Content
# MCP Transaction Analyzer
A Model Context Protocol (MCP) server that provides AI-powered analysis of Ethereum transactions across any network. This service simulates transactions and generates human-readable interpretations to help users understand potential outcomes before execution.
## Overview
The MCP Transaction Analyzer combines blockchain transaction simulation with AI interpretation.
- What a transaction will do before they execute it
- The potential impact on token balances
- Any hidden or unexpected outcomes
- Gas usage and cost estimates
## Features
- Real-time transaction simulation using Tenderly
- AI-powered interpretation using OpenAI or Google's Gemini models
- Support for all Ethereum-compatible networks
- Detailed analysis of:
- ERC20, ERC721, and ERC1155 token transfers
- Contract interactions
- Balance changes
- Gas estimations
- Secure HTTPS support in production
- Server-Sent Events (SSE) for real-time updates
- Full Model Context Protocol integration
## Prerequisites
- Node.js >= 18.x
- SSL certificates (for production mode)
- API keys for:
- Tenderly (transaction simulation)
- OpenAI and/or Google Gemini (AI interpretation)
## Installation
1. Clone the repository:
```bash
git clone [repository-url]
cd mcp-transaction-analyzer
```
2. Install dependencies:
```bash
npm install
```
3. Configure environment variables in `.env`:
```env
TENDERLY_ACCOUNT=your_tenderly_account
TENDERLY_PROJECT=your_tenderly_project
TENDERLY_API_KEY=your_tenderly_api_key
OPENAI_API_KEY=your_openai_api_key
GEMINI_API_KEY=your_gemini_api_key
CERT_PATH=/path/to/ssl/certificates # Required for production
```
## Usage
### Development Mode
```bash
npm run dev
```
### Production Mode
```bash
npm run prod
```
### Available Scripts
- `npm run build` - Compile TypeScript to JavaScript
- `npm run dev` - Run development server
- `npm run dev:prod` - Run production server with TypeScript
- `npm run start` - Start compiled server
- `npm run prod` - Run compiled server in production mode
- `npm run inspect` - Run MCP inspector on the server
## Usage
Add server to Cursor:
```json
"mcpServers": {
...
"transaction-sim-server": {
"url": <URL to your deployed server>
}
}
```
### Transaction Simulation
The service accepts transaction parameters and returns detailed analysis:
```
{
networkId: string, // Network ID for the transaction
from: string, // Sender address
to: string, // Recipient address
value?: string, // ETH value (optional)
data?: string, // Transaction data (optional)
useEmojis?: boolean // Enable/disable emojis in response
}
```
for example, let's take a random transaction from block explorer, type the following into the Cursor chat window, once you have set up your MCP server:
```
Computer, please determine if this transaction is safe:
networkId: 8453
from: 0x331F914d9447F0E4BEcAB98d62BEA00dADb8B591
to: 0x24fcFC492C1393274B6bcd568ac9e225BEc93584
data: 0x095ea7b3000000000000000000000000cf77a3ba9a5ca399b7c97c74d54e5b1beb874e43000000000000000000000000000000000000000000002e961634f872dfc30000
```
## Dependencies
### Core
- `@modelcontextprotocol/sdk`: MCP integration
- `ethers`: Ethereum interaction
- `@smarttokenlabs/waterfall-rpc`: RPC management
### AI Services
- `@anthropic-ai/sdk`: Anthropic AI integration
- `@google/generative-ai`: Google Gemini integration
- `openai`: OpenAI integration
### Server
- `express`: Web server framework
- `@fastify/cors`: CORS support
### Development
- `typescript`: Type safety
- `ts-node`: TypeScript execution
- Various type definitions
## Development
The project follows TypeScript best practices and is structured around:
- `server.ts`: Main MCP server implementation
- `processTransaction.ts`: Transaction analysis logic
- `tenderly.ts`: Tenderly API integration
## License
MIT License
## Author
James Brown (j@smarttokenlabs.com)
## Support
For issues and feature requests, please create an issue in the repository.
Connection Info
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