Concordia MCP
Provides comprehensive analytics for Solana wallets, including real-time portfolio insights and detailed DeFi activity tracking.
Concordia MCP
An advanced Model Context Protocol (MCP) server that provides comprehensive analytics for Solana wallets, offering real-time portfolio insights and detailed DeFi activity tracking.
📊 Features
- Portfolio Performance Metrics: Track ROI, historical performance, and asset allocation
- Cross-Protocol Position Monitoring: Unified view of assets across Solana's DeFi ecosystem
- Behavioral Analytics: Advanced pattern recognition for trading and investment habits
- Smart Strategy Suggestions: AI-powered recommendations based on market conditions and risk profile
- Transaction Intelligence: Deep contextual analysis of on-chain activities
🔌 Supported Protocols
| Protocol Category | Supported Platforms |
|---|---|
| DEX & Swaps | Jupiter, Raydium, Orca |
| Liquid Staking | Marinade, Lido |
| Lending | Solend, Mango Markets |
| Orderbook | Serum DEX V3 |
| NFT Marketplaces | Metaplex, Magic Eden |
| Concentrated Liquidity | Orca Whirlpools, FluxBeam |
🚀 Getting Started
Prerequisites
- Node.js v16+
- pnpm
- Solana RPC endpoint
Installation
# Clone the repository
git clone https://github.com/The400MillionDollarCorporation/portfolio_tracker.git
cd portfolio-tracker
# Install dependencies
pnpm install
Configuration
Create an .env file with your configuration:
SOLANA_RPC_URL=https://mainnet.helius-rpc.com/?api-key=ad83f75e-b1c4-4fbd-b405-866fe3b9c558
Note: This is a live, rate-limited RPC URL provided for convenience. For production use, it's highly recommended to obtain your own dedicated RPC endpoint.
Usage
# Production build
pnpm run build
# Run with MCP Inspector for testing
npx @modelcontextprotocol/inspector node build/index.js
🖥️ Claude Desktop Integration
Add the following configuration to your claude_desktop_config.json:
{
"mcpServers": {
"solanaTracker": {
"command": "node",
"args": ["${absolutePath}/build/index.js"],
"env": {
"SOLANA_RPC_URL": "https://your-rpc-endpoint.com"
}
}
}
}
Core Features of Our Portfolio Tracker
Portfolio Analytics
- Token balance history visualization
- Investment performance relative to market benchmarks
- Impermanent loss calculations for LP positions
- APY/APR tracking across protocols
Risk Intelligence
- Liquidity exposure analysis
- Protocol concentration warnings
- Smart contract risk assessment
- Slippage and price impact predictions
Behavioral Insights
- Trading timing analysis
- Gas efficiency recommendations
- Yield optimization opportunities
- Strategy comparison with similar wallets
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
📜 License
This project is licensed under the MIT License - see the LICENSE file for details.
📧 Contact
For questions or support, please open an issue on the GitHub repository.
관련 서버
Preloop
Preloop is an event-driven AI automation platform with built-in human-in-the-loop safety based on MCP proxying.
Shopify MCP Server
Interact with Shopify store data such as products, customers, and orders using the GraphQL API.
Railway MCP Server
Manage Railway infrastructure through natural language using the Railway API.
MCP-OpenStack-Ops
A comprehensive MCP (Model Context Protocol) server providing OpenStack cluster management and monitoring capabilities with built-in safety controls.
AWS CloudTrail
This AWS Labs Model Context Protocol (MCP) server for CloudTrail enables your AI agents to query AWS account activity for security investigations, compliance auditing, and operational troubleshooting.
Strava MCP Server
Access the Strava API to query athlete activities data.
Cloudflare Remote MCP Server
A remote MCP server deployable on Cloudflare Workers or runnable locally, requiring no authentication or external data files.
WaveGuard
Physics-based anomaly detection via MCP — send any data, get anomalies back using wave-equation dynamics. No training pipelines, no model files.
Fleet-MCP
Enables AI assistants to interact with Fleet Device Management for device management, security monitoring, and compliance enforcement.
Dazzle
Cloud stages for AI agents — isolated browser environments that render and broadcast your content to Twitch, Kick, Restream, and custom RTMP.