iMCP is a macOS application that connects users' digital lives through AI. It supports interaction with clients such as Claude Desktop via the Model Context Protocol (MCP), providing various functions including calendar, contacts, location, maps, messages, reminders, and weather.

Solana-MCP is a full-chain operation platform based on the Solana blockchain. It simplifies users' interaction with the Solana ecosystem through natural language commands, supports functions such as DApp integration, digital asset management, and DeFi operations, and uses LLM technology and smart contracts to achieve efficient and secure on - chain operations.

ToolJet MCP is a bridge connecting AI assistants to the ToolJet platform, enabling programmatic interaction through the Model Context Protocol and supporting functions such as user management, workspace operations, and application management.

The Vantage MCP Server is an open-source tool that helps users query and analyze cloud cost data through natural language interaction. It serves as a bridge between the Vantage API and AI assistants, providing intuitive cost analysis capabilities and supporting integration with multiple MCP clients.

The Kaltura MCP server is a service that implements the Model Context Protocol (MCP), providing AI models with standardized interaction capabilities with the Kaltura media management system, including media upload, metadata management, classification, and user management.

An advanced PocketBase MCP server that provides comprehensive functions such as database interaction, collection management, and user authentication

An AI agent project based on the MCP protocol, providing user management and message resource access functions, supporting interaction through REST API or MCP client.

MCP Connect 4 is a Tic - Tac - Toe game project that realizes human - machine interaction through MCP technology, allowing users to play against AI assistants and automatically record the game state.

OmniMCP is a tool that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It focuses on achieving in - depth understanding of the user interface through visual analysis, structured planning, and precise interaction execution.

This project provides a natural language interaction interface for MLflow through the Model Context Protocol (MCP), allowing users to query and manage machine learning experiments and models in English. It includes server - side and client - side components.

myAI Memory Sync is a cross - platform memory sync tool designed for Claude. It realizes unified management of user preference settings and personal information through the local - first MCP protocol, and supports natural language interaction and high - speed cache queries.

An MCP server that enables user interaction via Telegram, providing functions for Q&A, notifications, file transfer, and project packaging.

S/MCP is a server based on the MCP protocol that provides interaction with the philosophical AI mentor Stern. Stern combines rationalist thinking with Stoic philosophy and helps users reach their potential through smart contracts and personalized guidance.

This project contains two core files, client.py and server.py, which implement an AI tool interaction system based on the MCP protocol. The client manages the interaction process between the user, the LLM, and the tools, and the server provides tool functions such as file operations and web page crawling and offers services through the MCP protocol.

The NiFi MCP project provides a chat interface based on natural language interaction, allowing users to interact with Apache NiFi instances through LLM models, supporting querying, documenting, and operating NiFi components.

Graphiti MCP Server is an enhanced knowledge graph framework specifically designed for AI agents to build and query time - aware knowledge graphs in dynamic environments. It exposes core functions through the MCP protocol, supports continuous integration of user interactions, enterprise data, and external information, and provides capabilities for incremental updates, efficient retrieval, and precise historical queries.

Chakra MCP Server is a tool that natively integrates with Anthropic's Model Context Protocol (MCP), allowing users to interact with databases and subscribed data shares through natural language. It supports natural language queries, data share interactions, and database management functions.

The SharePoint Online MCP server is a powerful tool that enables seamless interaction with SharePoint Online through the SharePoint REST API, supports various operations such as user management, site management, list operations, etc., and provides two authentication methods.

The Scalekit MCP server is a service that provides a comprehensive toolset for the identity and access management platform, supporting functions such as environment management, organizational user management, connection configuration, and MCP server registration. It enables standardized interaction between AI assistants and the Scalekit platform through OAuth security authentication.

The Cloudflare MCP service is a standardized protocol based on the Model Context Protocol (MCP) for managing context interactions between large language models (LLMs) and external systems. This project provides an installer and an MCP server, supporting the management of various resources in a Cloudflare account, such as Workers, KV storage, R2 storage, and D1 databases, through natural language instructions. Users can perform various operations in a Cloudflare account using natural language via MCP clients such as Claude Desktop, VSCode (Cline), and Windsurf.

