179 boosters for "analysis" — AI-graded, open source, ready to install
A structured debugging protocol for Cursor that guides developers through systematic root cause analysis using a phased reconnaissance, isolation, and investigation approach to resolve persistent bugs.
Enables Claude to search and read Confluence pages as markdown, making it easier for teams to access and analyze documentation programmatically. Developers and knowledge workers benefit by automating Confluence content retrieval and analysis tasks.
An emergency response toolkit combining shellcode analysis and Linux incident response for security researchers and DevOps teams performing threat investigation and system forensics.
Excel Analyser MCP is a Node.js tool that enables Claude to read and analyze Excel, CSV, and JSON files with automatic pagination support. It's ideal for data analysts, developers, and business users who need to process large datasets directly within Claude conversations.
TransBigData is a comprehensive Python toolkit for traffic and geospatial big data analysis, including trajectory processing, taxi OD extraction, metro network analysis, and visualization. It's ideal for transportation data scientists, urban planners, and mobility researchers handling GPS traces and spatio-temporal datasets.
A performance analysis booster that helps developers identify and optimize code bottlenecks using AI-assisted code review. Useful for developers seeking to improve application efficiency and runtime performance.
An MCP server that integrates Obsidian knowledge vaults with Claude, enabling AI-powered graph analysis, semantic search, and knowledge management across notes. Ideal for researchers, knowledge workers, and developers who want to leverage AI on their personal knowledge bases.
Give your AI agents super-vision: blazing-fast macOS screenshots, smart window targeting, and local or cloud AI image analysis—all via a friendly Node.js MCP server.
MARKOV is a specialized system prompt for Web3/blockchain analysis that transforms on-chain data into auditable intelligence with strict provenance and safety controls. It's designed for analysts, traders, security teams, and developers working with blockchain data across multiple AI platforms.
BLACKBOX ALPHA v3.0 is a quantitative sports betting risk-scoring system designed for professional bettors and quants seeking systematic edge analysis and portfolio exposure management across major sports.
A system prompt for financial analysis and workflow orchestration designed to enable AI assistants (Claude, ChatGPT) to function as institutional finance engines with structured reasoning and tool integration capabilities.
An MCP server that analyzes Webflow sites for SEO, structure, performance metrics, and user touchpoints using browser automation. Useful for Webflow designers, developers, and agencies seeking automated site auditing and analysis.
An MCP server that connects Claude AI to Meta's Threads platform, enabling automated posting, analytics, and thread management through 50+ API methods. Developers building AI assistants for social media automation or content analysis on Threads will find this particularly useful.
Cursor Rules template providing a problem-solving methodology framework for AI-assisted debugging and code analysis. Useful for developers seeking structured approaches to troubleshooting within Cursor IDE.
SDET is a skill that enables AI assistants to design and build comprehensive test automation infrastructure, including end-to-end tests, coverage analysis, and testing strategy. It benefits developers who need robust automated testing frameworks and QA engineers seeking to identify and close testing gaps.
A Git history analysis specialist agent that uncovers why code exists and how it evolved by examining commits, blame annotations, and development patterns. Developers benefit by quickly understanding architectural decisions and past implementation attempts without manually digging through git logs.
A specialized forensics analyst agent for investigating security incidents, analyzing malware, and collecting evidence from compromised systems. Ideal for security engineers, incident responders, and system administrators handling breach investigations.
A Model Context Protocol (MCP) server that integrates Stylelint CSS linting capabilities into Claude Desktop and Claude Code, enabling AI-assisted CSS code quality analysis and style rule enforcement.
An MCP server that integrates Reddit API functionality into Claude, enabling AI assistants to access subreddits, posts, comments, and search data. Useful for developers building AI applications that need Reddit data enrichment and analysis capabilities.
SmartFlowAI provides Cursor-specific coding rules for building a business process analysis tool using Python, Streamlit, and OpenAI, designed for 10xdev course participants. It guides developers on code structure, style conventions, and AI assistant behavior for rapid, maintainable development.
An AI-powered code auditing tool that integrates with Claude Desktop via MCP protocol, using local Ollama models to analyze code for security vulnerabilities, performance issues, and quality concerns without sending code to external services. Developers and security teams benefit from automated, privacy-preserving code reviews with customizable analysis parameters.
A specialized debugging assistant for CalendarBot applications running on Raspberry Pi Zero 2W, helping developers diagnose test failures, performance issues, memory leaks, and calendar-specific bugs in resource-constrained environments.
Intent Analyzer is an agent that applies critical-analysis patterns to assess whether software components actually fulfill their stated purpose, generating alignment scores between intent and implementation. It benefits developers and architects who need to audit codebase quality and ensure declared functionality matches real behavior.
This MCP server integrates Google's Gemini vision model to enable Claude with fast, reliable image and video analysis capabilities. Developers and Claude users benefit from direct visual content understanding without external API calls.
