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About the Goldsky MCP server

The Model Context Protocol (MCP) is an open standard for connecting AI applications to external services. Goldsky hosts an MCP server so AI tools like Claude, Cursor, and other MCP clients can search our documentation directly:
  • Find relevant documentation while coding
  • Get accurate answers about Goldsky’s capabilities
  • Pull examples into your editor’s context
  • Navigate between related features across products

How the Goldsky MCP server works

When an AI tool has the Goldsky MCP server connected, it can search our documentation while generating a response:
  • The AI searches Goldsky docs when relevant to your question
  • Searches span all core Goldsky products (Subgraphs, Turbo, Edge RPC, and Compose)
  • Results come from the live docs, so answers stay current

Access the Goldsky MCP server

The Goldsky MCP server is hosted at:

Connect the Goldsky MCP server

Choose your preferred AI tool to get started with the Goldsky MCP server:
To connect the Goldsky MCP server to Cursor:
1

Open MCP settings

  1. Use Command + Shift + P (Ctrl + Shift + P on Windows) to open the command palette.
  2. Search for “Open MCP settings”.
  3. Select Add custom MCP. This opens the mcp.json file.
2

Configure the Goldsky MCP server

In mcp.json, add the Goldsky server:
3

Test the connection

In Cursor’s chat, ask “What tools do you have available?” Cursor should show the Goldsky MCP server as an available tool.
Try asking: “How do I deploy a subgraph on Goldsky?” or “What data sinks does Turbo support?”
See the Cursor documentation for more details.

Agent skills for AI coding assistants

Beyond documentation search, Goldsky provides Agent Skills: workflow-based skills that guide AI assistants through tasks like deploying pipelines, managing secrets, and debugging issues. See the AI agent skills page for installation instructions and available skills.

Using the Goldsky MCP server effectively

Best practices for AI-assisted development

Once connected, your AI assistant can help you with:
When to use: Starting a new project or evaluating optionsAsk questions like:
  • “Should I use Subgraphs or Turbo for my NFT marketplace?”
  • “When should I choose Turbo over Subgraphs?”
The AI will search across product documentation to provide comparative guidance.
When to use: Setting up pipelines, subgraphs, or compose appsAsk questions like:
  • “Show me a Turbo pipeline config for decoding Uniswap events”
  • “How do I configure a Turbo pipeline with TypeScript transforms?”
  • “What’s the syntax for Compose task triggers on ERC-20 transfers?”
The AI will find relevant configuration examples and syntax.
When to use: Fixing issues or understanding errorsAsk questions like:
  • “My subgraph deployment failed with error X, what does this mean?”
  • “How do I debug a failing Turbo transform?”
  • “What are common issues with Compose task execution?”
The AI will search documentation for error explanations and solutions. If it can’t help, email our support team and mention that you’re using the MCP server for priority support. We keep adding debugging guidance to the docs to improve MCP results.

Product-specific search tips

Key topics to search:
  • Deploying and managing subgraphs
  • GraphQL schema and queries
  • Instant subgraphs (no-code)
  • Cross-chain/multi-chain indexing
  • Webhooks and event notifications
  • Migration from The Graph or Alchemy
Example queries:
  • “How do I create an instant subgraph?”
  • “Show me how to deploy a cross-chain subgraph”
  • “What’s the webhook payload format?”
Be specific about products: mention the Goldsky product you mean (Subgraphs, Turbo, Edge RPC, or Compose) to get more targeted results.Example: “How do I configure a Turbo pipeline?” vs “How do I configure a pipeline?” (ambiguous between products)