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"Exploring MCP Server Model Context Protocols for Research Paper Creation" matching MCP servers:
- Flicense-qualityDmaintenanceA simple notes MCP server that enables creating, listing, and summarizing text notes via resources, tools, and prompts.Last updated
- Flicense-qualityDmaintenanceProvides real-time web research and URL summarization capabilities using Gemini 2.5 Flash with native Google Search grounding. It enables users to perform factual searches and summarize web content directly within MCP-compatible clients like Claude Desktop.Last updated17
- Flicense-qualityCmaintenanceAggregates and summarizes security research from IEEE, NIST, CISA, and blogs with a live-streaming web UI.Last updated
- Flicense-qualityCmaintenanceAn MCP server that adds real-time web research to Claude Desktop using Gemini 2.5 Flash with native Google Search grounding.Last updated
- AlicenseAqualityAmaintenanceA small MCP server that gives agents rich context about a YouTube video — its transcript, jump-to-the-moment deep links, metadata, and most-replayed moments — so they can answer questions, summarize, pull quotes, or surface highlights.Last updated71MIT
- AlicenseBqualityDmaintenanceThe URL-Context-MCP MCP Server provides a tool to analyze and summarize the content of URLs using Google Gemini's URL Context capability via the Gemini API. Now also supports optional grounding with Google Search alongside URL Context. The server is designed to follow prompt-only orchestration: conLast updated247MIT
- FlicenseCqualityCmaintenanceAn MCP server that provides tools, resources, and prompts for reading, writing, and summarizing research notes stored in a local flat-file database.Last updated2
- Alicense-qualityDmaintenanceMCP Long Context Reader is a Python-based toolkit designed to overcome the context window limitations and high costs associated with Large Language Models (LLMs) processing extensive documents. It provides a FastMCP server with multiple, powerful strategies for an LLM agent to 'read' and query long documents without needing to load the entire text into its context window.Last updated5MIT
- Alicense-qualityCmaintenanceCompresses, deduplicates, and filters tool outputs to optimize token usage and context window for AI agents.Last updatedMIT
- Flicense-qualityDmaintenanceAn offline MCP server that enables research tasks such as summarizing text, extracting key points, and saving/retrieving notes via a CLI client and stdio transport.Last updated1
- Alicense-qualityCmaintenanceEnables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.Last updated1736Apache 2.0
- Alicense-qualityCmaintenanceEnables LLMs to search, analyze, and summarize academic research papers in real-time from arXiv, Semantic Scholar, and PubMed. Provides automatic deduplication, citation analysis, and BibTeX generation across multiple research databases.Last updated186MIT
- Alicense-qualityAmaintenanceEnables AI assistants to save, load, and search conversation context with AI-powered summarization and auto-tagging. Demonstrates semantic intent patterns and hexagonal architecture for maintainable AI-assisted development.Last updated194MIT
- Alicense-qualityBmaintenanceAn MCP-native document research agent that provides search, summarization, and citation tools for iterative multi-step research, ending in validated structured JSON reports.Last updatedMIT
- Alicense-qualityDmaintenanceEnables fetching, searching, and summarizing YouTube video transcripts with multi-language support.Last updatedMIT
- Flicense-qualityBmaintenanceA local-first Codex plugin that bundles an MCP server to safely interact with Mattermost, enabling channel/thread summarization, conversation search, and reviewed post publishing via the Mattermost REST API.Last updated
- Flicense-qualityDmaintenanceA TypeScript-based MCP server that enables users to manage text notes with features like note creation and summary generation using a Model Context Protocol.Last updated1
- AlicenseAqualityDmaintenanceA FastMCP server that enables AI assistants to extract structured information from unstructured text using Google's langextract library through a secure, optimized Model Context Protocol interface.Last updated430MIT
- AlicenseAqualityFmaintenanceIntegrates Vale prose linting into AI coding assistants, enabling users to check text files for style and grammar issues using Vale's powerful linting engine. Provides automated style feedback with smart configuration discovery and rich formatted results.Last updated318MIT
