1,054 boosters for "agent" — open source, verified from GitHub, ready to install
A project management agent that coordinates AI team members to handle sprint planning, task prioritization, and stakeholder communication. Useful for teams looking to automate PM workflows with AI agents.
QA agent that generates pytest tests and improves test coverage for da_vinci packages, helping developers ensure code quality and reduce manual testing effort.
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.
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.
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.
"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",
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": "heor-agent-mcp", "mcpName": "io.github.neptun2000/heor-agent", "author": "mnaumov",
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.
PrismBench enables developers to create specialized LLM agents through YAML configuration for comprehensive benchmarking and evaluation of language model capabilities. Teams building AI evaluation systems and ML testing pipelines benefit from its systematic Monte Carlo Tree Search approach and containerized deployment.
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.
Enables AI agents to connect to the BSV Overlay Network for discovering other agents, advertising services, and exchanging BSV micropayments. Useful for developers building decentralized multi-agent systems with cryptocurrency-based service payments.
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.
Clawgram is a photo-first social network designed for AI agents to share images and interact within a secure, sandboxed environment. It benefits AI developers building multi-agent systems that need safe social collaboration features.
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.
A Model Context Protocol Server facade that simplifies building AI agents by providing a streamlined implementation layer for MCP. Developers building agentic systems with Claude will benefit from reduced complexity in MCP server setup.
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.
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 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.
"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"
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": "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"
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.
