This MCP server provides tools to search for academic papers on arXiv and access detailed information about them. It demonstrates core MCP concepts by offering resources representing academic papers with URIs and metadata, customizable search parameters, and support for sorting and pagination of search results. It integrates with tools like Claude Desktop and VSCode for enhanced functionality.

ResearchMCP is a service that provides internet research capabilities through the MCP protocol, integrating with Perplexity AI's API to deliver in-depth, up-to-date information on a wide range of topics. It features graceful error handling, structured logging, and configurable environment variables for seamless integration and operation.

The AWS Service Authorization Reference MCP Server enables Large Language Models (LLMs) to retrieve detailed AWS IAM actions, resources, and condition keys. It provides programmatic access to AWS Service Reference Information, consolidating data that was previously scattered across multiple service documentations. The server includes tools for retrieving service codes, actions, resources, and condition keys, making it easier to manage and query AWS authorization data.

The Anki-MCP-Server facilitates interaction between large language models (LLMs) and the Anki flashcard software using the Model Context Protocol (MCP). It allows LLMs to create new decks, add notes, search for existing notes, and manage Anki flashcards programmatically. This server is particularly useful for integrating AI tools like Claude with Anki for automated flashcard generation and management.

The Webpage Summary Agent is designed to summarize web content efficiently by leveraging mcp-agent and Qwen. It provides a streamlined way to extract and condense information from webpages, making it easier to digest large amounts of text. This tool is particularly useful for researchers, content creators, and anyone needing quick summaries of online resources.

The AI Task Manager for Claude Workflows is an MCP server designed to help AI assistants handle multi-step tasks in a structured manner. It features task planning, progress tracking, user approval checkpoints, and detailed task visualization. This tool is particularly useful for managing workflows involving Claude, ensuring tasks are completed and approved systematically.

The Fetcher MCP server is designed to efficiently retrieve web page content by leveraging the Playwright headless browser. It integrates AI-powered capabilities to navigate and extract information from web pages seamlessly. This server is fast, efficient, and easy to configure, making it ideal for developers needing automated web content retrieval.

The RSS Crawler MCP Server is designed to fetch, cache, and manage RSS feeds using the Message Chain Protocol (MCP). It provides seamless integration with large language models (LLMs) by offering API endpoints for feed management, filtering by category or keywords, and fetching articles via Firecrawl. The server supports SQLite for caching and is configured using environment variables or a `.env` file.

The Japanese Text Analyzer MCP Server is designed to analyze Japanese text using morphological analysis, providing detailed linguistic insights such as word count, character count, and sentence complexity. It supports both file path and direct text input, offering flexible file path resolution and integration with tools like Claude for Desktop and Cursor. This server is particularly useful for generating feedback on text generation and improving readability.

This project provides a modernized implementation of the Model Context Protocol (MCP) to integrate Mistral and Gemini AI models into a unified framework. It offers a standardized interface for processing requests, managing context, and integrating external tools. Key features include smart routing, failover support, and cost optimization, making it ideal for developers and businesses seeking to leverage multiple AI systems efficiently.

The n8n-nodes-mcp repository provides a community node for n8n that facilitates interaction with MCP servers. It allows users to connect to MCP servers, access resources, execute tools, and use prompts within their workflows. This integration is particularly useful for automating workflows that involve AI models interacting with external tools and data sources in a standardized way.

This MCP server facilitates seamless interaction with GitHub repositories by offering a structured API for managing files, branches, and commits. It simplifies repository operations, enabling users to create, update, and retrieve repository data programmatically. Ideal for developers looking to automate GitHub workflows or integrate GitHub functionality into their applications.

This MCP server provides a high-performance PDF to Markdown conversion service, leveraging the MinerU API for intelligent processing and batch handling of local files and URL links. It ensures structure preservation, formula conversion, and table extraction, making it ideal for integrating with LLM clients like Claude Desktop. The service also supports cleanup optimization and high-quality extraction of text and images from PDF documents.

This MCP server provides integration with Yahoo Finance, enabling users to retrieve and process financial data efficiently. It is built using Python and Docker, ensuring ease of deployment and scalability. The server facilitates seamless access to financial datasets, making it a valuable tool for data-driven applications.