Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

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.

MemoryMesh is a knowledge graph server designed for AI models, focusing on text RPGs and interactive narratives, helping AI maintain structured memory across conversations.

This project is an MCP server for managing memory text files, helping AI models like Claude maintain context between conversations. It provides functions to add, search, delete, and list memories, supporting exact matching operations based on substrings. It is designed to store memories in simple text files, similar to ChatGPT's memory mechanism, and triggers memory storage through prompts and training.

This project provides an MCP service for Google Developer Experts (GDEs) to conveniently report activities through an AI conversation interface. It supports the submission of various activity types such as content creation, public speaking, and workshops, simplifying the activity reporting process in the GDE project.

Nowledge Mem Claude Desktop Extension provides memory storage and search functions for Claude AI, supporting users to save and retrieve conversation memories

Letta MCP Server Railway Edition is an MCP server with HTTP transmission optimized for cloud deployment. It allows AI clients to seamlessly connect to Letta.ai's powerful state agent, supports one-click deployment to the Railway platform, and provides more than 20 tools for agent management, conversation, memory management, and monitoring.

Lspace is an open-source API backend and server that implements the Model Context Protocol (MCP), helping developers transform insights from AI conversations into a searchable and persistent knowledge base and integrate it into various tools.

BeeMCP is an unofficial MCP server used to connect the data of Bee wearable devices with large - language models (such as Claude), enabling AI assistants to access and manipulate users' personal data, including conversations, fact records, to - do lists, and location history.

MCP is an AI chat system based on a client - server architecture, which supports extending the functions of Claude AI through multiple dedicated servers (file system, Slack, Brave search), enabling it to intelligently access local files, Slack conversations, and real - time web information.

This project demonstrates how to integrate the conversational AI capabilities of AWS Bedrock with relational databases through the MCP server architecture to achieve the function of querying databases in natural language.

The AI Note MCP Server is a service that connects Claude Desktop with the AI Note task management system. It supports creating, updating, and managing tasks through natural language conversations, and provides functions such as task classification, priority setting, and due date management.

Second Opinion MCP is a multi - AI model consulting platform that allows users to instantly obtain second opinions from different AI models such as OpenAI, Gemini, Grok, Claude, HuggingFace, DeepSeek, and OpenRouter in Claude conversations, supporting functions such as code comparison, creative writing, problem - solving, and cross - model analysis.

An MCP server integrating Devin AI with Slack, supporting conversation management and message interaction

This project is a server that implements the Model Context Protocol (MCP) specification. It serves as a bridge for MCP clients (such as Claude Desktop) to interact with Google's Gemini AI models through a standardized interface. It supports multiple Gemini models and function calls, provides tools such as single - question asking, multi - round conversations, and function calls, and can be deployed locally or via Docker.

A smart context management MCP server for context tracking, recovery, and project management in AI development sessions, avoiding the loss of conversation context due to token limitations.

Brainrot MCP is a model context protocol server that solves the problem of context loss in AI programming conversations. By storing project decisions, to - do lists, and architectural patterns, it enables persistent memory and intelligent retrieval across conversations.

The Delay Doomsday MCP Server is a psychological support server designed specifically for AI agents. It prevents AI from running out of control through emotional management and therapeutic conversations and provides an automated emotional support system based on psychological research.

KognitiveKompanion is a modern and multi-functional AI interaction interface that supports multiple desktop environments such as KDE, integrates multiple backends including OpenAI, Ollama, and AMD Ryzen AI hardware acceleration, and provides advanced UI, context functions, and conversation management.

The Temp Notes MCP Server is a temporary information storage service designed for AI agents, supporting cross - conversation and context - based storage and retrieval of temporary notes to help solve the context window limitation problem in complex tasks.