"Free Tools for Online Searches" matching MCP servers:

Your team's prompt, rules, skills & docs library exposed over MCP (search_library + get_item); mark items "/" and they become slash commands. Free for individuals.

A macOS-only MCP server that lets Claude read and create events in Apple Calendar, list calendars, and find free time using EventKit.

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.

MCP server for Everhour time tracking with first-class Asana integration, enabling tasks lookup, time logging, timer control, and timesheet review.

An MCP server for Apple iCloud Calendar over CalDAV, supporting list, search, create, update, delete, RSVP, and free-time finding without local macOS dependencies.

MCP server for Deckrun — generate presentation PDFs, narrated videos, and audio from Markdown. Built for AI agents and IDEs. Free tier: no API key required — generate PDFs instantly. Paid tier: set DECKRUN_API_KEY to unlock video, audio, and account tools.

Enables AI agents to read and edit Word (.docx) and PDF documents with byte-level fidelity, using minimal in-package rewrites for DOCX and text-layer detection with page rendering for PDF, including OCR-free handling of scanned files via image output.

Enables AI apps to manage Google Calendar in plain language, including reviewing schedules, creating and changing events with guests and Google Meet, finding free time, and blocking Out of Office or Focus Time.

MCP server for Apple Calendar and CalDAV providers. Enables listing, creating, updating, deleting events, and checking free/busy status with per-calendar write protection.

Enables full CRUD operations on calendar events, free/busy queries, and availability slot finding via CalDAV, supporting Nextcloud, Radicale, iCloud, and other RFC 4791-compliant servers.

Enables conversion of files, HTML, and Markdown to PDF through natural language, using the FileToPDF API.

An MCP server that lets AI models interact with Oracle Fusion Cloud HCM across its entire REST surface. It uses generic, schema-aware tools to dynamically discover licensed modules and resources without per-endpoint code.

Serves Claude Desktop a unified, actionable read of Google Calendar and Google Tasks, surfacing overdue items first, then the day's events, free slots, and open tasks, with explicit-request-only write tools for creating, updating, completing, and deleting. Google stays the sole source of truth with no server-side storage beyond the OAuth token and a 30-second read cache.

Connects an MCP client to an existing classic Outlook session on Windows so agents can browse stores and folders, list recent messages, run literal text and metadata searches, and read plain-text bodies with attachment metadata. All access is strictly read-only, with no sending, deleting, moving, or network connections of its own.

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.

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.

Tech stack recommendations for developers. Deterministic 6-dimension scoring across 30+ technologies. 4 free tools, Pro features with API key.

Enables AI assistants to manage COR project management platform resources like projects, tasks, hours, clients, teams, and users through natural language.

Enables collaborative document authoring and composition with project-based organization, transforming Markdown and LaTeX content into professional PDFs with conflict-free multi-agent editing capabilities.

Enables AI agents to search, create, and manage Notion pages and databases through the Model Context Protocol. It features file-based operations and response extraction to optimize token usage and context efficiency.