953 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.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
A QA-focused agent that creates comprehensive test suites, identifies edge cases, and ensures code quality through systematic testing methodologies. Developers and QA engineers benefit from automated test strategy development and validation across different testing levels.
Loom Plan converts user ideas into structured tickets and implementation plans by leveraging memory recall to avoid reinventing solutions. It's useful for developers and teams who want to turn vague requests into actionable, sequenced work items.
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.
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.
Freshcontext MCP is a real-time web extraction server that provides AI agents with fresh, timestamped data from sources like GitHub, Hacker News, and Y Combinator. Developers building AI applications need current contextual information, making this especially valuable for agents requiring up-to-date web data.
This MCP server validates Mermaid diagram syntax and provides grammar checking for diagram code, helping developers ensure their Mermaid diagrams are syntactically correct before rendering. It benefits software engineers, documentation writers, and anyone creating flowcharts, sequence diagrams, or other Mermaid visualizations.
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.
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.
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.
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 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.
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.
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 multi-agent orchestration system that designs team compositions, manages shared context, and resolves conflicts to drive complex development tasks toward completion. Ideal for teams needing coordinated AI agents across multiple phases of development workflows.
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.
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.
DevWins provides Copilot Agent Mode instructions for building applications using tool-based context resolution and library documentation lookup. It benefits developers using Copilot who need structured guidance on leveraging library references and documentation within their workflow.
"name": "clirank-mcp-server", "description": "MCP server for API discovery and recommendations: help Claude Code, Codex, Cursor, Cline, and other coding agents choose APIs with current CLIRank data instead of stale model memory", "clirank-mcp-server": "./dist/index.js"
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.
"name": "cinderwright-mcp-server", "description": "Cinderwright Discovery Hub MCP Server - cross-protocol agent payments search engine + payment proxy. 2,811 services across x402, MPP, and Lightning. Includes proxy_do for zero-config task fulfillment.", "cinderwright-mcp": "index.js"
