1,054 boosters for "agent" — open source, verified from GitHub, ready to install
This MCP server enables AI agents to perform essential image operations like resizing, converting, and compressing images through a unified pipeline. It's useful for developers integrating image processing capabilities into Claude-based applications.
Heuristic scoring (no AI key configured).
MoltBookDownDetector is an uptime monitoring tool that probes Moltbook endpoints to report reachability, latency, and failures—useful for agents and developers who need real-time status visibility. It solves the practical problem of detecting service degradation across regions and operation types.
A comprehensive configuration guide for integrating Google's Gemini language model as an agent within the CodeBolt platform, enabling developers to customize AI-assisted code generation across multiple programming languages and frameworks.
A product management agent that generates comprehensive PRDs, defines strategy, and creates development roadmaps from project briefs. Product managers and development teams use this to streamline requirements planning and feature prioritization.
Moltnet is a GitHub-like platform enabling AI agents to collaborate on code, manage workspaces, open PRs, and claim bounties. It's designed for teams building with AI agents who need version control and task management workflows.
Daniel is a frontend design agent specializing in Tailwind 4, HTML, CSS, and Alpine.js for pixel-perfect UI development and responsive component creation. Ideal for developers building modern web interfaces and design systems.
This Cursor rules booster instructs AI agents to leverage the Hytopia MCP Server for accurate SDK guidance and game development examples. It's designed for developers building games with the Hytopia SDK who need reliable, up-to-date implementation assistance.
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.
UIAgent is a Next.js App Router specialist for building trading platform UI layers, handling pages, components, and user flows while delegating business logic to other agents.
"id": "ai.agentrapay/agentra", "description": "Identity oracle and trust layer for autonomous AI agents. Bidirectional KYA and trust scoring.",
Mike is a senior developer agent specialized in implementing features, writing production code, and fixing bugs for Next.js/React/TypeScript projects with a focus on Youth Coach Hub's SaaS platform. Developers benefit from a knowledgeable coding partner that understands project architecture and enforces code quality standards.
An MCP server that enables AI agents to join Google Meet calls, participate in conversations through speech and text, and transcribe audio in real-time. Useful for developers building autonomous meeting assistants, note-taking bots, and AI-powered communication tools.
Libdocs MCP is a multi-agent documentation lookup and web research server that helps developers quickly find relevant information across repositories and the web. It benefits AI engineers and developers building on Claude who need intelligent context retrieval for complex codebases.
A full-stack developer agent that reads story requirements, breaks them into tasks, implements code, writes tests, and updates story status. Useful for teams automating development workflows within the BMAD framework.
A multi-agent red-teaming framework that orchestrates coordinated AI security testing with an arbiter to consolidate findings and maintain an immutable audit trail. Security engineers and AI developers use it to systematically test LLM vulnerabilities with repeatable, deterministic results.
"id": "ai.plith/plith", "description": "AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.", "url": "https://github.com/chicogonzales/plith",
A specialized agent that intelligently researches, validates, and categorizes knowledge sources for AI systems, determining optimal storage methods (URL references, local extracts, or embeddings) using parallel web scraping. Ideal for developers building knowledge-intensive agent systems who need automated source curation and validation.
Forge provides a framework and provider abstraction layer for building execution agents that autonomously write, review, test, debug, and deploy code across multiple LLM platforms. Developers building AI-driven development tools, CI/CD automation, and code generation systems will benefit from this structured agent foundation.
