"Tools for Data Analysis" matching MCP servers:

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.

Enables fleet management through natural language, providing tools to list vehicles, retrieve live status, trips, and fuel data from Cartrack's Fleet API, and synchronize daily and monthly reports to Google Sheets.

An MCP server that provides typed tools for AI assistants to read and write data from the Officient HR API, including people, calendars, contracts, expenses, and more.

Unofficial MCP server for accessing and managing TimeTree calendar data, supporting events, memos, and comments via email/password authentication.

A read-only MCP server for Slack that reads messages from channels the bot is invited to, without storing data. It provides tools to fetch channel history, thread replies, and resolve user IDs, with access controlled solely by channel invitations.

MCP server for reading and writing Excel (xlsx) files using SheetJS, providing tools to list sheets, read data, create files, add sheets, and update cells.

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.

Enables AI assistants to perform comprehensive Microsoft Excel operations including data analysis, cell editing, advanced formatting, and VBA execution on Windows systems. It provides a structured workflow for managing workbooks and worksheets through a dedicated Model Context Protocol 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.

A read-only MCP server for querying Timely time tracking data, providing tools for project overviews, time spent summaries, and work log entries.

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 creating PDFs from text, Markdown, or tabular data and editing existing ones through metadata and page operations, with support for CJK font embedding, tagged PDF/PDF-UA, and PDF/A archival output.

Enables AI agents to read and write Smartsheet data, with support for remote HTTP deployment to Microsoft 365 Copilot and Copilot Studio.

Provides access to RescueTime productivity data including daily summaries, activity tracking, productivity trends, category breakdowns, and hourly analysis to help understand and optimize time usage patterns.

The official Model Context Protocol (MCP) server for SeaTable, built and maintained by SeaTable GmbH. It lets AI agents interact with data in your bases — reading, writing, searching, linking, and querying rows through a focused set of tools. The server intentionally focuses on data operations, not schema management (creating/deleting tables or columns), keeping the tool set lean and safe for auto

An MCP server providing read/write access to Google Spreadsheets through a set of tools for managing sheets, rows, columns, and data.

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

Enables AI agents to read-only inspect an OmniFocus database, retrieving exact tasks and projects, Inbox roots, complete project hierarchies, tags, dates, notes and workload or review overviews. All access is read-only and bounded, with no mutation, write tools or sync triggers.

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.