Goldsky (Web3 Data Indexing & Subgraphs) Connector for AI agents.
12 live capabilities
Manage blockchain data pipelines and subgraphs through natural language.
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Why people use Goldsky (Web3 Data Indexing & Subgraphs)
Goldsky for Web3 Data Indexing and Subgraph Management
This Connector lets you handle that entire lifecycle inside your chat interface. You can ask your agent to create a new pipeline, check the logs for a specific block, or pause a flow for maintenance without ever opening a new tab. You get a direct line of communication to your infrastructure.
What Vinkius changes
You get full control over your Web3 data infrastructure through a simple chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Debugging a stalled sync
A developer notices a subgraph isn't updating.
- Real-world use case 02
Cost management
An engineer wants to turn off a test pipeline over the weekend.
- Real-world use case 03
Rapid deployment
A team needs a new indexing flow for a new token.
Complete set · 12capabilities
The complete Goldsky (Web3 Data Indexing & Subgraphs) capability set.
These are the exact actions your AI can choose when you ask it to work with Goldsky (Web3 Data Indexing & Subgraphs).
01—04
4 capabilities in this set.
Part of 12 available through Goldsky (Web3 Data Indexing & Subgraphs).
- 01 Capability
Delete pipeline
Permanently removes a pipeline from your project. Use this to clean up old configurations.
- 02 Capability
Get pipeline error count
Shows how many errors occurred in a specific timeframe. It helps you spot spikes in indexing failures quickly.
- 03 Capability
Get pipeline logs
Pulls the latest execution logs for a pipeline. You can use this to see exactly what happened during a specific block sync.
- 04 Capability
Get pipeline state
Shows the internal state of a pipeline. This is useful for seeing where a process stalled.
05—08
4 capabilities in this set.
Part of 12 available through Goldsky (Web3 Data Indexing & Subgraphs).
- 05 Capability
Get pipeline status
Tells you if a pipeline is running, paused, or failed. Use it for a quick health check.
- 06 Capability
Get pipeline
Fetches all the details for a specific pipeline. It's the go-to for inspecting your current configuration.
- 07 Capability
List pipelines
Shows every pipeline currently in your project. Use it to get an overview of your entire indexing setup.
- 08 Capability
Pause pipeline
Stops a running pipeline immediately. Use this to save on costs or prevent data overlap during maintenance.
09—12
4 capabilities in this set.
Part of 12 available through Goldsky (Web3 Data Indexing & Subgraphs).
- 09 Capability
Restart pipeline
Reboots a pipeline that's stuck or needs a refresh. This is the quickest way to get a stalled sync moving again.
- 10 Capability
Resume pipeline
Starts a pipeline that was previously paused. It lets you pick up where you left off without a full restart.
- 11 Capability
Validate pipeline
Checks your JSON definition for errors before you deploy. This prevents broken configurations from breaking your live data.
- 12 Capability
Create pipeline
Deploys a brand new pipeline based on your requirements. You can create new data flows with just a few words.
Set up in minutes
One URL. Then ask Goldsky (Web3 Data Indexing & Subgraphs) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Goldsky (Web3 Data Indexing & Subgraphs) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_vKwCn24rK9jiYRm7bJaactLmNUpPZSSNAnWrQ0l6/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Goldsky (Web3 Data Indexing & Subgraphs), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Goldsky (Web3 Data Indexing & Subgraphs) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_vKwCn24rK9jiYRm7bJaactLmNUpPZSSNAnWrQ0l6/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Goldsky (Web3 Data Indexing & Subgraphs) URL.
- Step 03
Save and start
Save the connection and enable Goldsky (Web3 Data Indexing & Subgraphs) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"goldsky-web3-data-indexing-subgraphs": {
"url": "https://edge.vinkius.com/vk_preview_vKwCn24rK9jiYRm7bJaactLmNUpPZSSNAnWrQ0l6/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Goldsky (Web3 Data Indexing & Subgraphs)
Open Agent mode in chat and ask: "Using Goldsky (Web3 Data Indexing & Subgraphs), help me...". 12 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"goldsky-web3-data-indexing-subgraphs": {
"url": "https://edge.vinkius.com/vk_preview_vKwCn24rK9jiYRm7bJaactLmNUpPZSSNAnWrQ0l6/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Goldsky (Web3 Data Indexing & Subgraphs)
Ask Copilot: "Using Goldsky (Web3 Data Indexing & Subgraphs), help me...". 12 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"goldsky-web3-data-indexing-subgraphs": {
"url": "https://edge.vinkius.com/vk_preview_vKwCn24rK9jiYRm7bJaactLmNUpPZSSNAnWrQ0l6/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Goldsky (Web3 Data Indexing & Subgraphs)
Open Cascade and ask: "Using Goldsky (Web3 Data Indexing & Subgraphs), help me...". 12 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"goldsky-web3-data-indexing-subgraphs": {
"url": "https://edge.vinkius.com/vk_preview_vKwCn24rK9jiYRm7bJaactLmNUpPZSSNAnWrQ0l6/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Goldsky (Web3 Data Indexing & Subgraphs)
Ask Cline: "Using Goldsky (Web3 Data Indexing & Subgraphs), help me...". 12 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add goldsky-web3-data-indexing-subgraphs --transport http "https://edge.vinkius.com/vk_preview_vKwCn24rK9jiYRm7bJaactLmNUpPZSSNAnWrQ0l6/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Goldsky (Web3 Data Indexing & Subgraphs)
Ask Claude: "Using Goldsky (Web3 Data Indexing & Subgraphs), show me...". 12 tools are ready
Where the request belongs
Work Goldsky can move forward.
This is for the Web3 dev who is tired of manually babysitting blockchain indexers or the data engineer who needs to debug a failing data flow at 3 AM without digging through nested logs.
Web3 Developer
Deploys and debugs subgraphs directly from the IDE without switching tabs.
Data Engineer
Monitors indexing health and troubleshoots data flows in real-time.
Protocol Team Member
Manages cross-chain data indexing via conversational commands.
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Bring your own AI
Change the model, client or framework. Keep Goldsky connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
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Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
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TypingMind -
Chorus -
5ire -
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LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Goldsky.
The practical details behind the request, access and result.
Can I use the Goldsky MCP to create new subgraphs?
Yes, you can create and deploy new pipelines using natural language. Just describe the requirements to your agent and it will handle the deployment for you.
How does the Goldsky MCP help with debugging?
It lets you pull execution logs and error counts directly into your chat. You can see exactly what went wrong during a specific sync without leaving your workspace.
Can I pause my data indexing to save money?
Yes, you can use the pause and resume capabilities to stop data flows when they aren't needed, helping you manage your infrastructure costs more effectively.
Does the Goldsky MCP work with Cursor and VS Code?
Yes, this Connector is compatible with any MCP-enabled client, including Claude, Cursor, and Windsurf.
How do I see if my pipelines are failing?
You can ask your agent to check the status or the error count for any specific pipeline. It will report if the flow is running, paused, or failed.
Can I check my pipeline logs without a dashboard?
Absolutely. Your agent can fetch and display the latest logs for any pipeline, allowing you to troubleshoot issues directly in your chat interface.
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.
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.
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.
One connection away
Give your agent a direct line to Goldsky.
Connect Goldsky once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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