"Interacting with AI models like OpenAI or Google models" matching MCP servers:

Allows MCP clients to create, validate, preview, and submit product showcases on Build with AK, with support for local stdio and remote HTTP transports.

Enables reading and extracting structured data from Google Docs and Sheets, including text, tables, formulas, and images. It supports advanced image handling and multiple authentication methods for interacting with private and public workspace files.

A powerful Model Context Protocol (MCP) server implementation for seamless Google Docs API integration, enabling AI assistants to create, read, update, and manage Google Docs.

Enables MCP-compatible AI clients to create, read, edit, format, organize and search your documents through the Google Docs and Drive APIs after a one-time OAuth sign-in. Supports appending, find-and-replace, styling, tables, lists, links, page breaks and full-text search without opening the Docs UI.

Enables AI agents to edit Google Docs via text anchors rather than character indices, preserving version history and enabling surgical edits without full document rewrites.

Enables AI agents to diagnose and fix technical SEO, content, and generative engine optimization issues by providing 72 tools that integrate Google Search Console, Google Analytics 4, PageSpeed Insights, structured data, llms.txt, WordPress, and GitHub.

Enables low-level interaction with Google Slides API, including template reuse, element bounding box editing, slide rendering, and batch updates for automated slide deck creation.

Enables interaction with Google Slides presentations through OAuth2 authentication. Supports creating new slides, adding rectangles, and managing presentation content through natural language commands.

A Model Context Protocol server that provides an interface for AI models to interact with Google Docs, enabling reading, creating, updating, and searching Google Documents.

Enables MCP clients to search, read, list, create, update, and delete Wiki.js pages using a user's own Google Workspace identity, with Wiki.js enforcing all authorization.

Enables AI coding assistants to design, mutate, and cloud-sync Webstudio projects offline with full MCP tool support and no API limits.

MCP server that allows you to connect to Google Docs through Claude, enabling listing, reading, creating, updating, searching, and deleting documents.

A Model Context Protocol server that enables AI assistants like Claude to read from, append to, and format text in Google Documents programmatically.

Enables reading and editing Google Docs documents, including creating documents, inserting and deleting content, formatting text, and performing find-and-replace operations through natural language.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

Enables AI assistants to read, write, and manage Google Docs, Sheets, and Drive files through structured MCP tools using service-account authentication, without requiring an OAuth consent screen.

Provides comprehensive interaction with Google Docs, featuring specialized support for document tabs, nested structures, and markdown conversion. It enables users to list, read, create, and perform complex batch updates on documents using Google service accounts.

Integrates Google Calendar with AI assistants through the Model Context Protocol, allowing users to view and manage calendar events through natural language interaction.

Connects Claude Desktop to Google Docs and Google Drive, enabling comprehensive document reading, writing, formatting, structuring, and complete Drive file management including shared drives support through OAuth 2.0 authentication.

Enables AI clients to get structured, read-only answers about a Moodle site: identity, capabilities, reachable external functions, and installed H5P libraries with JSON Schema conversions, for safe course and content inspection.