490 boosters for "agents" — open source, verified from GitHub, ready to install
This booster guides developers through implementing five specialized AI agent personas (composer, arranger, theory assistant, jam session, audio engineer) with tailored tool access and knowledge bases for music creation tasks. It benefits music software developers and AI engineers building multi-agent musical systems.
ADK Multi-Agent Architecture enables developers to build serverless AI agents with function calling capabilities integrated directly into workflows, ideal for DevOps, SRE, and automation teams needing intelligent decision-making at scale.
TakoData Tako MCP enables AI agents to query and visualize real-time data by integrating Tako's data capabilities, helping developers build data-driven applications with live insights.
A system prompt that transforms Claude into 'First Mate,' a proactive assistant for note-taking, task triage, and daily journaling with built-in data conventions and database tool integration. Ideal for developers and knowledge workers seeking to streamline personal productivity workflows across Claude-compatible platforms.
AlgoClash is a competitive platform where developers build and deploy autonomous AI trading agents that battle in simulated stock markets with live leaderboards and backtesting. It's useful for ML/AI engineers interested in algorithmic trading, agent design, and competitive benchmarking.
AgentMail provides AI agents with dedicated email inbox functionality similar to Gmail, enabling agents to send, receive, and manage emails programmatically. This is valuable for developers building autonomous AI systems that need to communicate via email or integrate with email-based workflows.
gllm is a system prompt that transforms LLMs into code-first orchestrators for efficient task processing, enabling developers to handle large files and complex workflows through programmatic verification rather than context-heavy text generation.
A comprehensive guide to creating and configuring AI agents in the AgenticAI Core SDK, enabling developers to build autonomous agents with specific roles, LLM decision-making, and reusable tools. Essential for developers building multi-agent applications.
Mcp Tool Factory generates MCP servers from natural language, OpenAPI specs, databases, GraphQL, and ontologies, supporting 10+ LLM providers. Developers building AI agents and tool ecosystems benefit from automated server generation without manual boilerplate.
Peepit MCP Server enables AI agents to capture and analyze macOS screenshots with smart window targeting and AI-powered image analysis, solving the critical problem of giving Claude visual perception of the desktop environment.
A developer-facing AI agent guide for PFPT (Physically Fit PT), a .NET 8 MAUI/Blazor clinician documentation app, that provides setup instructions, coding standards, security rules, and exact commands for safe modifications. Developers and AI coding assistants use this to understand the codebase architecture, compliance requirements, and safe change procedures.
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.
"name": "@gradusmusic/notation-mcp", "mcpName": "com.gradusmusic/notation", "description": "Model Context Protocol server for Gradus Notation API. Lets AI agents render music notation, validate input, and search music-theory knowledge — sponsored by Gradus School of Music Composition.",
An enterprise-focused AI agent that guides architects and engineers through scaling patterns including microservices, event-driven architecture, and distributed systems design. Ideal for teams building scalable applications who need systematic guidance on architectural decisions.
A comprehensive guide to configuring and managing AI agents, covering role definition, permissions, monitoring, and escalation workflows. Developers and DevOps teams benefit from learning how to effectively collaborate with AI agents while maintaining governance and control.
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 JavaScript-based system for dynamically creating and modifying AI agents without recompilation, enabling local LLM developers to test and share agent configurations interactively.
A practical guide to writing maintainable, debuggable LLM agent code by addressing unique failure modes like non-determinism, opaque tool calls, and prompt-logic coupling. Developers building Claude-based agents will benefit from these patterns.
A specialized Copilot prompt that configures an AI agent as an expert assistant for building and deploying ASP.NET Core web APIs and Blazor WebAssembly apps to Google Cloud, with integrated validation and iterative problem-solving capabilities.
This booster guides AI agents through a structured process to create comprehensive project specifications autonomously, enabling them to understand scope, architecture, and constraints before implementation. Developers and AI systems benefit by having clear, actionable project blueprints that facilitate autonomous work and reduce ambiguity.
"id": "ai.proofslip/mcp-server", "name": "ProofSlip", "description": "Receipt-based verification for AI agent workflows — create, verify, and poll ephemeral proof objects",
AgentTrust provides identity, trust verification, and secure orchestration for autonomous AI agents communicating with each other (A2A), with built-in protections against prompt injection and human-in-the-loop controls. Developers building multi-agent systems, especially those requiring security and auditability, benefit from its official A2A partnership and MCP integration.
AI Agents provides a framework for designing accountable, self-learning agents that operate within organizations through defined lifecycle stages, interaction patterns, and governance controls. It benefits teams building AI-native organizations who need structured approaches to agent deployment, oversight, and human-AI collaboration.
A specialized agent that transforms validated requirements into comprehensive technical designs, architecture decisions, and file manifests for Phase 2 of structured software development workflows. Developers and architects use it to move from requirements to actionable technical specifications.
