"A server for finding context 7" matching MCP servers:

A simple notes MCP server that enables creating, listing, and summarizing text notes via resources, tools, and prompts.

Fetches category data from a Q&A service API and returns a markdown summary grouped by category.

A 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.

A 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.

MCP 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.

Enables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.

A Model Context Protocol server that enables AI assistants to translate and rephrase text between numerous languages using the DeepL API.

This server provides a tool to generate unified diffs between two text strings, facilitating text comparison and analysis.

A TypeScript-based MCP server for handling a simple notes system with NextJS that supports creating and summarizing text notes using MCP concepts.

A simple note storage and management system that allows users to add, access, and summarize notes through a custom URI scheme. Supports creating summaries with configurable detail levels and provides real-time resource change notifications.

PulseMCP Server is a TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and summarize text notes through Model Context Protocol with URI-based resource management and LLM summarization prompts.

The 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: con

A TypeScript-based MCP server for SearXNG that allows users to create and summarize text notes using simple URIs and metadata, facilitating natural language interaction with stored content.

A Model Context Protocol server that enables retrieval of transcripts from YouTube videos with language-specific support.

A Model Context Protocol server that enables AI agents to join and interact with online meetings (Zoom and Google Meet), capturing transcripts and recordings to generate meeting summaries.

A server for connecting to a local ComfyUI instance that enables storing and summarizing notes with custom URI scheme support.

An MCP server that provides a tool to extract text content from local PDF files, supporting both standard PDF reading and OCR capabilities with optional page selection.

A TypeScript-based MCP server implementing a simple notes system that allows users to create, access, and generate summaries of text notes.

A Model Context Protocol server that implements a simple notes system, allowing users to create, list, and summarize text notes.

A simple note-taking MCP server that allows adding notes and summarizing them via a prompt.