Supermemory is an AI-driven memory engine designed to provide contextual knowledge for LLMs by integrating personal data, enabling intelligent management and retrieval of information.

The YouTube MCP Server is a standardized interface implementation that allows AI language models to interact with YouTube content through protocols, providing functions such as video information retrieval, subtitle management, channel and playlist management.

The MCP Gateway is an advanced AI infrastructure middleware solution that acts as a proxy gateway for model context protocol (MCP) servers, providing unified interfaces, sensitive information filtering, and lifecycle management functions.

The YouTube MCP Server is a service that implements the Model Context Protocol (MCP). It provides a standardized interface for AI language models to interact with YouTube content, supporting functions such as video information retrieval, subtitle management, channel and playlist operations, etc.

This project is a multi - tool integration and code execution platform based on FastMCP. It supports importing MCP tools from local and SSE clients, provides Docker deployment and streaming code execution management, and is suitable for various tool invocation scenarios such as chemical information query and web page parsing.

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.

ArtistLens is a powerful MCP server that provides access to the Spotify Web API, supporting functions such as music search, artist information retrieval, and playlist management.

A server that encapsulates the V2EX official API 2.0, providing interface functions such as notification management, user information, and node topics. It supports global installation via npm and configuration with a token for use.

A production - ready TypeScript MCP server that provides comprehensive security and dual - transmission support for Cisco support APIs, and can be extended to support multiple Cisco support APIs including Bug search, case management, and lifecycle information.

An MCP service for operating Android devices via ADB, supporting functions such as app management, screen control, input gestures, and device information retrieval, and can integrate visual models for screen content analysis.

Neo N3 Model Context Protocol (MCP) is a standardized interface protocol for the interaction between AI agents and applications and the Neo N3 blockchain. It provides an easy - to - use server implementation, supports direct running via npx, and does not require manual environment configuration. The protocol includes functions such as blockchain information query, wallet management, asset transfer, and smart contract interaction, and additionally provides an HTTP server to expose functions in the form of RESTful APIs.

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.

This is an MCP server project based on the note.com API, allowing access to note.com functions via Claude Desktop, including article search, user information retrieval, article publishing, comment management, etc. It supports both authenticated and non - authenticated modes, providing rich API tools and data analysis functions.

The PuchAI Hackathon project provides a variety of toolkits, including Reddit content analysis, data visualization chart generation, drug information query, user preference management, and task management functions, supporting developers to quickly validate market hypotheses and analyze user needs.

An MCP server designed for the official Dart/Flutter package repository pub.dev, providing functions such as package search, information retrieval, version management, and document access. It supports AI assistants to efficiently obtain package data.

The Financial Modeling Prep MCP Server is a financial data service that implements the Model Context Protocol (MCP), providing over 253 financial tools and covering 24 categories such as stock information, company fundamentals, and market analysis. It supports dynamic tool management, selective tool loading, and multiple configuration modes, providing comprehensive financial data access capabilities for AI assistants.

The mem0 MCP Server is a middleware for project management, providing structured project memory storage, semantic search, and project information management functions, and supporting interaction with the MCP host application through the standard input - output protocol.

The Kite MCP service is a service integrated with the Kite Connect API, providing various trading and account management functions, including the invocation of interfaces such as user information, order trading, and market data.

A VSCode extension based on the FastMCP framework that transforms VSCode into an MCP server, supporting remote execution of internal VSCode commands via HTTP Streaming, querying workspace information, and asynchronous task management

A VMware Fusion virtual machine management MCP server based on FastMCP, providing functions such as virtual machine listing, information query, and power operations, and supporting integration with LLM and agent frameworks.

The LI.FI MCP server is a multi - chain protocol tool for cross - chain exchanges, providing functions such as token information query, chain information acquisition, cross - chain operations, and wallet management.

The Context Engineering MCP Platform is an AI context management and optimization platform that designs, manages, and optimizes the input information of AI models through a systematic approach, realizing the engineering of prompt engineering. The platform provides functions such as intelligent analysis engines, optimization algorithms, and template management, significantly improving AI response quality, reducing API costs, and supporting multimodal content processing.

An AI based MCP server used to create information delivery specification files that fully comply with the buildingsMART IDS 1.0 standard, providing deterministic generation, verification, and management functions.

Cursor Buddy MCP is an AI assistant context management tool based on the Model Context Protocol, which helps AI assistants maintain consistent awareness of project standards, conventions, and history. By centrally managing coding rules, project documents, to - do lists, and database information, it enables AI assistants to provide more accurate and consistent responses.

MCP System Bridge is a bridging tool that implements the Model Context Protocol (MCP), providing access to native operating system functions, such as clipboard management, URL handling, and date information retrieval.

The MCP Kubernetes Server is a Python - based Kubernetes management server that provides functions for cluster information query, resource operation, status monitoring, and analysis, and supports accessing Kubernetes resources through the MCP protocol.

A persistent memory server based on knowledge graphs that supports remembering user information across sessions and accumulating experience through an error - learning system. It provides functions for entity - relationship management, observation record storage, and error - solution management, and can be integrated into the Cursor MCP client.

This is a Spotify MCP server based on Express.js that implements the interaction function between AI assistants and the Spotify API, including music search, artist information retrieval, and playlist management.

The Descope MCP server provides an interface to interact with the Descope Management APIs, supporting the search and retrieval of project-related information.

The Dixa MCP Server is a FastMCP - based tool that provides functions for interacting with the Dixa API, including conversation search, tag management, user information retrieval, and data analysis.

This project demonstrates how to implement a Model Context Protocol (MCP) server supporting Retrieval Augmented Generation (RAG), providing functions for knowledge base interaction, information retrieval, and document management.

A powerful scholarly research tool that integrates the search functions of multiple academic databases such as PubMed, Google Scholar, ArXiv, and JSTOR, providing functions such as paper search, full - text reading, key information extraction, citation management, and research organization.

An MCP server integrated with Dropbox, providing a toolset for file management, search, account information, etc., and implementing secure authentication and operations through the Dropbox API.

This is an MCP server implementation designed for Redmine. By integrating Redmine's REST API, it provides ticket and project information query functions for LLMs. It supports core operations such as ticket management, project management, and time recording, and includes permission control and testing tools.

This project is an encapsulation server for the V2EX API, implementing main functions including notification management, user information, and node topics. It can be installed and configured via npm for use.

A command - line tool project for accessing the JSON - RPC API, supporting functions such as system information query and note management.

An MCP server based on TypeScript, used to generate commit information from git staged files, supporting conventional commit formats, Gitflow workflows and branch management.

The Descope MCP server is an interface to interact with the Descope management API for searching and retrieving project-related information, including user management and audit log queries.

The Eight Sleep MCP is a model context protocol server for accessing Eight Sleep Pod data, providing functions such as user information, device control, temperature adjustment, sleep data, and alarm management.

A powerful Telegram integration server that provides functions such as contact management, message sending, and channel information retrieval, enabling multi - client communication through the MCP protocol.