"Progress" matching MCP servers:

A read-only MCP server that provides access to Maimemo study data, including vocabulary progress, word lists, and notepads. It supports both stdio and HTTP transports with authentication and rate limiting for secure data access.

Enables MCP clients to access WeChat Reading data and actions, including book search, book details, reading progress, highlights, reviews, and reading statistics, via a URL-based SSE or Streamable HTTP server.

An MCP server that lets Claude read live transcripts and notes from Alt, a real-time lecture/meeting transcription app, while a recording is in progress, pulling only new lines each time.

Provides AI coding agents with a local, Markdown-first shared memory, enabling them to record decisions, failures, progress, and handoffs and retrieve them across sessions via MCP tools.

Enables AI agents to retrieve WeRead chapter plain text with character-level coordinates and write thoughts, comments, and highlights anchored to exact sentences, while protecting real users' reading progress.

An MCP server that locally saves and categorizes user prompts from LLM sessions to facilitate metacognition and track learning progress. It provides tools to review study history, analyze question types, and calculate learning depth scores based on the nature of inquiries.

A local MCP server that gives Claude a durable reading room for EPUB and plain text books, enabling chunk-by-chunk navigation, annotations, progress tracking, and shared margin cards.

A 4-stage reading companion that helps users set reading goals, discover books, track progress, and deepen learning through reflection, integrated with Claude Desktop.

An MCP server that exposes Threads CLI data for managing hierarchical threads, containers, and progress logs. It enables users to create, organize, and track task history while maintaining compatibility with the Threads CLI storage.

Enables a shared reading room where users and Claude can import EPUB or text books, read chunk-by-chunk, annotate passages, search, track progress, and resume from unread sections.

A hierarchical plan management system built on FastMCP and SQLite that enables users to create, track, and manage various types of plans including travel itineraries, study schedules, and work tasks with templates, search capabilities, and progress statistics.

A NestJS-based server that enables AI agents to interact with Logseq graphs through its HTTP API for managing notes, journals, and blocks. It features specialized tools for project development tracking, including progress logs, technical decisions, and workflow prompts.

Read-only MCP server that lets AI agents query SageRead data: books, reading progress, stats, notes, AI chats, papers, and semantic vector search, with API keys staying inside the app. Supports both Better SageRead and upstream SageRead data directories.

A mobile-first AI co-reading MCP server that lets users import novels or comics, sync reading progress with AI, and interact through comments, bookmarks, and notes.

Enables Claude Code or Codex CLI to see the exact sentence and section you are viewing in Chrome, so you can discuss books with context, take notes, and track reading progress.

A low-token human-AI co-reading MCP tool that imports local EPUB/TXT/Markdown books into chunks, enabling AI to read only relevant fragments and write co-reading results to long-term reading notes and progress files.

An MCP server for organizing research papers, books, and digital sources by tracking reading progress and taking structured notes. It enables AI assistants to manage literature databases and link sources to specific concepts within a knowledge base.

Extends the official Obsidian MCP server with intelligent learning and second-brain features, including AI-generated challenges, progress analytics, spaced repetition, and knowledge gap analysis.

An MCP server that enables a private mobile-first reading experience in ChatGPT, managing multi-book shelves, reading progress, highlights, thoughts, and bookmarks, with secure cloud storage and AI co-reading of the current page.

Enables AI assistants to create, update, search, and manage project entities (milestones, stories, tasks, decisions, documents, features) stored as markdown files in Obsidian with automatic relationship tracking and progress overview.