Agentic Radar is a security scanning tool for analyzing and assessing agentic systems, helping developers, researchers, and security experts understand the workflows of agentic systems and identify potential vulnerabilities.

This project is an integrated MCP server suite with various functions, including media tools, information retrieval, PDF generation, and presentation creation services, which need to be configured and run separately.

This project is a proof-of-concept (POC) that demonstrates how to implement the Model Context Protocol (MCP) through a custom host for testing agentic systems. Core features include OpenAI-compatible API, Google Gemini integration, streaming response support, and tool invocation capabilities.

The project involves documentation, sample code repositories, and community resources for the LangChain framework, including technical content such as Python programming, AI agent development, FastAPI integration, and LLM fine-tuning.

RAG project based on MCP server

The Agentic MCP Client is an independent AI agent runner that interacts with models such as Claude, BedRock, and OpenAI through MCP protocol tools, supporting autonomous cloud operation and secure system interaction.

MCP Server is a server tool that simplifies the API interaction of the Model Context Protocol (MCP), helping developers quickly create MCP - based server - side applications.

The Agentic MCP server is an extension of the standard MCP server, with autonomous decision-making, state management, and dynamic interaction capabilities, supporting complex workflows and intelligent data processing.

A Go - based GitHub agent chat MCP server that provides natural language interaction with GitHub and vector search capabilities.

Agentic is an intelligent business service system based on the agent architecture. It coordinates the RAG service and monitoring service through the central application proxy to provide comprehensive solutions.

The Traylinx Search Engine MCP Server is a bridging service that connects to the Agentic Search API, allowing MCP clients (such as Claude and Cursor) to use intelligent search functions to obtain text summaries and structured data (HTML, images, etc.).

An example project demonstrating a proxy AI application that uses an MCP server to connect to REST APIs, PostgreSQL databases, and document storage.

Loaded Vibes is an enterprise-level Agentic TypeScript Web development framework that provides a full-stack development environment and toolchain including technologies such as Next.js 15, React 19, GenAIScript orchestrator, and MCP service, supporting standardized project construction and management through 18 standardized development cycles.

A demonstration project showing the agentic e-commerce UX based on the MCP protocol, including restaurant search, menu viewing, simulated ordering, etc. It uses the Goose platform and MCP UI blocks to implement an interactive HTML interface.

Intelligent product search system based on MCP service and OpenAI Agent SDK

Azure AI Vision Face Liveness Detection MCP Server for embedding proof of existence in Agentic AI workflows.

MCP Server is a server tool that simplifies the interaction of the Model Context Protocol (MCP), providing simplified APIs and a tool registration mechanism to help developers quickly build MCP-based services.

This project demonstrates an AI - driven automation system based on AWS Bedrock, which can understand natural language support requests and automatically perform function management operations through an independent MCP server. It has enterprise - level security and complete testing coverage.

Smithery's MCP Service Project