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Transactionsimulatormcp
What is Transactionsimulatormcp
TransactionSimulatorMCP is an MCP service that provides AI-powered analysis of Ethereum transactions across any network, allowing users to simulate transactions and understand potential outcomes before execution.
Use cases
Use cases include simulating ERC20, ERC721, and ERC1155 token transfers, analyzing contract interactions, estimating gas costs, and providing insights into potential transaction impacts before execution.
How to use
To use TransactionSimulatorMCP, clone the repository, install dependencies, configure environment variables, and run the server in either development or production mode using npm commands.
Key features
Key features include real-time transaction simulation, AI-powered interpretation, support for all Ethereum-compatible networks, detailed analysis of token transfers and contract interactions, gas estimations, secure HTTPS support, and real-time updates via Server-Sent Events.
Where to use
TransactionSimulatorMCP can be used in various fields such as blockchain development, financial analysis, and decentralized application (dApp) testing, where understanding transaction outcomes is crucial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Transactionsimulatormcp
TransactionSimulatorMCP is an MCP service that provides AI-powered analysis of Ethereum transactions across any network, allowing users to simulate transactions and understand potential outcomes before execution.
Use cases
Use cases include simulating ERC20, ERC721, and ERC1155 token transfers, analyzing contract interactions, estimating gas costs, and providing insights into potential transaction impacts before execution.
How to use
To use TransactionSimulatorMCP, clone the repository, install dependencies, configure environment variables, and run the server in either development or production mode using npm commands.
Key features
Key features include real-time transaction simulation, AI-powered interpretation, support for all Ethereum-compatible networks, detailed analysis of token transfers and contract interactions, gas estimations, secure HTTPS support, and real-time updates via Server-Sent Events.
Where to use
TransactionSimulatorMCP can be used in various fields such as blockchain development, financial analysis, and decentralized application (dApp) testing, where understanding transaction outcomes is crucial.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
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
- Clone the repository:
git clone [repository-url]
cd mcp-transaction-analyzer
- Install dependencies:
npm install
- Configure environment variables in
.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
npm run dev
Production Mode
npm run prod
Available Scripts
npm run build- Compile TypeScript to JavaScriptnpm run dev- Run development servernpm run dev:prod- Run production server with TypeScriptnpm run start- Start compiled servernpm run prod- Run compiled server in production modenpm run inspect- Run MCP inspector on the server
Usage
Add server to Cursor
Add server to Claude Desktop
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 integrationethers: Ethereum interaction@smarttokenlabs/waterfall-rpc: RPC management
AI Services
@anthropic-ai/sdk: Anthropic AI integration@google/generative-ai: Google Gemini integrationopenai: OpenAI integration
Server
express: Web server framework@fastify/cors: CORS support
Development
typescript: Type safetyts-node: TypeScript execution- Various type definitions
Development
The project follows TypeScript best practices and is structured around:
server.ts: Main MCP server implementationprocessTransaction.ts: Transaction analysis logictenderly.ts: Tenderly API integration
License
MIT License
Author
James Brown ([email protected])
Support
For issues and feature requests, please create an issue in the repository.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










