The ArXiv MCP Server is a bridge connecting AI assistants with the arXiv research library, enabling paper search and content access through the MCP protocol.

A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.

An MCP server implemented for the RAG Web Browser Actor, supporting AI agents to perform web searches and content extraction.

The Notion MCP Server is a server implementation based on the Model Context Protocol (MCP) that allows AI assistants to interact with the Notion API through natural language, providing a complete set of tools and endpoints to read, create, and modify Notion content.

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 DeepWriter MCP Server is a server based on the Model Context Protocol standard, used to interact with the DeepWriter API, providing functions such as project management and content generation, and supporting integration with MCP - compatible AI assistants like Claude.

The Korx Share MCP Server is a multi-functional MCP protocol server that, by integrating with the korx.org API, creates secure and shareable URLs for AI-generated visual content (such as charts, dashboards, and HTML pages), while maintaining content interactivity and performing risk filtering.

The Notion MCP Server is a bridge connecting AI assistants and Notion workspaces. Through the standardized Model Context Protocol, it enables AI to programmatically access and manipulate Notion databases, pages, and content blocks.

Civitai MCP Server is a model context protocol service that provides comprehensive access to AI models on the Civitai platform, including functions such as searching for, browsing models, viewing creator information, and browsing generated content.

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.

A Reddit interaction server specifically designed for AI agents, supporting content reading, creation, and sub - forum management, following the MCP protocol and integrating advanced functions such as rule compliance and intelligent replies.

An MCP server based on Sourcegraph, providing AI-enhanced code search capabilities, supporting advanced queries and content retrieval across code repositories.

An MCP server tool that helps AI assistants bypass website anti-scraping mechanisms to obtain text content

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.

The Feishu MCP Server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing, thereby improving development efficiency.

An MCP server based on the YouTube Data API v3 that provides 14 functions to obtain real-time data on YouTube videos, channels, playlists, etc., supporting advanced functions such as content evaluation and caption extraction, suitable for AI assistant integration.

The PDF Reader MCP service provides AI agents with a secure and flexible function to extract content from PDF files, including text, metadata, and page count information. It supports local and remote PDF files and is easy to integrate into the MCP environment.

The Pulse CN MCP Server is an MCP protocol server that obtains real-time Chinese Internet popular content. It supports hot search data from 18 platforms such as Weibo and Today's Headlines, providing the latest Chinese trend information for AI models.

Crawl4AI MCP Server is an intelligent information acquisition server based on the MCP protocol, which provides multi - engine search and optimized web content extraction functions for AI systems, and converts web pages into a format suitable for LLM processing.

This project implements a Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with Substack newsletters, articles, and authors through a standardized interface. It is based on the Substack API library and provides functions such as getting article content, searching for newsletters, and querying author information.

Mobi MCP Server is a service based on the Model Context Protocol, used to enable the interaction between AI models and the Mobi knowledge management platform, providing functions such as search, data retrieval, content creation, and version control.

The project involves documentation, sample code repositories, and community resources for the LangChain framework, including technical content such as Python programming, AI agent development, FastAPI integration, and LLM fine-tuning.

AIM Guard MCP is an AI security protection server that provides security analysis, content detection, and protection instruction tools for AI agents to protect the security of MCP interactions.

This project implements an MCP server integrated with the TMDB API, providing movie data interaction functions for AI assistants, including searching, getting details, and generating related content.

The Oxenstierna project aims to provide functions for searching, obtaining, and analyzing archive content by integrating multiple APIs (such as OAIPMH, IIIF, and Search API) of the Swedish National Archives, including the HTR (Handwritten Text Recognition) process and image processing.

AI Humanize MCP Server is a powerful model context protocol server that focuses on optimizing AI-generated content into more natural and humanized text.

The MCP server for Atlassian Confluence serves as a bridge for AI assistants to access and interact with Confluence content in real - time.

PodCrawlerMCP is an MCP service that discovers podcast content through web crawlers, helping AI assistants find podcast shows and episodes based on topics.

The Feishu MCP server provides Feishu document access capabilities for AI coding tools, supporting document creation, content operation, and editing functions.

An MCP service that connects to the Giphy API, providing GIF search, random retrieval, and trending content functions for AI models.

YouTube video analysis MCP service, providing transcription extraction, content summarization, and AI query functions

Reddit MCP Buddy is a Reddit browsing tool designed for AI assistants. It allows you to quickly browse Reddit posts, search for content, and analyze user activities without an API key, and supports multiple authentication methods to increase the request limit.

This project is a Reddit service interface based on the Model Context Protocol (MCP), implemented through the Python Reddit API Wrapper (PRAW), which allows AI assistants to access and interact with Reddit content. The project provides functions such as user information analysis, getting popular posts, community statistics, and viewing trending sub - forums, and supports authenticated users to post and comment.

An AI interactive game developed based on the MCP protocol, allowing players to guess fictional content through generating true and false statements

A Cloudflare Workers-based MCP server that uses the WebforAI library to extract plain text content from web pages and provides web page data for AI models.

Scraper.is MCP is a web scraping tool designed for AI assistants. It is integrated through the Model Context Protocol, supporting content extraction, screenshot capture from any website, and returning data in multiple formats.

AIM Guard MCP is an AI security protection server that provides security analysis, content review, and protection instructions for AI agents to ensure the security of AI when interacting with various MCP services.

An MCP server integrated with the HackerNews API, providing functions such as searching for posts, getting details, user analysis, trend tracking, and comment analysis to help AI assistants efficiently access and understand HackerNews content.

This project implements a read-only MCP server for the Notion API, focusing on providing efficient content query and retrieval functions for AI assistants. Through optimization measures such as streamlining the toolset, parallel processing, and automatic content exploration, it significantly improves performance and solves the problem of the limited number of AI assistant tools.

The YouTube MCP Server is a tool for obtaining and extracting subtitles from YouTube videos, enabling AI language models to access and process video content.