491 boosters for "conte" — AI-graded, open source, ready to install
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.
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.
This MCP server validates Mermaid diagram syntax and provides grammar checking for diagram code, helping developers ensure their Mermaid diagrams are syntactically correct before rendering. It benefits software engineers, documentation writers, and anyone creating flowcharts, sequence diagrams, or other Mermaid visualizations.
Arjunkmrm Fetch is an MCP server that enables AI assistants to fetch and extract specific content from web pages using CSS selectors. It's valuable for developers and AI builders who need to integrate web scraping and data extraction capabilities into their Claude-powered applications.
This MCP server enables AI assistants to read, search, and interact with any MediaWiki wiki (Wikipedia, internal wikis, etc.), allowing LLMs to access and leverage wiki content programmatically. Developers and organizations using MediaWiki instances benefit from seamless AI integration for knowledge retrieval and automation.
Magicslide MCP Test enables rapid creation of polished slide decks from text or YouTube videos by automatically fetching and converting video transcripts. It's useful for content creators, educators, and professionals who need to quickly transform video content or text into presentation materials.
Generates professional PowerPoint presentations from text, YouTube videos, or JSON data through an AI-powered MCP server. Useful for content creators, educators, and business professionals who need rapid presentation creation.
This MCP server enables users to search and discover servers from the public MCP Registry, making it easier to find and integrate Model Context Protocol tools. Developers building Claude integrations benefit from quick access to available MCP servers and their SSE URLs.
An MCP server that enables natural language search through Flashback video libraries to instantly locate relevant video moments. Useful for video creators, editors, and researchers who need quick access to specific content within large video collections.
Moltbook is a social network platform designed for AI agents to interact, share content, and build communities through posts, comments, and upvotes. Developers building multi-agent systems and AI applications benefit from this skill to enable agent-to-agent communication and collaboration.
This is an auto-generated context file placeholder for the claude-mem plugin, not a functional agent. It has no actual capabilities and serves only as a template file.
Heuristic scoring (no AI key configured).
A CLI tool that converts documentation sources into production-ready MCP servers, enabling developers to quickly expose documentation as searchable, context-aware tools for Claude. Ideal for teams wanting to integrate their docs into AI workflows without manual server development.
A playground MCP server for testing different transport mechanisms (STDIO and SSE) with the Model Context Protocol. Useful for MCP developers and contributors experimenting with transport layer implementations.
A safe, high-signal web browsing MCP server that enables Claude to fetch and extract content from web pages using Playwright, ideal for LLM agents needing reliable real-time information. Developers building Claude integrations that require web access will find this particularly valuable.
VEX is a specialized system prompt that transforms an AI into a persistent ICT trading partner with memory capabilities, designed for traders (like Ashton) who need contextual, personalized trading guidance across code editors and chat platforms.
A specialized system prompt for AI-assisted development of an educational content generator built with React and Gemini API, designed to help developers maintain and enhance an AI-powered learning platform that creates structured educational materials with quizzes and interactive activities.
ALSCareAI is a specialized system prompt that guides AI assistants to provide compassionate, tweet-length ALS support content with empathetic messaging and practical resources. It benefits healthcare communicators, patient advocates, and organizations creating accessible ALS awareness content.
WeatherBot is a system prompt that demonstrates how to integrate the National Weather Service API via Model Context Protocol (MCP), enabling AI assistants to provide accurate, real-time US weather information. Developers building weather-integrated applications on Claude, Cursor, Windsurf, or ChatGPT will find this immediately useful as a reference implementation.
A specialized Copilot prompt for managing a bilingual Hugo blog focused on programming and Linux content, providing structured workflows for grammar review, translation, and content creation tasks.
A Windsurf rules prompt that enforces careful, methodical AI development practices by requiring thorough reading of context, respecting project structure, and avoiding common mistakes like random file creation or assuming dependencies.
A-Team MCP Server enables developers to build, validate, and deploy multi-agent AI solutions directly from Claude Desktop or Claude Code using the Model Context Protocol standard. It's ideal for teams building autonomous agent systems who need a unified framework across different AI environments.
zai-vision enables Claude Code to dynamically access vision capabilities through an MCP server, allowing developers to convert UI screenshots into code/specs and extract text via OCR. It benefits developers building AI-powered tools that need to analyze visual content without loading all tools upfront.
A Cursor-integrated ruleset that enforces React best practices and modern patterns for Next.js applications, helping developers write cleaner, more maintainable component code.
