"Optimizing AI Model Thinking, Token Usage, and Context Size" matching MCP servers:

A remote MCP server that compresses long text contexts, stores compact reusable summaries, and retrieves relevant context by title/tag/query, helping reduce token usage.

A task-aware context compression layer for Agent workflows, RAG pipelines, and AI Coding assistants, reducing noisy logs, retrieval chunks, and code context into high-signal LLM inputs via CLI, Python SDK, and MCP.

Compresses, deduplicates, and filters tool outputs to optimize token usage and context window for AI agents.

Summarizes Slack activity and GitLab merge requests with OpenAI to help generate daily standups, weekly reports, or quarterly check-ins.

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.

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

Enables AI agents to transcribe, translate, and summarize audio via Zoom AI Services APIs, providing an 'ear' through tools like transcribe_audio, summarize_transcript, and translate_text.

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.

Routes commodity NLP tasks like summarization and translation to free-tier LLMs, saving Claude tokens for complex work.

An MCP server for the Fathom AI meeting intelligence API

A Model Context Protocol server that scrapes blog posts from V2.ai Insights, extracts content, and provides AI-powered summaries using OpenAI's GPT-4.

Text summarization and extraction MCP server by MEOK AI Labs, featuring EU AI Act compliance and easy installation.

A text processing workbench and MCP server that provides 22 tools for cleaning, transforming, and extracting data from text. It enables AI assistants to perform complex operations like regex extraction, log normalization, and encoding through a unified interface.

Meeting Summarizer AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

AI text and URL summarizer that extracts key points, reduces word count, and estimates reading time, with pay-per-call via x402 micropayments.

Local-first MCP server for safely searching, reading, summarizing, tagging, deduplicating, and organizing local files with scoped access, read-only defaults, and dry-run plans.

AI-powered Gmail assistant that enables email management such as reading, searching, sending, summarizing, and organizing emails via natural language.

Provides AI-powered legal tools including contract review, drafting, legal research, document summarization, and compliance checks via OpenRouter.

Keyword Extractor AI - MCP server providing AI-powered tools and automation by MEOK AI Labs