"Notion: Productivity and Note-Taking Platform" matching MCP servers:

AI-powered text formatting and summarization tools for development workflows. Zero-install Streamable HTTP transport — no binary, no npm required.

Enables agents to turn Bilibili course videos into structured VitePress study notes by extracting subtitles, generating organized notes with key points and active recall, and saving them locally. It also supports video search and metadata retrieval through MCP tools.

A simple MCP server for creating and managing notes with support for summarization functionality.

Enables exploring Steam store reviews and community discussion threads with server-side filtering, temporal analysis, and metadata context for understanding player sentiment and feedback beyond store page noise.

This TypeScript-based MCP server allows users to manage a simple notes system through creating and summarizing text notes using Model Context Protocol (MCP).

MCP server that automatically saves summaries of AI papers or stock articles to a Notion database.

A modular production-ready system that provides specialized agents for math, research, weather, and summarization tasks through a unified MCP toolbox with smart supervisor capabilities.

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.

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

Enables reflective thinking and memory storage with support for multiple AI providers (OpenAI, Anthropic, Gemini, Ollama) or local fallback. Stores contextual memories locally and provides tools for reflection, questioning, note-taking, and summarization across different conversation keys.

A TypeScript-based MCP server that implements a simple note-taking system using low-level server components and streamable HTTP. It enables users to create, store, and summarize text notes through a set of tools, resources, and specialized prompts.

A simple note-taking MCP server that allows storing and summarizing notes with custom URI schemes and provides functionality to add notes and generate summaries with different detail levels.

tooltrim reduces the tokens agents spend re-reading bloated tool results. Run it as an MCP server exposing compress and expand_tool_output, or as a gateway in front of any upstream MCP server: it re-exposes the upstream tools unchanged and shrinks each result (HTML/JSON/logs/tables) before it reaches the model, keeping the relevant content only.

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.

Provides MCP-compatible AI clients with offline text analysis and rewriting tools, including statistics, extractive summaries, keywords, readability scores, case conversion, entity extraction, and diffing, all running locally without API keys or network calls.

Unofficial MCP server for working with Kagi without API access (you'll need to be a customer, tho). Searches and summarizes. Uses Kagi session token for easy authentication.

MCP server for extracting links from text dumps, checking duplicates, extracting YouTube transcripts (with fallbacks including speech-to-text), and preparing workspace-ready page payloads for your note-taking or saving tools. It does not write to your workspace; it hands off prepared content to your existing tools.

Enables an LLM to keep a persistent scratchpad by adding and reading notes, retrieving the latest note as context, and generating summaries through MCP.

This MCP server enables AI assistants to perform calculations, fetch live weather, manage in-memory notes, access system info and note resources, and use reusable code review and summarization prompts.

Enables everyday utilities like calculation, text analysis, encoding, hashing, UUID generation, datetime lookup, and note management through MCP tools, resources, and prompts.