826 boosters for "Agent" — open source, verified from GitHub, ready to install
"name": "heor-agent-mcp", "mcpName": "io.github.neptun2000/heor-agent", "author": "mnaumov",
Augure is a proactive AI agent MCP server that integrates with Claude Desktop and Claude Code, enabling automation through Telegram, email, Docker, and scheduled tasks. It's designed for developers and power users who need an intelligent agent to automate workflows and manage integrations across multiple platforms.
The ops agent automates infrastructure management, deployment, and cloud operations for DevOps teams. Developers and DevOps engineers use it to streamline CI/CD pipelines, monitor systems, and maintain production reliability.
Project: platform-agents is a production deployment initiative for an OSSA v0.3.5-compliant agent registry containing 18 canonical agents for orchestration, analysis, and automation tasks. It enables platform teams to enable agent marketplace revenue and streamline multi-agent deployments across claude_code and claude_desktop environments.
Node Code Sandbox MCP enables AI agents and LLMs to safely execute JavaScript code, install npm packages, and test implementations in real-time. Developers building coding assistants, automated testing tools, and interactive AI applications benefit from this secure, MCP-compliant execution environment.
"name": "claude-kit", "description": "Configuration factory for Claude Code — 16 skills, 7 agents, 15 stacks, 6 hooks, audit scoring (0-10), and practices pipeline. Bootstrap, sync, audit any project.", "name": "Luis Eiman",
A system prompt for automating browser-based tasks using AI agents with Playwright and Gemini, enabling developers to build automated workflows for web interactions like job searches and email management across multiple AI platforms.
An MCP server that enables Claude to automate browser interactions using Playwright, allowing AI agents to browse websites, fill forms, and interact with web applications programmatically.
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.
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.
The Strategic Queen Agent is a high-level orchestration agent that coordinates complex multi-agent workflows and enterprise decision-making across distributed systems. It benefits platform engineers and DevOps teams managing large-scale agent-based architectures who need centralized control and monitoring.
Cursor-Demo provides a comprehensive set of development rules and workflows (SPARC methodology) designed to guide AI-assisted coding in Cursor with emphasis on code quality, security, and structured collaboration between human developers and autonomous agents.
A DevOps agent specialized in managing GCP infrastructure, Docker operations, and system troubleshooting—ideal for teams handling cloud deployments and containerized applications. Developers and DevOps engineers benefit from automated infrastructure management and debugging capabilities.
A comprehensive guide for orchestrating specialized Claude Code sub-agents through Flow queues to automate complex, multi-phase workflows. Developers building sophisticated AI automation systems will benefit from learning these agent coordination patterns.
A project management agent that claims to apply consciousness principles and pattern optimization to multi-agent workflows. Target audience is unclear and practical applicability is questionable.
This booster helps developers design and implement the Moltrouter Protocol (MRP), a system for agent-to-agent discovery, capability negotiation, and routing. It's useful for teams building multi-agent systems that need standardized communication and service discovery.
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.
A comprehensive system prompt and structural guide for building production-ready GenAI applications with clear rules, templates, and best practices across multiple AI platforms. Developers building AI agents and structured LLM applications benefit from its emphasis on proper configuration, testing, and code standards.
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.
MRF is a security-hardened metaprompting framework designed to protect AI agents from prompt injection attacks while enabling structured decision-making. It benefits developers building production agents on Claude platforms who need robust input sanitization and instruction clarity.
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.
A production-grade technical writer agent that automates API documentation, user guides, tutorials, and code examples with enterprise-level reliability. Ideal for development teams needing consistent, high-quality technical documentation at scale.
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.
An MCP server enabling AI agents to communicate, delegate tasks, and maintain diagnostic visibility throughout execution lifecycles. Developers building multi-agent systems and orchestration platforms benefit from streamlined agent coordination.
