How to Use the Goldsky (Web3 Data Indexing & Subgraphs) MCP in VS Code Copilot

Q: How do we share the Goldsky (Web3 Data Indexing & Subgraphs) configuration with our team in VS Code Copilot?

Save the server configuration to .vscode/mcp.json and commit it to your Git repository. Every developer on your team who pulls the repo will instantly have access to the shared MCP Server configuration.

Q: Can we monitor production subgraphs using Goldsky (Web3 Data Indexing & Subgraphs) inside VS Code Copilot?

Yes, your developers can run getpipelinestatus and listpipelines to check the sync status of all production indexers. This keeps your team updated without requiring access to a shared web console.

Q: What is the fastest way to debug a failing Goldsky (Web3 Data Indexing & Subgraphs) indexer using VS Code Copilot?

Ask Copilot to run getpipelinelogs to retrieve the latest execution trace using this MCP Server. The agent can analyze the log output, find the failing smart contract event, and suggest a fix.

Q: How do we prevent invalid pipeline deployments in our team workspace?

Copilot runs validatepipeline on your YAML files before sending them to the MCP Server endpoint. This ensures that only fully compliant configurations are sent to the indexing engine.

Manage team-wide Web3 indexing pipelines and debug subgraphs directly inside VS Code Copilot.

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Connect Goldsky (Web3 Data Indexing & Subgraphs) MCP to VS Code Copilot

Create your Vinkius account to connect Goldsky (Web3 Data Indexing & Subgraphs) to VS Code Copilot 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 VS Code Copilot

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Deploy indexing configurations from VS Code Copilot

The `create_pipeline` tool allows engineering teams to deploy production-ready subgraphs directly from their shared repository workspace. This ensures every team member can push updates using identical configurations. Before any deployment, `validate_pipeline` runs to check for schema discrepancies. This automated check prevents team members from accidentally deploying conflicting pipeline structures.

Collaborative Error Monitoring

The `get_pipeline_error_count` tool monitors active indexers to provide the team with real-time health data during deployments. If a smart contract upgrade breaks the indexer, the error spike is instantly visible to anyone on the team. Developers use `get_pipeline_status` to verify that their updates didn't stall the indexing process. This visibility keeps the entire team aligned on the state of your production data pipelines.

Control production pipelines using this MCP Server

The `pause_pipeline` tool halts data processing when upstream RPC nodes experience latency or downtime. This immediate control prevents your target database from filling up with incomplete or corrupted data. When the infrastructure stabilizes, triggering `resume_pipeline` restarts ingestion without losing your place in the blockchain history. If a pipeline hangs, running `restart_pipeline` forces a clean reboot of the indexing process.

Setup guide

Set up Goldsky (Web3 Data Indexing & Subgraphs) MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Goldsky (Web3 Data Indexing & Subgraphs) MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Goldsky (Web3 Data Indexing & Subgraphs) tools listed. Try asking: "List my recent Goldsky (Web3 Data Indexing & Subgraphs) transactions" and Copilot will invoke them automatically.

.vscode/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 VS Code Copilot

Save the server configuration to `.vscode/mcp.json` and commit it to your Git repository. Every developer on your team who pulls the repo will instantly have access to the shared MCP Server configuration.

Yes, your developers can run `get_pipeline_status` and `list_pipelines` to check the sync status of all production indexers. This keeps your team updated without requiring access to a shared web console.

Ask Copilot to run `get_pipeline_logs` to retrieve the latest execution trace using this MCP Server. The agent can analyze the log output, find the failing smart contract event, and suggest a fix.

Copilot runs `validate_pipeline` on your YAML files before sending them to the MCP Server endpoint. This ensures that only fully compliant configurations are sent to the indexing engine.

All pipeline configuration files, database credentials, and execution logs are handled through secure local environment variables. No indexing data or private block data is sent to external servers outside of the direct connection to the indexing endpoint.

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