TheGraph MCP Server

by kukapay

9 stars

250 downloads

Not rated

GitHub

Other

About

An MCP server that powers AI agents with indexed blockchain data from The Graph.

Details

Author: kukapay
GitHub stars: 9
Downloads: 250
Categories: Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name TheGraph MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

From the repository

Clone the repository and configure your MCP client with the uv command pointing to main.py. Set the THEGRAPH_API_KEY environment variable with your The Graph API key. Use the tools getSubgraphSchema and querySubgraph to fetch schema or run GraphQL queries.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "thegraph mcp server": {
            "thegraph-mcp": {
                "command": "uv",
                "args": [
                    "--directory",
                    "path/to/thegraph-mcp",
                    "run",
                    "main.py"
                ],
                "env": {
                    "THEGRAPH_API_KEY": ""
                }
            }
        }
    }
}

McpServers

{
    "thegraph-mcp": {
        "command": "uv",
        "args": [
            "--directory",
            "path/to/thegraph-mcp",
            "run",
            "main.py"
        ],
        "env": {
            "THEGRAPH_API_KEY": ""
        }
    }
}

TheGraph MCP Server

An MCP server that powers AI agents with indexed blockchain data from The Graph.

GitHub License
GitHub Last Commit

Available Tools

1. getSubgraphSchema

Fetches the schema of a specified subgraph, providing AI agents with the context needed to generate GraphQL queries.

Parameters:
- subgraphId: The subgraph ID (e.g., "QmZBQcF...")
- asText: Output format flag
- true: Returns human-readable GraphQL schema
- false: Returns JSON schema (default)

2. querySubgraph

Executes GraphQL queries against a specified subgraph. While queries are typically generated by AI, you can also manually craft your own.

Parameters:
- subgraphId: The subgraph ID
- query: GraphQL query string

Installation

1. Clone the Repository

    git clone https://github.com/kukapay/thegraph-mcp.git

2. Client Configuration

    {

      "mcpServers": {

        "thegraph-mcp": {

          "command": "uv",

          "args": ["--directory", "path/to/thegraph-mcp", "run", "main.py"],

          "env": {

            "THEGRAPH_API_KEY": "your_api_key_here"

          }

        }

      }

    }

Example Prompts

Here are some natural language prompts to trigger the tools:

Schema Queries

- "Show me the schema for subgraph QmZBQcF... in a readable format" - "What's the structure of the QmZBQcF... subgraph? Please display it in GraphQL format" - "I need to understand the data model of subgraph QmZBQcF..., can you fetch its schema?"

Data Queries

- "Find the top 5 tokens by trading volume in the last 24 hours from subgraph QmZBQcF..." - "Show me all pairs with liquidity greater than 1 million USD in subgraph QmZBQcF..." - "Get the latest 10 swap events from the QmZBQcF... subgraph, including token symbols and amounts"

Analysis Tasks

- "Analyze the trading volume of USDT pairs in the last week using subgraph QmZBQcF..." - "Compare the liquidity of ETH and USDC pairs in subgraph QmZBQcF..." - "Find unusual trading patterns in the last 24 hours from subgraph QmZBQcF..."

Combined Tasks

- "First get the schema of QmZBQcF..., then help me write a query to find high-value transactions" - "Check the schema of QmZBQcF... and tell me what fields are available for querying token prices" - "Using subgraph QmZBQcF..., analyze the market impact of large trades by first understanding the schema and then querying relevant events"

License

This project is licensed under the MIT License. See the LICENSE file for details.

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

TheGraph MCP Server

Available Tools

1. getSubgraphSchema

2. querySubgraph

Installation

Example Prompts

Schema Queries

Data Queries

Analysis Tasks

Combined Tasks

License

Install

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