Daily averagePeak 1209ms
Aug 20Today
Fastest day
719ms
Slowest day
1209ms
14-day trend
Slowing+10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 12 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 Goldsky, so you can see the experience inside your AI.

It does not authenticate your account with Goldsky. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Goldsky Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_vKwCn24rK9jiYRm7bJaactLmNUpPZSSNAnWrQ0l6/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 — Goldsky capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "goldsky-web3-data-indexing-subgraphs-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_vKwCn24rK9jiYRm7bJaactLmNUpPZSSNAnWrQ0l6/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 Goldsky owners ask.

  • 01

    Can I check if my pipeline configuration is valid before deploying it?

    Yes! Use the validate_pipeline capability with your definition object. It will check your sources, transforms, and sinks for errors without actually starting a new pipeline.

  • 02

    How do I monitor errors in a running pipeline?

    You can use get_pipeline_error_count to see the number of issues in a time window, or get_pipeline_logs to fetch the actual execution logs for detailed debugging.

  • 03

    Is it possible to temporarily stop a pipeline without deleting it?

    Absolutely. Use the pause_pipeline capability to stop execution. When you are ready to start again, simply use the resume_pipeline capability.

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