How to Use the Goldsky (Web3 Data Indexing & Subgraphs) MCP in Cursor

Q: How do I add the Goldsky (Web3 Data Indexing & Subgraphs) tools to my Cursor workspace?

Create a .cursor/mcp.json file in your project root and paste the server configuration details inside. Once saved, enable Agent mode in the Cursor chat pane to give the editor access to these MCP tools.

Q: Can Cursor automatically debug a broken Goldsky (Web3 Data Indexing & Subgraphs) pipeline?

Yes, the agent can call getpipelinelogs to find the exact line causing a parser crash. It then rewrites your local mapping code and redeploys using this MCP Server.

Q: What happens if I need to pause ingestion during a database migration?

Instruct your agent to run pausepipeline to halt block processing. Once your migration completes, tell the agent to run resumepipeline to pick up exactly where it left off.

Generate working Web3 indexing code and control live pipelines directly inside the Cursor editor.

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Create your Vinkius account to connect Goldsky (Web3 Data Indexing & Subgraphs) to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Goldsky (Web3 Data Indexing & Subgraphs) with Cursor

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Claude

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Deploy subgraphs from your active codebase

The `create_pipeline` tool turns your local YAML configurations into live indexing pipelines without leaving your file editor. Your agent reads your local smart contract files, writes the pipeline definition, and deploys it immediately. To ensure the generated YAML is correct, the agent executes `validate_pipeline` in the background. This workflow eliminates the feedback loop of pushing broken code to a remote repository just to test deployment.

Debug live indexing pipelines inside Cursor

The `get_pipeline_logs` tool pulls execution logs directly into your editor's terminal window or chat pane. When a smart contract event payload changes, your agent analyzes these logs to rewrite your parsing code on the fly. If errors spike, `get_pipeline_error_count` gives you a clear metric of failures over the last hour. Having this data directly in your workspace means you can correlate indexing errors with recent code commits.

Manage active indexers with this MCP Server

The `list_pipelines` tool fetches every active indexer associated with your project to give you an instant status report. You can review your entire data ingestion setup without context-switching to a browser tab. For detailed inspection, `get_pipeline` retrieves the exact configuration of any single indexing pipeline. This lets your agent compare your local files against what is actually running in production.

Setup guide

Set up Goldsky (Web3 Data Indexing & Subgraphs) MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Goldsky (Web3 Data Indexing & Subgraphs) MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Goldsky (Web3 Data Indexing & Subgraphs) transactions." If the MCP tools are loaded correctly, Cursor will call the Goldsky (Web3 Data Indexing & Subgraphs) tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "goldsky-web3-data-indexing-subgraphs-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Goldsky. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Goldsky (Web3 Data Indexing & Subgraphs) MCP in Cursor

Create a `.cursor/mcp.json` file in your project root and paste the server configuration details inside. Once saved, enable Agent mode in the Cursor chat pane to give the editor access to these MCP tools.

Yes, the agent can call `get_pipeline_logs` to find the exact line causing a parser crash. It then rewrites your local mapping code and redeploys using this MCP Server.

It connects your active code directly to your indexing infrastructure. You can validate, deploy, and monitor your pipelines without running manual terminal commands or leaving your editor.

Instruct your agent to run `pause_pipeline` to halt block processing. Once your migration completes, tell the agent to run `resume_pipeline` to pick up exactly where it left off.

No, all API keys and pipeline configurations are processed locally through the MCP Server connection, ensuring your smart contract ABIs and database credentials stay secure.

Use it with your favorite AI tools

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