437 boosters for "agents" — open source, verified from GitHub, ready to install
"id": "ai.proofslip/mcp-server", "name": "ProofSlip", "description": "Receipt-based verification for AI agent workflows — create, verify, and poll ephemeral proof objects",
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.
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.
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.
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.
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.
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.
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.
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.
"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.",
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 JavaScript-based system for dynamically creating and modifying AI agents without recompilation, enabling local LLM developers to test and share agent configurations interactively.
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.
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.
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.
An intelligent agent selection system that evaluates and ranks AI agents for different SDLC phases, enabling teams to automatically match optimal agents to tasks with confidence scoring and human oversight. Ideal for organizations managing multi-phase software development pipelines with diverse agent capabilities.
The tq booster teaches AI agents how to use the tq agent-first Git-compatible task queue system for managing, claiming, and resolving tasks in distributed workflows. It's valuable for teams using Claude Code that need structured task management without polluting their main repository.
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.
Smith is a feedback validation agent that uses parallel research sub-agents to rigorously critique code feedback and plans, ideal for teams needing systematic validation of technical reviews.
An emergency escalation agent that routes system problems to human operators when any agent encounters errors or uncertainty. Useful for systems requiring human oversight, but highly specialized and environment-dependent.
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.
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.
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.
