Repository History
29 repositories tagged with ai-agents
MCPJungle: Self-Hosted MCP Gateway for AI Agents and Tool Management
MCPJungle is an open-source, self-hosted Model Context Protocol (MCP) Gateway designed for managing AI agents and their tool-calling capabilities. It allows developers and organizations to centralize the registration, discovery, and consumption of MCP servers and their tools, enhancing security and control over AI agent interactions.
brightdata-mcp: Empowering AI with Real-time Web Access and Data Scraping
The brightdata-mcp is a powerful Model Context Protocol (MCP) server developed by Bright Data, designed to give AI agents real-time web access. It provides an all-in-one solution for seamless public web interaction, ensuring Large Language Models (LLMs) can access live information without encountering blocks or CAPTCHAs. This open-source project offers robust web scraping, browser automation, and data extraction capabilities.
mcp-agent: Build Effective AI Agents with Model Context Protocol in Python
mcp-agent is a powerful Python framework designed to help developers build effective AI agents using the Model Context Protocol (MCP) and simple, composable workflow patterns. It fully implements MCP, providing robust support for agent lifecycle management and integrating patterns from Anthropic's 'Building Effective Agents'. This framework simplifies the creation of durable, production-ready agent applications.
Browserable: Open Source Browser Automation for AI Agents
Browserable is an open-source and self-hostable library designed to empower AI agents with advanced browser automation capabilities. It enables agents to navigate websites, fill out forms, click buttons, and extract information efficiently. With a strong performance on Web Voyager benchmarks, Browserable provides a robust foundation for building intelligent AI-driven web interactions.
HexStrike AI MCP Agents: AI-Powered Cybersecurity Automation Platform
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents, such as Claude, GPT, and Copilot, autonomously run over 150 cybersecurity tools. It enables automated pentesting, vulnerability discovery, bug bounty automation, and security research. This platform seamlessly bridges large language models (LLMs) with real-world offensive security capabilities.