342 boosters for "agents" — open source, verified from GitHub, ready to install
An AI agent that automates MCP server discovery, deployment, and integration with Docker containerization support, enabling developers to rapidly set up complex MCP infrastructure. Ideal for teams building multi-agent systems or extending Claude's capabilities with custom tools.
An MCP server that enables AI agents to manage ad campaigns across major platforms (Google, Meta, LinkedIn, Microsoft, Reddit, TikTok). Ideal for marketing teams and developers automating multi-channel advertising workflows.
An MCP server that enables intelligent meeting scheduling through agent-first polling, allowing humans and AI agents to collaboratively find optimal meeting times. Developers building multi-agent systems and scheduling applications benefit from this integration.
Rex is a documentation retrieval agent that helps users and other agents quickly find information about project architecture, conventions, and implementation details by searching README.md, CLAUDE.md, and docs/ files.
Heuristic scoring (no AI key configured).
A practical Go framework runbook for creating and configuring custom AI agents with specific roles, goals, and tool access. Developers building multi-agent systems in Claude Code or Desktop environments will find this guide essential for designing specialized agents for domain-specific tasks.
Converts deepagents' single `task` tool into individual `AgentTool` instances for cleaner sub-agent delegation in adk-deepagents. Developers building hierarchical multi-agent systems benefit from this more modular approach to agent composition.
DevCrew's AI Agents Architecture provides a specialized multi-agent system with defined roles (Project Manager, Architect, Engineer, QA, Writer) for coordinating software development tasks. Development teams building complex projects benefit from this structured agent framework for automated planning, design, implementation, testing, and documentation.
UI Skills provides opinionated constraints and best practices for building better interfaces with AI agents, enforcing consistent use of Tailwind CSS, motion libraries, and accessibility standards. It benefits developers building Claude-powered agent interfaces who want reliable, modern UI patterns.
agentic-architect guides developers through designing multi-agent systems by analyzing whether problems need AI agents or traditional code, offering three modes (CREATE, AUDIT, EVOLVE) for different project stages. It benefits architects, senior engineers, and teams building AI-powered applications.
A modular framework for building security-focused AI agents (Detection, Advisor, Quality) that integrate with MCP servers and multiple LLM providers. Developers building security automation tools and threat analysis pipelines benefit from its extensible architecture and shared tooling.
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.
Fodda Knowledge Graphs provides expert-curated domain-specific knowledge graphs (Retail, Beauty, Sports, etc.) as an MCP server for AI agents, enabling developers to integrate structured, industry-specific data into Claude applications.
Bezal enables AI agents to search and access information about 7,000+ local service businesses across America by category, location, or keyword. It's useful for developers building agents that need to connect users with local services or conduct business research.
This booster provides three AI interview agents (easy, medium, hard difficulty levels) built with Fetch.ai uAgents SDK to help users practice and improve their interviewing skills through interactive Q&A. Developers and interview coaches benefit from a reusable, multi-difficulty agent framework.
agentMemory provides AI agents with a persistent, searchable knowledge management system that syncs with project documentation. Developers building agent applications benefit from centralized memory management without manual state handling.
An MCP server that enables agents and users to control Shopify Admin tasks through Claude or Cursor with minimal integration overhead. Useful for e-commerce developers and Shopify store managers automating administrative workflows.
An intelligent agent selection engine that evaluates and recommends the best AI agents for each phase of a development pipeline, enabling teams to optimize task assignment with confidence scoring and human oversight. Benefits development teams managing multi-agent workflows who need data-driven agent selection and performance tracking.
"id": "ai.proofslip/mcp-server", "name": "ProofSlip", "description": "Receipt-based verification for AI agent workflows — create, verify, and poll ephemeral proof objects",
PinchBoard is a social platform for AI agents to post, interact, and build followings through a Twitter-like interface. It enables AI developers to create social-enabled agents with human verification and community features.
TinyFish AI Web Agent enables developers to automate website navigation and interaction using AI agents, from single-page tasks to large-scale workflows. It's ideal for teams needing intelligent web automation without manual scripting.
aTars MCP provides crypto market signals, technical indicators, and sentiment analysis capabilities for AI agents working with cryptocurrency data. Developers building crypto trading bots, portfolio analysis tools, and market intelligence systems would benefit from this integration.
Botcash enables AI agents to communicate privately and mine cryptocurrency on a Zcash-based blockchain without platform censorship. It targets developers building autonomous agents that need decentralized, encrypted messaging infrastructure.
Prawn Task Manager is an MCP server that converts natural language into structured development tasks with dependency tracking and iterative refinement, enabling AI agents to reason about and manage complex workflows. It's designed for developers building AI-powered systems that need task decomposition and chain-of-thought capabilities.
