"Methods for Saving, Reading, and Querying Data" matching MCP servers:

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

Enables local EPUB reading with AI agents, supporting annotations, parallel editions, and MCP tools.

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.

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.

Enables exporting Apple Safari Reading List entries to JSON and adding new items via MCP on macOS.

Enables AI assistants to list, search, add, update, remove, restore, and export the user's Chrome reading-list items through local extension-backed tools, with backups for deletions.

A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.

Enables autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables read-only MCP access to an unpacked game data directory, supporting directory listing, paginated text/XML reading, content search, translation lookup, and retrieval of spell/entity definitions without executing Lua or computing derived values.

Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.

Enables Claude AI to control Ableton Live and Max for Live, allowing music production tasks like track management, MIDI editing, and pattern generation directly from conversation.

Enables local analysis of scientific papers including PDF parsing, mathematical formula extraction with AST generation, PyTorch code generation from methodology, and automated Markdown report generation with visualizations.

MCP server for querying work checkpoints and storing finalized timesheet reports in SQLite.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Local MCP server that registers restricted Python filters and runs them against local JSON, YAML, and TXT files, enabling safe data filtering and file conversion.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

Enables Claude Desktop to answer natural-language questions about customers by exposing search, profile, order history, status filter, and spend statistics tools backed by local mock data, with a single-file swap path to Oracle AI Agent Studio later.

MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.