Ethereum RPC MPC Server: Secure AI Blockchain Access via MPC

Ethereum RPC MPC Server: Empower AI models with seamless, secure access to blockchain data via TypeScript MCP SDK, supporting full Ethereum JSON-RPC capabilities.

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About Ethereum RPC MPC Server

What is Ethereum RPC MPC Server: Secure AI Blockchain Access via MPC?

The Ethereum RPC MPC Server is a TypeScript-based Model Context Protocol (MCP) server designed to enable secure, seamless interaction between AI systems and Ethereum blockchain data. By leveraging the MCP framework, it provides a standardized interface for AI models to execute JSON-RPC calls, ensuring robust connectivity to EVM-compatible blockchains while maintaining data integrity and privacy. This server acts as a bridge between advanced AI workflows and on-chain data, enabling real-time querying of transaction details, smart contract states, and network metrics.

How to Use Ethereum RPC MPC Server: Secure AI Blockchain Access via MPC?

Setup Steps:
1. Install dependencies using npm or yarn.
2. Configure the server with your preferred RPC endpoint.
3. Integrate with AI platforms like Cursor via MCP-compliant APIs.

Key Execution Flows:
- Launch the server in your development environment.
- Authorize AI agents through designated API keys.
- Deploy pre-built query templates or craft custom RPC requests.
- Monitor activity via standardized logging mechanisms.

Ethereum RPC MPC Server Features

Key Features of Ethereum RPC MPC Server: Secure AI Blockchain Access via MPC?

Full JSON-RPC Compatibility: Supports all Ethereum mainnet and testnet methods
ZK-Enhanced Security: MPC architecture ensures zero-knowledge data handling
Multi-Chain Readiness: Extensible framework for adding new EVM chains
Performance Optimization: Caching layer for frequent read operations
Developer-Friendly: Comprehensive API documentation and SDKs

Use Cases of Ethereum RPC MPC Server: Secure AI Blockchain Access via MPC?

This server empowers developers to:
- Build DeFi analytics engines with real-time price feeds
- Create NFT metadata verification systems using on-chain data
- Develop compliance tools for tracking transaction patterns
- Implement blockchain-based AI training datasets
- Enable cross-chain analysis through planned multi-RPC support

Ethereum RPC MPC Server FAQ

FAQ from Ethereum RPC MPC Server: Secure AI Blockchain Access via MPC?

Q: Does this require blockchain development expertise?
A: No - the server abstracts low-level details, requiring only basic API knowledge.

Q: How is security maintained?
A: MPC architecture ensures data never leaves encrypted channels, with role-based access controls.

Q: Can I use this with Polygon or Arbitrum?
A: Yes - supports any EVM-compatible chain through endpoint configuration.

Q: What analytics capabilities exist?
A: Built-in metrics tracking request rates, latency, and method popularity (enhanced in v2).

Q: Is enterprise licensing available?
A: MIT-licensed for open use, but commercial support contracts can be arranged.

Content

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 [[email protected]](/cdn-cgi/l/email-protection):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 inspector

Usage

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 Ethereum or
* Command: node /path/to/ethereum-rpc-mpc/dist/server/index.js https://eth.llamarpc.com Ethereum

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 Zircuit

Examples

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 quarantined
zirc_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