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# AI-Generated Development Plan - 2025-06-12 ## Repository Overview The solana-mcp-server repository implements a Model Context Protocol (MCP) server that provides comprehensive access to Solana blockchain data via a variety of RPC methods. Written in Rust with deployment scripts for multiple environments (local, Docker, Kubernetes, etc.) and extensive documentation, the project focuses on delivering a robust interface to query blockchain information, but it faces challenges around rigorous input validation, robust error handling, and production observability. ## Critical Fixes (ASAP) 🚨 1. Security & Input Validation Enhancements [Size: S, Priority: Must, Risk: High] - Although recent commits indicate improvements, it is critical to ensure that all RPC endpoints thoroughly validate incoming data to prevent malformed requests and potential injection attacks, as any oversight here could lead to exploitation. 2. Robust Error Handling and Logging [Size: S, Priority: Must, Risk: Medium] - Strengthen error propagation and logging to ensure that any issues during RPC calls are clearly captured and monitored, supporting faster incident response and reducing potential downtime. 3. Lack of comprehensive authentication and authorization checks on RPC endpoints [Size: S, Priority: Must, Risk: High] 4. Insufficient rate limiting and throttling controls, exposing the system to potential DoS attacks [Size: S, Priority: Must, Risk: High] 5. Potential concurrency race conditions in shared resource handling under high load [Size: M, Priority: Must, Risk: Medium] ## Missing Components 📋 1. Comprehensive Integration & Performance Testing Suite [Size: M, Priority: Must] - Despite the existence of tests in the repository, a more extensive suite that simulates high-load scenarios and validates the full range of RPC methods is essential for ensuring reliability and scalability in production. 2. Observability & Monitoring Integration [Size: M, Priority: Should] - Integration with tools such as Prometheus or Grafana for real-time monitoring and logging would provide critical insights into system performance and health, reducing the risk of unnoticed failures in live deployments. ## Required Improvements 🔧 1. API Rate Limiting & Throttling [Size: S, Priority: Must, ROI: High] - Implementing rate limiting on the RPC endpoints can prevent abuse and ensure that resource-intensive blockchain queries do not overwhelm the server, thereby improving overall service stability. 2. Enhanced Developer Onboarding Documentation [Size: S, Priority: Should, ROI: Medium] - While documentation is extensive, a streamlined guide focused on new developer onboarding, including detailed instructions for testing, debugging, and deployment, would reduce the ramp-up time and foster broader community contributions. ## Innovation Ideas 💡 1. Automated Caching for Frequent RPC Calls [Size: M, Priority: Could] - Introducing a caching mechanism for RPC calls that fetch frequently requested blockchain data could reduce latency and improve performance during peak loads. 2. Dynamic Scaling Capabilities for Containerized Deployments [Size: L, Priority: Could] - Explore the integration of autoscaling strategies (especially in Docker/Kubernetes environments) to better handle variable traffic loads and ensure consistent performance. 3. Real-Time Analytics Dashboard [Size: M, Priority: Could] - Develop a dashboard that visualizes real-time metrics such as RPC call response times, error rates, and request volumes to provide operational insights and enable proactive system management. --- *This milestone was generated automatically by AI analysis. All items have been broken down into individual GitHub issues for tracking and implementation.*
Overdue by 3 month(s)•Due by June 19, 2025•3/8 issues closed