#agno

TestDino MCP boosts your AI assistant with powerful tools and analysis capabilities. It lets your AI analyze test runs, perform root-cause analysis, and detect failure patterns

Agentic assistant that handles the complexity while you focus on results. With MCP support and advanced Orchestrator/Agent capabilities, BB connects to hundreds of external data sources & tools and breaks down complex tasks for maximum efficiency.

High-performance XML file comparison with semantic analysis capabilities. Features StAX streaming parser for memory-efficient processing of large XML files (60MB+ tested), order-agnostic semantic comparison, and multiple output formats (text, JSON, Excel). Includes 5 MCP tools for comprehensive XML analysis and comparison.

MCP wrapper for osquery

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, CrewAI, RAG, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

The portable alternative to Cursor Rules and IDE-specific rules. Transform your project documentation into intelligent AI context using standard Markdown files that work across any MCP-compatible AI tool. Escape vendor lock-in and scattered documentation forever.

A web-hosted AI chat platform available at moopoint.io, designed for developers and advanced users to interact with multiple large language models (LLMs) through a single, unified interface. The platform allows seamless integration with custom MCP servers and gives users secure control over their own API keys for providers such as OpenAI, Anthropic, and others.

MCP Server for starting new projects

APUS岐黄（医疗）& 智草（中医）大模型的MCP服务

Zerodha MCP Server & Client (Kite x Agno)

An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.

Test repository for MCP server

MCP Server to get system info

AI-powered code quality analysis using MCP to help AI assistants review code more effectively. Analyze git changes for complexity, security issues, and more through structured prompts.