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.

The DevOps AI Toolkit is an AI-based platform engineering and DevOps automation tool that provides functions such as resource deployment recommendations, problem repair, project governance, and a shared prompt library for teams through intelligent Kubernetes operations and conversational workflows, enabling complex cloud-native operations to be achieved through natural language interaction.

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

The Illumio MCP server is a service that provides an interface for interacting with the Illumio Policy Compute Engine (PCE), supporting the management of workloads, labels, and traffic analysis through conversational AI.

ClaudeKeep is an experimental project that saves and shares conversation records with Claude AI via the MCP protocol.

An AI voice call system based on the MCP protocol that uses VoIP technology to enable AI assistants like Claude to automatically make calls and conduct intelligent conversations. It supports multiple SIP protocols and audio codecs.

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

SAGE - MCP is an intelligent AI assistant MCP server that offers multiple working mode selections, conversation continuity management, and intelligent file handling functions. It can automatically select the best AI model based on task complexity.

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.

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.

Jarvis MCP is a browser-based voice conversation tool that allows users to have natural voice conversations with AI assistants through a microphone. It supports voice recognition in more than 30 languages and remote access, and no additional software or API keys are required for installation.

This is an MCP server developed for the Cursor cloud agent API, which allows AI assistants to create and manage cloud agent tasks on GitHub repositories, providing functions such as task creation, status monitoring, and viewing conversation history.

Promptheus is an intelligent prompt optimization tool that helps users optimize LLM prompts and improve the effect of AI conversations through adaptive questioning and multi - model support.

An MCP service for automatically generating and managing work daily reports, supporting content collection and organization from AI tool conversations.

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.

Halo MCP Server is a Python - based MCP server that provides AI assistants with complete Halo blog management capabilities, supporting all blog management operations such as article creation, editing, and publishing through natural language conversations.

The OpenAI WebSearch MCP Server provides web search functionality for AI assistants through the Model Context Protocol, supporting the acquisition of the latest information during conversations.

Google Ads MCP is a tool that connects Google Ads with Claude AI. It analyzes advertising data through natural language conversations and provides functions such as account management, campaign analysis, keyword optimization, and budget management.

Voice Mode is a tool that provides natural voice conversation capabilities for AI assistants and supports human - machine voice interaction with LLMs such as Claude and ChatGPT through the MCP protocol.

An asynchronous conversation AI service based on the Google Gemini API, which processes requests through a Redis queue and provides an MCP protocol-compatible API interface.

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

SmartMemory is an MCP server that provides structured memory for LLMs. It converts conversation content into knowledge graphs through natural dialogue, enabling AI assistants to learn and apply business rules.

The Memvid MCP Server is an AI service interface based on video memory technology, supporting encoding content such as text and PDFs into video formats and providing semantic search and conversation functions.

A code analysis server based on the MCP protocol that helps AI models understand and analyze codebases through natural language conversations, providing lightweight code exploration and understanding capabilities.

Temporal-MCP is a server that connects AI assistants with Temporal workflows. Complex workflows can be triggered and managed through natural language conversations without writing additional code.

Umbraco MCP is a server based on the Model Context Protocol (MCP), which provides AI - driven background content management functions for Umbraco CMS. It implements secure and permission - controlled automated operations through the Umbraco management API, enabling the AI assistant to perform complex background tasks through natural conversations without manual operation of the interface.

A knowledge graph memory server implemented in Go, providing persistent memory management capabilities across conversations for AI assistants

The AI Studio MCP Server is a model context protocol server integrated with Google AI Studio/Gemini API, providing content generation functions that support files, conversation history, and system prompts.

The Linked API MCP Server is a tool that connects your LinkedIn account to AI assistants. It securely and automatically enables functions such as potential customer search, message sending, profile analysis, and market research through a cloud browser. It is suitable for scenarios such as sales automation, recruitment assistance, and conversation management.

A chat platform integrating LangChain, a custom MCP server, and Google Gemini AI model, providing enhanced conversation functions.

MCP session saving service that can save AI conversation records as Markdown files and intelligently classify and manage them by IDE name, date, and session description

MCP Memory is a persistent memory system based on Elasticsearch, providing long - term memory storage capabilities for AI conversations and solving the problem of context loss in traditional AI conversations.

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.

The MCP server project of Yelp Fusion AI provides natural - language - based local business search and interaction functions, supporting multi - turn conversations, business queries, and restaurant reservations.

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.

The Anytype MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with the Anytype API through natural language. It transforms the OpenAPI specification of Anytype into MCP tools, enabling knowledge base management through conversations.

Goal Story is an innovative tool that helps users focus on achieving goals through AI conversations and storytelling.

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.

This is a server based on the Model Context Protocol that provides tools for interacting with the Open Notebook API, supporting functions such as managing notebooks, content sources, notes, searches, and AI conversations.