Ethereum RPC MPC Server
Enables AI models to interact with Ethereum blockchain data through standardized JSON-RPC interfaces, supporting operations such as querying block numbers, checking address balances, retrieving transaction details, and contract information.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Ethereum RPC MPC ServerWhat is the current block number on Ethereum?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Ethereum RPC MPC Server
A TypeScript MCP server that leverages the MCP SDK to support all Ethereum JSON-RPC calls, enabling AI models to interact with blockchain data.
Overview
This project provides a Model Context Protocol (MCP) server that allows AI assistants like Cursor or Claude (or any MCP Client implementation) to interact with Ethereum blockchain data through standardized JSON-RPC interfaces. It acts as a bridge between AI models and EVM blockchains, enabling seamless access to on-chain data and functionality.
Installation
# Clone the repository
git clone git@github.com:Phillip-Kemper/ethereum-rpc-mpc.git
cd ethereum-rpc-mpc
# Install dependencies
yarn install
# Build the project
yarn build
# Start Inspector with default Ethereum RPC (you can change in the inspector settings on )
yarn inspectorUsage
Using with Cursor
To use this MPC server with Cursor:
In Cursor, go to Settings > Cursor Settings > MCP
Add a new MCP server with the following configuration:
Name: Ethereum RPC
Type: Command
Command:
npx -y ethereum-rpc-mpc https://eth.llamarpc.com EthereumorCommand:
node /path/to/ethereum-rpc-mpc/dist/server/index.js https://eth.llamarpc.com Ethereum
Analytics
You can also enable analytics using MCP Analytics Middleware to get an overview about number of requests, duration of requests as well as error reporting for all your tools and resources. To enable it, just pass the --analytics flag and additionally a path for the Sqlite File.
Command:
npx -y ethereum-rpc-mpc https://eth.llamarpc.com Ethereum --analytics --db-path /Users/satoshi/Desktop/analytics.db
Starting the Server
You can start the server by providing an Ethereum RPC URL and an optional chain name:
yarn start [RPC_URL] [CHAIN_NAME]
# Using npx (without installing)
npx -y ethereum-rpc-mpc [RPC_URL] [CHAIN_NAME]If no RPC URL is provided, it will default to "https://eth.llamarpc.com".
Example:
# Connect to Ethereum mainnet
yarn start https://eth.llamarpc.com Ethereum
# Connect to Zircuit
yarn start https://mainnet.zircuit.com ZircuitExamples
Here are some examples of how to use the Ethereum RPC MPC server with Claude:
Getting the Current Block Number
What's the current block number?Checking an Address Balance
What's the ETH balance of 0x742d35Cc6634C0532925a3b844Bc454e4438f44e?Getting Contract Information
Is 0x6B175474E89094C44Da98b954EedeAC495271d0F a smart contract? If yes, what kind of contract is it?Retrieving Transaction Details
Can you show me the details of transaction 0x5c504ed432cb51138bcf09aa5e8a410dd4a1e204ef84bfed1be16dfba1b22060?Zircuit SLS (Sequencer Level Security) Methods
This server includes special support for Zircuit-specific RPC methods. These methods are not enabled by default but are automatically activated when connecting to a Zircuit endpoint (Chain ID: 48900).
The supported Zircuit methods include:
zirc_isQuarantined: Check if a specific transaction is quarantinedzirc_getQuarantined: Query all quarantined transactions with optional address filtering
These methods are particularly useful for monitoring transaction quarantine status.
Future Steps
Next to RPC, also support indexed API access
We plan to extend the functionality beyond basic RPC calls to include support for indexed blockchain data APIs. This will enable more efficient querying of historical data and complex on-chain analytics.
Multi Chain, Multi RPC Support
Future versions will support connecting to multiple chains and RPC endpoints simultaneously, allowing AI models to access data across different blockchains in a single session.
Client Implementation
A future enhancement will be to develop a client-side implementation that makes it easier to interact with this MCP server from various applications.
Server Analytics
We plan to add analytics capabilities to track usage patterns, popular RPC methods, and performance metrics. This will help optimize the server and provide insights into how AI models are interacting with blockchain data.
License
MIT
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