#agentic-workflow

mcp-probe-kit is a protocol-level toolkit designed for developers who want AI to truly understand their project's intent. It's not just a collection of 21 tools—it's a context-aware system that helps AI agents grasp what you're building.

AgentNull: AI System Security Threat Catalog + Proof-of-Concepts. Collection of PoCs for using Agents, MCP, and RAG in bad ways.

Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.

API service to search vectorized Cursor IDE chat history using LanceDB and Ollama

This repository provides an implementation of a Model Context Protocol (MCP) server for AWS S3, enabling AI models, particularly Large Language Models (LLMs), to securely interact with S3 buckets. The server offers a standardized interface to list S3 buckets, list objects within buckets, and download file contents.

MCP Agent Graph (MAG) is an agent development framework for rapidly building agent systems. This project is based on graphs, nodes, and MCP to quickly construct complex Agent systems.

A security scanner for your LLM agentic workflows

Japanese Vocab Anki MCP Server

Containerized versions of hundreds of MCP servers 📡 🧠

An AI-driven MCP server that autonomously interfaces with Malware Bazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.

About This repository features a collection of agentic AI projects across various domains, showcasing practical applications of AI agents with different frameworks, techniques, and tools.

An MCP ( Model Context Protocol ) Server for Grafana Tempo

An MCP ( Model Context Protocol ) Server for Grafana Loki

The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.

MCP (Model Context Protocol) server wrapping Crawl4AI library as functions using Python

Total Sanity Project-perfect repository for defining utilities, fields, component schemas, documents in sanity. Here everything you need for sanity configuration, project building.

A Simple MCP Server for enabling agentic workflow

The definitive Vibe Coder's sanity check MCP server: Prevent cascading errors in AI workflows by implementing strategic pattern interrupts. Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.