TheGraph MCP Server
@kukapay
关于 TheGraph MCP Server
An MCP server that powers AI agents with indexed blockchain data from The Graph.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"thegraph-mcp": {
"command": "uv",
"args": [
"--directory",
"path/to/thegraph-mcp",
"run",
"main.py"
],
"env": {
"THEGRAPH_API_KEY": ""
}
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is TheGraph MCP Server?
TheGraph MCP Server is an MCP server that powers AI agents with indexed blockchain data from The Graph. It is built for developers who want AI assistants to fetch and analyze on-chain data through subgraphs.
How to use TheGraph MCP Server?
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.
Key features of TheGraph MCP Server
- Fetches subgraph schemas for query context
- Executes GraphQL queries against subgraphs
- Returns schemas in human-readable or JSON format
- Supports both AI-generated and manual queries
- Integrates with The Graph’s indexed blockchain data
Use cases of TheGraph MCP Server
- Explore a subgraph’s data model before writing queries
- Ask an AI to find top tokens by trading volume
- Analyze liquidity or swap events from a subgraph
- Combine schema discovery with custom data analysis
FAQ from TheGraph MCP Server
What kind of data does TheGraph MCP Server provide?
It provides indexed blockchain data from The Graph’s subgraphs, such as token prices, trading volumes, and swap events.
What are the runtime requirements?
Python 3.10 or higher, the uv package manager, and a valid The Graph API key configured in the environment variable THEGRAPH_API_KEY.
How is the server configured in a client?
Add a JSON entry under mcpServers with the command uv, args pointing to the cloned directory and main.py, and the API key in the env section.
Does TheGraph MCP Server support custom queries?
Yes, the querySubgraph tool executes any GraphQL query string, whether AI-generated or manually written.
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