"Managing Kubernetes Clusters on AWS Elastic Beanstalk" matching MCP servers:

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

A simple note storage system that lets users create and summarize notes with varying detail levels using Claude.

Lets coding agents such as Claude Code and Codex hand summarising, field extraction, classification and OCR to the free, offline on-device model for Apple Foundation Models on macOS 27. One Rust binary, installed with Homebrew.

MCP server for koreafilings.com — AI-summarized Korean DART (전자공시) corporate disclosures, paid per call in USDC via the x402 protocol on Base. Tools: get_pricing (free), get_disclosure_summary (0.005 USDC).

Lets any AI agent score and simplify its own text before it reaches a human, using Flesch readability metrics and plain-language rewrites entirely on the local machine.

Enables LLMs to interact with Fathom.video API for managing meeting recordings, retrieving transcripts and AI-generated summaries, searching meeting content, and accessing analytics and team data.

Enables transcription, summarization, and action item extraction from audio files on your Mac using MacWhisper and Claude Desktop, all locally without any cloud APIs.

Enables local LLM chat sessions to continue indefinitely by automatically compacting context and storing permanent memory on disk, with recall across all past sessions.

Routes narrow text-processing tools (classification, extraction, summarization, etc.) to budget models to reduce token consumption on the main model.

Enables managing documents on the filesystem through natural language, with tools for read, create, edit, delete, and commands for summarize, format, rewrite, and convert.

Production HTTP 402 micropayment web scraper, Llama-3 digest, and Twitter intelligence engine for AI agents on Base L2. Zero API keys, zero subscriptions.

Enables complex queries over data on the DANDI Archive and provides a system for managing text notes. It features tools for note creation, resources for note access via custom URIs, and prompts for generating summaries.

An MCP server for managing and persisting notes, offering CRUD operations, note summarization, and resource-based access via a note:// URI scheme.

A TypeScript-based MCP server built on the Gmail API that implements a simple notes system. It enables users to create, manage, and summarize text-based notes through specialized resources and tools.

MCP server that connects AI assistants to ReviewWebsite.com API for creating and managing website reviews, extracting data, converting URLs to markdown, and interacting with web content.

A server for managing and summarizing notes using a custom URI scheme, with tools to add notes and create styled summaries.

Enables users to connect to their email inbox via IMAP to search, filter, and summarize emails based on criteria like subject, date, and sender. Supports marking emails as read and provides customizable email summarization with various prompt options.

Enables writing and managing notes to flomo via MCP. Provides tools for creating notes, resources for accessing them, and prompts for summarization.

Enables every coding agent session, on every machine you use, to share one permanent word-for-word memory that is folded into a binary tree of one-line summaries, so a fresh session can read the whole history in a fixed-size view and zoom into any line down to the original message. Summaries are produced by your own agents through the server's compaction tools, with no model or API key required, and machines synchronize through a shared folder without any central owner.

Enables writing and managing notes in flomo through MCP tools, resources, and prompts.

Enables creating and managing text notes with a simple note-taking system. Provides tools to create notes, access them via URIs, and generate summaries of all stored notes.

Enables creating and managing text notes through MCP resources and tools. Provides note creation capabilities and automatic summarization of all stored notes.

Fetches recent AI news from curated RSS feeds, summarizes them with OpenAI, and caches results in AWS DynamoDB for efficient access.

This MCP server compacts prompts to save on token usage.

MCP server providing 11 pay-per-call web intelligence tools (page reading, PDF extraction, RSS parsing, screenshots, summarization, structured data extraction) for AI agents, paid automatically in USDC via the x402 protocol on Base mainnet with no API keys required.

A local-first, open-source MCP server that analyzes jobs, matches your CV, tailors documents, and tracks applications — all on your machine with no data uploaded.

Enables local structured extraction, classification, and summarization of text with automatic context management and caching, keeping data on your machine.

Enables automated video learning workflows by ingesting video URLs, managing remote GPU ASR transcription, pulling transcripts, generating digest summaries, and searching local notes via MCP tools.

Provides MCP tools to fetch, filter, curate, and summarize high-quality content from X (Twitter), reducing noise and focusing on high-signal posts, threads, and accounts.

Enables AI agents to query and recall your entire Gmail inbox locally, providing fast summarization and semantic search without relying on Gmail's search API.