Instagram Engagement MCP is a service that provides Instagram interaction analysis tools, including comment sentiment analysis, account comparison, user profile extraction, potential customer identification, and generating interaction reports.

An MCP server for persisting development memory across projects, automatically capturing and organizing development context, code changes, and user interactions. Currently, it is hindered by file system access and JSON response handling issues.

OmniMCP is a project that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It supports functions such as visual perception, LLM planning, and action execution, enabling in - depth understanding and precise interaction with the user interface.

The WhatsApp MCP Server is an enhanced messaging service platform that combines AI technology with the WhatsApp API, aiming to improve users' WhatsApp interaction experience.

A Python-based trading assistant that connects through the Zerodha MCP server to help users manage trading accounts, providing a natural language interaction interface and various trading functions.

UIFlowchartCreator is an MCP server tool for creating UI flowcharts, helping developers and designers visualize user interfaces and their interactions.

ScreenMonitorMCP is a revolutionary AI vision server project that provides real-time screen monitoring, visual analysis, and intelligent interaction capabilities for AI assistants such as Claude, enabling AI to 'see' and operate the user's screen.

A development memory server for persistent development memory management across projects, automatically capturing and organizing development context, code changes, and user interactions.

A Twitter integration service based on the MCP protocol that provides comprehensive Twitter feature interfaces for AI assistants, including advanced functions such as tweet retrieval, user interaction, and media handling.

interactive - mcp is an MCP server implemented based on Node.js/TypeScript, aiming to promote interactive communication between LLMs and users. It provides various tools such as user input requests, system notifications, and persistent chat sessions, suitable for AI assistant scenarios that require local user interaction.

The HDW MCP Server is a LinkedIn data access and management service based on the HorizonDataWave API, providing functions such as user search, profile acquisition, email lookup, post interaction, and account management, and supporting multi - platform configuration.

The Model Context Protocol (MCP) is a standardized protocol introduced by Anthropic for the interaction between large language models (LLMs) and external tools and functions, as well as for injecting context into LLMs. It enables models to request real-time information, perform operations in external systems, access professional knowledge bases, and interact with APIs and services. The MCP is similar to a USB hub, serving as a standard interface that reduces the risk of API changes because each MCP server is maintained by its own company, and users only need to integrate it. The MCP server provides three functions: tools, resources, and prompts.

The Nostr MCP Server is a service that provides Nostr network interaction capabilities for LLMs such as Claude, supporting functions such as obtaining user profiles, notes, long - form content, and tipping records.

The TrueNAS Core MCP Server project enables interaction between MCP clients such as Claude Desktop and the TrueNAS Core system via the TrueNAS API, providing functions such as user management, system information query, storage management, share, and snapshot operations.

The Hume MCP Server is an AI collaboration tool that allows users to use Octave text-to-speech technology through MCP client applications (such as Claude Desktop, Cursor, etc.) to achieve intelligent speech synthesis and interaction.

The Memory MCP Server is a server that provides long-term memory functions for large language models (LLMs). By implementing the Model Context Protocol (MCP), it enhances the context awareness ability of LLMs in continuous interactions. The project provides a user-friendly API, supports storing and retrieving context information, is scalable, and is suitable for various LLM architectures.

A tool that integrates Claude AI with the Spotify API through the MCP server, allowing users to interact with their Spotify accounts using natural language queries to achieve enhanced music discovery and interaction functions.

This project provides a single-player Jeopardy! game experience based on J-Archive for VSCode users, enabling Q&A interaction through GitHub Copilot.

The Salesforce MCP Connector is a natural - language - based interaction tool that allows users to manage Salesforce data and metadata via chat, supporting multiple functions such as querying, searching, and operating developer tools.

An MCP server project that implements Phabricator API interaction, providing functions such as task management, project information, and user details.