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              AI Suite > Subgraph MCP

              2 分钟

              Cursor

              This guide walks you through the integration of Subgraph Model Context Protocol⁠ (MCP) to access Subgraph data through natural language conversations with Cline.

              Prerequisites

              • Cursor⁠ installed (latest version)
              • A Gateway API key from Subgraph Studio
              • npx⁠ or bunx⁠ installed and available in your path

              Configuration Steps

              1. Open Configuration File

              Create or edit your ~/.cursor/mcp.json file.

              Cursor Settings > MCP > Add new global MCP Server

              2. Add Configuration

              1{2  "mcpServers": {3    "subgraph": {4      "command": "npx",5      "args": ["mcp-remote", "--header", "Authorization:${AUTH_HEADER}", "https://subgraphs.mcp.thegraph.com/sse"],6      "env": {7        "AUTH_HEADER": "Bearer GATEWAY_API_KEY"8      }9    }10  }11}

              3. Add Your API Key

              Replace GATEWAY_API_KEY with your API key from Subgraph Studio.

              4. Restart Cursor

              Restart Cursor, and start a new chat.

              Available Subgraph Tools and Usage

              The Subgraph MCP provides several tools for interacting with Subgraphs:

              Schema Retrieval Tools

              • Get schema by deployment ID: Access the GraphQL schema using a deployment ID (0x…)
              • Get schema by Subgraph ID: Access the schema for the current deployment of a Subgraph (5zvR82…)
              • Get schema by IPFS hash: Access the schema using a Subgraph’s IPFS manifest hash (Qm…)

              Query Execution Tools

              • Execute query by deployment ID: Run GraphQL queries against specific, immutable deployments
              • Execute query by Subgraph ID: Run GraphQL queries against the latest version of a Subgraph

              Discovery Tools

              • Get top Subgraph deployments: Find the top 3 Subgraph deployments indexing a specific contract on a particular chain

              Benefits of Natural Language Queries

              One of the most powerful features of the Subgraph MCP integration is the ability to ask questions in natural language. Cursor will:

              1. Understand your goal (lookup, find Subgraphs, query, get schema)
              2. Find relevant deployments if needed
              3. Fetch and interpret the Subgraph schema
              4. Convert your question into an appropriate GraphQL query
              5. Execute the query and present the results in a readable format

              Example Natural Language Queries

              1What are the pairs with maximum volume on deployment 0xde0a7b5368f846f7d863d9f64949b688ad9818243151d488b4c6b206145b9ea3?
              1Which tokens have the highest market cap in this Subgraph?
              1Show me the most recent 5 swaps for the USDC/ETH pair

              Key Identifier Types

              When working with Subgraphs, you’ll encounter different types of identifiers:

              • Subgraph ID (e.g., 5zvR82...): Logical identifier for a Subgraph
              • Deployment ID (e.g., 0x4d7c...): Identifier for a specific, immutable deployment
              • IPFS Hash (e.g., QmTZ8e...): Identifier for the manifest of a specific deployment
              ⁠在GitHub上编辑⁠

              ClineIntroduction
              在此页面上
              • Prerequisites
              • Configuration Steps
              • 1. Open Configuration File
              • 2. Add Configuration
              • 3. Add Your API Key
              • 4. Restart Cursor
              • Available Subgraph Tools and Usage
              • Schema Retrieval Tools
              • Query Execution Tools
              • Discovery Tools
              • Benefits of Natural Language Queries
              • Example Natural Language Queries
              • Key Identifier Types
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