
Arbitrum MCP Server
by soodteenz
This server analyzes real-time Arbitrum blockchain data using the Arbiscan API and Claude AI for AI-powered data interpretation. It provides functionalities for fetching data, analyzing transactions, and checking account balances.
Last updated: N/A
What is Arbitrum MCP Server?
An MCP (Model Context Protocol) server designed for real-time analysis of Arbitrum blockchain data. It utilizes the Arbiscan API to fetch data and Claude AI for insightful data interpretation.
How to use Arbitrum MCP Server?
- Install dependencies using
npm install
. 2. Create a.env
file with yourARBISCAN_API_KEY
andCLAUDE_API_KEY
. 3. Run the server usingnpx tsx arbitrum-mcp.ts
. The server provides a tool namedgetArbitrumData
accessible with afullPrompt
. This tool takes an optionaladdress
for use case analysis.
Key features of Arbitrum MCP Server
Real-time Arbitrum blockchain data fetching
Latest block information
Transaction analysis
Account balance checking
Network statistics
AI-powered data interpretation
Use cases of Arbitrum MCP Server
Getting the latest block information
Analyzing and reviewing recent transactions
Determining the current ETH supply on Arbitrum
Checking account balances for specific addresses
FAQ from Arbitrum MCP Server
What is the primary function of the server?
What is the primary function of the server?
The primary function of the server is to provide real-time data analysis of the Arbitrum blockchain, integrating the Arbiscan API and Claude AI.
What API keys are required to run the server?
What API keys are required to run the server?
You will need API keys for Arbiscan and Claude AI, which should be stored in a .env
file.
How do I interact with the server?
How do I interact with the server?
You interact using a tool named getArbitrumData, by providing a fullPrompt
regarding Arbitrum data. Also, provide an optional address
for specific-use cases.
Can the server provide historical data?
Can the server provide historical data?
The provided documentation focuses on real-time data, so accessing historical data is not explicitly mentioned.
Where can I find the source code?
Where can I find the source code?
The source code is hosted on GitHub at the provided repository link.