"Aggregated RSS Feed Curation and Quality Control Tools" matching MCP servers:

Deterministic, LLM-first control of Word documents (.docx). An agent reads the outline, finds text by phrase, and applies edits as tracked changes and comments in one atomic batch, with a safety layer that refuses edits based on a stale read and rolls back failed batches. It works on .docx files directly, and can also drive an open document in Microsoft Word on Windows or in LibreOffice Writer.

Enables users to upload a resume to build a profile, discover jobs from company websites and official ATS boards, receive scheduled recommendations, and swipe to manage interest and application status. Runs self-hosted on Cloudflare with private resume storage and no OpenAI API key required.

Enables deterministic calculations for AI API and subscription costs, meeting time zones, recurring schedules, and cron next-run previews, returning normalized inputs, units, assumptions, dated sources, and links to results.

Provides task and project management tools for AI agents, including todo list management, prioritization frameworks like Eisenhower Matrix and RICE scoring, time estimation using PERT, daily standup generation, and sprint burndown calculation.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Enables a family assistant to search documents, inspect, fill, edit, and sign files, manage scheduled work and runs, and perform web searches, with each tool gated by the caller's groups.

MCP server for document conversion and processing, enabling AI assistants to handle various document formats.

MCP server that provides tools to control a server-owned Pomodoro timer, allowing focus, pause, resume, skip, reset, and stats operations.

Enables AI assistants to convert and process various document formats through an MCP server interface.

MCP server for accurately reading and writing Excel .xlsx files while preserving structure, styles, and formulas. Provides tools for inspecting, editing, and aggregating spreadsheet data, with optional LibreOffice recalculation.

Enables AI agents to read, write, and edit Office documents via LibreOffice with token-efficient design. Supports multiple formats including DOCX, XLSX, PPTX, and legacy formats through LibreOffice bridge.

Provides a read-only MCP interface to Kaiten, letting an agent retrieve cards, spaces, boards, columns, lanes, discussions, checklists, tags, custom properties, sprints and time-tracking reports with paging, filtering and long-text continuation. It also lists card and comment attachments and downloads selected originals as local files, with hashes and safe unique names, for further agent analysis.

Provides tools for reading, modifying, and analyzing Google Sheets, as well as searching and managing Google Drive spreadsheets with access control.

Enables AI agents to create documents from templates, send them for legally valid Argentine electronic or digital signature, track status, download signed PDFs with audit certificates, and cryptographically verify signatures.

Provides seamless integration with macOS native applications including Messages, Notes, Contacts, Mail, Reminders, Calendar, and Maps, enabling natural language control and automation of Apple ecosystem apps.

Enables AI assistants to read, create, edit Word/Excel/PPT files and manage the filesystem on the user's computer via natural language.

An MCP server that exposes Google Docs and Gmail capabilities to LLMs via SSE transport.

MCP server that provides document conversion and processing tools, enabling AI assistants to handle document formats through natural language.

Turns markdown the agent produced into a link that renders as a typeset, paginated document with tables, Mermaid and math. The document is encoded in the URL, so nothing is uploaded and no account is needed.

An MCP-compliant server that exposes Gmail and Google Docs as tools, enabling AI agents to draft, send, and manage emails, as well as create, read, and append to documents through natural language.