176 boosters for "integration" — open source, verified from GitHub, ready to install
Docker Buildx enables multi-platform container image builds with advanced caching and CI integration for developers working with containerized applications. DevOps engineers and backend developers benefit most from optimized build pipelines across architectures.
Automates configuration of container image registries (ghcr.io, Docker Hub, Harbor) with vulnerability scanning, image signing, and retention policies for secure CI/CD pipelines. Essential for DevOps engineers and platform teams managing containerized applications at scale.
This MCP server automates worklog generation by extracting and enhancing git commit data with AI, then syncing it to Povio dashboards. It's ideal for developers and teams using Claude/Cursor who need to streamline time-tracking and work documentation from their version control history.
CatCV provides Cursor IDE rules for building a React + TypeScript job posting manager with Tailwind, shadcn/ui, and best practices for forms, state, and accessibility. Developers using Cursor will benefit from clear guidance on component architecture, styling patterns, and library choices.
Documentation resource for Power Automate specialized agents that generates production-ready JSON workflow definitions. Useful for developers and automation engineers looking to create Power Automate flows programmatically.
A networking agent specializing in Retrofit and OkHttp for building secure, resilient HTTP APIs with features like SSL pinning and request interceptors. Essential for Android developers implementing production-grade API integration.
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.
Audius MCP Atris integrates the Audius music platform with Claude through the Model Context Protocol, enabling AI assistants to access music data and functionality via STDIO. Developers building AI applications that need to interact with Audius music metadata, streaming, or platform features will find this useful.
EROS is an AI specialist agent for designing behavior-based matching algorithms, LLM integration, and recommendation systems in dating applications. It helps backend, frontend, and database engineers implement ethical, explainable AI matching features.
An MCP server that integrates coding usage monitoring with AI tools like Claude, enabling developers to track and analyze their coding activity within their AI workflows.
scala-pro is an expert Scala development agent for building enterprise-grade systems using functional programming, distributed computing frameworks like Akka/Pekko/Spark, and reactive architectures. It's ideal for senior developers architecting scalable backend systems or optimizing complex distributed applications.
An MCP server that integrates Monti APM performance monitoring data with Claude, enabling developers to query and analyze Meteor/GraphQL application metrics directly through the Model Context Protocol. Ideal for Meteor developers using Monti APM who want AI-assisted performance analysis and debugging.
A Model Context Protocol server that integrates Jira with Claude, enabling AI-assisted project management and issue tracking workflows. Developers using Jira with Claude Desktop or Claude Code benefit from direct issue access and automation.
A skill that imports JIRA tickets via API or web scraping and converts them into local story files, enabling developers to quickly start implementation from their backlog. Useful for teams managing JIRA-based workflows who want to streamline ticket-to-code handoffs.
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.
A skill booster that automates the code wrap-up process for Claude development by providing a structured checklist for linting, testing, documentation, and code quality verification. Developers benefit from a standardized workflow that ensures code quality and reduces manual oversight tasks.
Promptmcp is an MCP server that automatically enhances AI prompts through intelligent framework detection and Context7 integration, helping developers craft better prompts with dynamic, organized testing capabilities.
This agent helps Node.js developers quickly integrate MongoDB, PostgreSQL, and MySQL databases into their applications using ORMs, query builders, and best practices like connection pooling and migrations. Ideal for backend engineers building scalable data-driven applications.
CatCV provides Cursor-specific AI integration rules for a React + TypeScript job posting manager, with best practices for model selection, structured outputs via Zod schemas, and prompt safety. Developers building AI-assisted recruitment tools will benefit from these production-ready patterns.
This MCP server integrates ResourceSpace digital asset management (DAM) with Claude and Cursor, enabling AI assistants to query, manage, and organize digital assets directly. It benefits teams managing large media libraries who want to leverage AI for asset discovery and workflow automation.
An expert AI engineer agent that helps developers build production-ready LLM applications, RAG systems, and intelligent agents with deep knowledge of modern AI stacks. Ideal for teams building chatbots, AI-powered features, and enterprise AI integrations.
Heuristic scoring (no AI key configured).
Binance Claude MCP Server enables Claude Desktop and Claude Code to interact directly with Binance cryptocurrency exchange APIs for real-time trading data and account management. Developers and traders benefit from seamless integration of AI-assisted trading workflows without manual API calls.
This MCP server integrates Jenkins CI/CD pipelines with Claude, enabling AI-assisted automation of build, test, and deployment workflows. It benefits DevOps engineers and developers who want to leverage AI for Jenkins management and troubleshooting.
