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"An example MCP for client prototyping in a business context with a public API call" matching MCP servers:
- AlicenseNot gradedqualityAmaintenanceA 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.363MIT
- 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.72MIT
- AlicenseAqualityDmaintenanceMCP 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.55MIT
- 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: con2167MIT
- FlicenseBqualityDmaintenanceA TypeScript-based MCP server that implements a simple notes system, providing resources for accessing notes via URIs, tools for creating notes, and prompts for generating summaries.712
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to search, watch, summarize, clip, and extract transcripts from YouTube videos, all without needing an API key or leaving the chat.1345Apache 2.0
- AlicenseNot gradedqualityCmaintenanceCompresses, deduplicates, and filters tool outputs to optimize token usage and context window for AI agents.MIT
- AlicenseNot gradedqualityCmaintenanceAn HTTP MCP server that indexes large documents into exact-line-numbered sections, enabling AI models to locate, read, summarize, and edit parts of a document without ingesting the whole file.MIT
- FlicenseNot gradedqualityDmaintenanceA simple notes MCP server that enables creating, listing, and summarizing text notes via resources, tools, and prompts.
- FlicenseNot gradedqualityDmaintenanceEnables Claude to read and analyze PDF documents with automatic OCR processing for scanned files. Features intelligent text extraction, caching for performance, and secure file access with search capabilities.1
- AlicenseNot gradedqualityDmaintenanceAlgorithmic text and NLP analysis server providing sentiment, readability, keyword extraction, language detection, stats, and more via REST and MCP.3MIT
- FlicenseNot gradedqualityBmaintenanceA 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.
- AlicenseAqualityBmaintenanceMCP 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).5MIT
- AlicenseAqualityDmaintenanceEnables sentiment analysis of text blocks using the Api Ninjas API, returning sentiment scores and overall sentiment classification for up to 2000 characters of text.1MIT
- FlicenseCqualityDmaintenanceProvides tools to summarize README files from local paths or public Git repositories into structured JSON summaries. It enables users to quickly extract key facts and project overviews from documentation through automated tool calls.2
- FlicenseCqualityDmaintenanceA TypeScript-based MCP server implementing a simple notes system that allows users to create, access, and generate summaries of text notes.112
- AlicenseCqualityDmaintenanceA Model Context Protocol server that implements a simple notes system, allowing users to create, list, and summarize text notes.36ISC
- AlicenseNot gradedqualityAmaintenanceEnables 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.184MIT
- FlicenseNot gradedqualityDmaintenanceSummarizes Slack activity and GitLab merge requests with OpenAI to help generate daily standups, weekly reports, or quarterly check-ins.
