"Reading Local Project Files to Assist Development" matching MCP servers:

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

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.

An AI reading companion that curates next books based on the Chicago Plan curriculum and tracks user reading progress with personal tokens. It offers book recommendations, logging, coaching questions, and reading reports.

A local MCP server for low-token co-reading: import a book, split it into chapter-sized chunks, read it chunk by chunk, and keep notes so a session can resume without re-reading the whole book.

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.

Enables shared reading between humans and AI assistants, including book import, chunked reading, margin annotations, reading progress tracking, and note exchange.

A comprehensive tutorial project that teaches Model Context Protocol (MCP) development from beginner to advanced levels, covering both server-side and client-side development.

Enables reading books from Project Gutenberg via MCP, with tools to search books, fetch metadata and full text, and retrieve passages by fixed-size keys.

A read-only MCP server that lets Claude Desktop search your private uOttawa Elentra data via an authenticated Chrome session, with polling-based staleness awareness.

A comprehensive learning platform for Model Context Protocol development that teaches MCP concepts through hands-on modules including text processing, file operations, and database integration. Designed as an educational tool with progressive difficulty levels from basic to advanced MCP server development.

Enables MCP-capable agents to inspect a local Synthesizer installation, query local grids and APIs, find examples, plot grid spectra, and validate scripts, so answers are grounded in the user's actual environment.

Enables authenticated access to Yonsei LearnUs course activities, assignments, schedules, announcements, notifications, video learning status, and course materials through local stdio tools.

This MCP server integrates GitHub issues, academic deadlines (LMS), and a personal task tracker to help AI assistants answer questions like 'What should I work on today?' with a prioritized overview.

Read-only MCP server that provides Claude Desktop with access to converted Canvas course exports, including Markdown files, reports, and search tools for local course content.

Enables AI assistants to query and manage student placement information, including attendance, CGPA, backlogs, eligibility, and placement drives, through natural language.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

A starter MCP server with a working 'greet' tool and stub examples for notes/FAQ search, built for the NextFlows Academy cohort program to extend with custom tools.

A learning MCP server with tools, resources, prompts, and sampling for AI clients like Cursor, using local JSON storage.

Provides an MCP tool to search the FreeCodeCamp news RSS feed by keyword, returning article titles, links, published dates, and summaries.

A basic educational MCP server that provides simple tools for mathematical calculations, text manipulation, and time retrieval. Designed for learning MCP implementation patterns and development purposes.