"powerpoint" matching MCP servers:

Enables AI agents to list, read and download the files attached to Gmail messages, extracting text from PDFs, Word, Excel, PowerPoint and plain-text files straight into context or saving them to disk. It runs locally with read-only Gmail access, so attachments can be summarised, checked or analysed without leaving the chat.

Lets AI assistants browse a Brightspace-based course platform read-only: list courses, search modules for lecture slides, extract text from PDF/PowerPoint/Word files, and check upcoming deadlines, assignments, and announcements. Runs locally on the user's own machine with their own browser sign-in.

Enables creating executive presentation suites from a single prompt, generating PowerPoint, interactive web deck, KPI dashboard, whiteboard infographic, and vector PDF files through MCP.

Enables parsing and extraction of content from various document formats (PDF, Word, Excel, PowerPoint) into Markdown format using the Niutrans document API.

Parses various document formats (PDF, Word, Excel, PowerPoint) into Markdown content using NiuTrans API, enabling extraction and reading of document text through natural language interactions.

Enables querying courses, announcements, activities, calendars, grades, discussions, attendance and materials from a Blackboard-based Aula Virtual account using the user's own permissions. It also searches downloaded PDF, Word, PowerPoint and Excel files locally and produces private exports such as ICS agendas and CSV grade copies.

A Model Context Protocol server that converts various file formats (PDF, PowerPoint, Word, Excel, Images, etc.) to Markdown to make them accessible to LLMs.

Converts PDF, Word, PowerPoint, Excel, and HTML documents into Markdown, handling files up to 8 MB in a single call and routing larger or scanned files through an OCR and table-detection queue that returns Markdown plus a JSON structure file. Results arrive either by polling or a signed webhook.

Enables vectorless RAG by letting LLM clients like Claude and Cursor parse documents, inspect outlines, and retrieve specific sections with heading breadcrumbs. Supports PDF, Word, HTML, and PowerPoint without LLM calls or heavy ML models.

Enables MCP clients to extract text from PDF, image, Word, PowerPoint, and Excel files using MinerU, either on the local machine or a self-hosted private-network API. Parsed results are saved locally as Markdown, structured JSON, and extracted images, which can then be read back in segments.

Enables AI agents to inspect and convert PDF, PowerPoint, Excel, and many other file formats into clean, structured Markdown, with chunking support for long documents.

Enables Google Antigravity agents to quickly inspect and read PDF, Word, Excel, PowerPoint, and text documents, extracting structure and content as token-efficient Markdown.