How to Use the Goldsky (Web3 Data Indexing & Subgraphs) MCP in Claude
Deploy and monitor real-time Web3 subgraphs directly from Claude Desktop without touching your terminal.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Goldsky (Web3 Data Indexing & Subgraphs) MCP to Claude Desktop
Create your Vinkius account to connect Goldsky (Web3 Data Indexing & Subgraphs) to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Deploy subgraphs directly from Claude Desktop
The `create_pipeline` tool deploys new indexing configurations straight from your chat interface to the cloud. You hand your schema to the agent, and it handles the deployment API calls. Before shipping, the agent runs `validate_pipeline` to catch syntax errors or broken database sinks. This prevents bad deployments from wasting your sync time.
Track indexing errors inside your workspace
The `get_pipeline_error_count` tool pulls exact failure counts over specific time windows so you spot ingestion issues instantly. Rather than digging through external dashboards, you ask your agent to pinpoint exactly when a smart contract event failed to parse. To fix a broken parser, the agent calls `get_pipeline_logs` to isolate the exact stack trace. You get raw execution logs printed right in your chat window for immediate debugging.
Control indexing states using this MCP Server
The `pause_pipeline` tool halts active blockchain ingestion when your target database runs out of disk space or requires maintenance. You don't need to write custom scripts or log into a web console to freeze operations. Once the database is clear, resuming indexing requires only a quick instruction to let the agent trigger `resume_pipeline`. If a pipeline gets stuck on a bad block, `restart_pipeline` kicks off the sync process again instantly.
Set up Goldsky (Web3 Data Indexing & Subgraphs) MCP in Claude Web or Desktop
- 1
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
- 2
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcpReplace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials. - 3
Start a conversation
Open a new chat. The Goldsky (Web3 Data Indexing & Subgraphs) MCP tools are available immediately — no restart needed.
Endpoint URL
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp No configuration file needed — paste the URL directly in the Claude web interface.
Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Goldsky (Web3 Data Indexing & Subgraphs) MCP in Claude Desktop
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Goldsky (Web3 Data Indexing & Subgraphs) MCP today
We host it, we monitor it, we maintain it. You just paste one token.