MemoryMesh is a knowledge graph server designed for AI models, focusing on text role - playing games and interactive narratives. It helps AI maintain consistent and structured memory in conversations through dynamic schema definition and automatic tool generation, enabling a richer and more dynamic interactive experience.

The Pega DX MCP Server is an experimental project aiming to transform Pega Infinity™ applications into an intuitive conversational experience through the Model Context Protocol (MCP). It serves as a bridge between the Pega DX API and the natural language interface, enabling GenAI agents, IDEs, and other MCP-supported tools to interact with Pega Infinity™ applications using simple human-readable commands.

The MCP server officially provided by LAPRAS is used to access and operate job - seeking, work experience and other information on the LAPRAS platform through AI tools. It supports rapid deployment through npm or Docker and provides multiple functions such as job search and work experience management.

The React Native MCP server is a platform that provides comprehensive development tools, aiming to optimize the React Native development experience. It includes functions such as project initialization, version management, automated upgrades, and Expo integration. It simplifies the development process through AI assistance.

The TCL MCP Server is a server that supports AI agents to execute TCL scripts and manage the MCP tool ecosystem. It provides a secure sandbox and a developer-friendly experience, and supports multiple runtime environments.

An MCP server based on Deno and TypeScript that provides context information query functions for Terragrunt documentation and GitHub issues, aiming to improve the Terragrunt development experience and the accuracy of AI-assisted tools.

GitHub Copilot Memory Tool, designed for the new features of VS Code 2025. It allows Copilot to remember user preferences and work context through persistent memory, enhancing the personalized experience of the AI programming assistant.

The Graphiti MCP Server is a server based on multi - project knowledge graphs, supporting the rapid construction and management of temporary knowledge graphs for AI agents to query through the model context protocol. This project extends the official getzep/graphiti MCP Server, adds support for multiple servers and a single database, and provides a CLI tool with an optimized developer experience.

The MCP Dual Cycle Reasoner is a metacognitive enhancement tool designed for autonomous AI agents. Through a dual-cycle framework (sentinel monitoring and arbiter management), it enables anomaly detection and experience learning to enhance the self-awareness and reliability of agents.

Telegram MCP Server is a tool for remotely controlling AI programming assistants (Claude Code/Codex) via Telegram. It supports multi - session management, file operations, and smart polling for a truly unattended programming experience.

Essential MCP is a revolutionary AI - human interaction protocol that enables a more powerful and intelligent collaborative experience through a context management system, tool collection, and testing framework. The project includes core components such as an SSH server, a Python API tool hub, and a unified context system. It is built with a modern technology stack and inspired by Elvis's innovative spirit.

Grasp is an open-source and self-hostable humanized browser automation tool that supports the MCP and A2A protocols and can seamlessly integrate with various AI applications. Through Docker containerization deployment, it provides a browser operation experience controlled by natural language.

Cursor Sound MCP is a sound feedback tool implemented through the MCP protocol. It plays sound effects when Cursor AI finishes code generation to enhance the interactive experience.

MiniMe-MCP is an upgraded project for an AI development assistant. By creating a digital twin of the developer, it enables persistent memory and intelligent pattern recognition across projects. It solves the problem that traditional AI assistants lack memory and context understanding, provides personalized coding suggestions based on historical experience, supports multiple IDE tools, and can run locally to ensure data privacy.

A full-stack web application based on FastAPI that provides a dual AI assistant experience (chatbot and tool-based agent), supports user authentication, real-time chat, history records, and file analysis, and can be deployed on Heroku.

An AI - native Obsidian local REST API MCP server that provides a task - oriented advanced toolset, optimizes the LLM interaction experience, and enables intelligent note management and discovery.

The MCP Server for ServiceNow is a modular and extensible solution that integrates with ServiceNow via the Model Context Protocol (MCP). It provides a series of API tools covering various use cases such as ITSM, ITOM, SAM, HAM, enhanced CMDB, PPM, employee experience, reporting and analysis, dynamic tool registration, and workflow orchestration. This solution is suitable for integration with AI agents or other external systems to automate processes such as access provisioning, incident management, and asset lifecycle management.