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.

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.

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 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.

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.

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.

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.

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.

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.

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

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 simple MCP server for interacting with OpenAI assistants, supporting the creation and management of assistants, initiating conversations, and message processing.

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.

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.

The Linode MCP Server is a protocol server that connects an AI assistant to the Linode cloud infrastructure, supporting the management of cloud resources, including multiple services such as instances, databases, and networks, through natural language conversations.

MCP Apple Notes is a service based on the Model Context Protocol that can perform semantic search and Retrieval Augmented Generation (RAG) on Apple Notes, enabling AI assistants like Claude to reference users' notes in conversations.

The Terraform Cloud MCP Server is an AI assistant integrated service for managing infrastructure through natural language conversations, supporting multiple MCP-compatible platforms.

An AI-based food nutritional analysis assistant that identifies foods through images, calculates calorie and protein content, and supports nutritional knowledge Q&A and conversation memory functions.

This project is a collection of various Model Context Protocol (MCP) servers used to extend the capabilities of AI assistants, supporting the direct use of external tools and services in Claude conversations.

This extension integrates the Basic Memory knowledge base system into the Zed Editor's assistant function, enabling the construction of a persistent knowledge base through natural conversations and storing it as Markdown files on a local MCP server.

VibeCraft is an AI - driven Minecraft building assistant that connects AI with WorldEdit through natural language conversations, providing 46 MCP tools, spatial awareness, furniture libraries, and building templates for intelligent world editing and building.

The official TestingBot MCP server enables AI assistants to manage the TestingBot testing infrastructure through a conversational interface, including functions such as real-time testing, browser and device management, test management, storage management, screenshot testing, build management, user team management, CDP sessions, and tunnel management.