"Latest Next.js Documentation" matching MCP servers:

MCP server for integrating Confluence with AI agents, enabling search, read, and retrieval of documentation, plus syncing and pushing markdown files.

Enables AI assistants to directly read, write, and manage Feishu documents, spreadsheets, and multi-dimensional tables. It supports automated documentation tasks and rich text management, including Mermaid diagrams and image uploads.

Generates professional PowerPoint presentations from Markdown with support for code blocks, tables, custom branding, and mixed formatting. Transforms lesson plans and documentation into styled PPTX files with syntax highlighting and customizable themes.

An MCP server for the Docmost documentation platform that enables managing pages, spaces, and comments through natural language. It supports content search, page exports, and revision history tracking within the Docmost workspace.

Shared clipboard across Mac and Windows. Get the latest clip (optionally only from another machine), search clipboard history across devices and list paired devices; passwords and API keys are withheld unless allowed.

Provides a local-first MCP interface for managing SQLite-backed projects, boards, and tickets, including metrics, epics, documentation links, run-history, and staging-lease coordination with completion summaries for done items.

Enables creation, management, and deployment of n8n workflows with enhanced context and automation capabilities. Features code extraction, automatic documentation, template generation, and intelligent project organization for streamlined workflow development.

Orchestrates Fireflies, Asana, and Notion MCP servers to automate end-to-end meeting workflows. Enables users to search meetings, extract action items, create tasks, and generate meeting documentation through natural language commands.

An MCP server that enables AI assistants to interact with Atlassian Jira and Confluence across Cloud and Server/Data Center environments. It supports tasks like searching and summarizing documentation, managing Jira issues, and creating content through natural language.

Enables Claude to read, create, and update Google Docs through OAuth authentication. Deployed as a remote Next.js server on Vercel with support for multiple users and secure API key management.

Enables AI chat integrations to manage todo lists by providing tools for adding, listing, updating, and deleting tasks. It is built with Hono and supports flexible deployment options including Cloudflare Workers with D1 persistence.

Enables managing organizations, teams, billing, profile, tokens, and documentation on the FerrLabs platform API through stdio or Streamable HTTP transports. It ships as the published @ferrlabs/mcp package and container image at ghcr.io/ferrlabs/mcp, built on a shared Node-only core.

Provides AI assistants with comprehensive access to n8n workflow automation platform, including 543 node documentation, 2,709 workflow templates, validation tools, and optional workflow management capabilities for creating and deploying automation workflows.

A Next.js MCP server that provides an inline roleplay configurator UI for Claude, allowing users to create and share persona-based roleplay scenarios through a simple web interface.

An MCP server that provides AI assistants with comprehensive access to n8n workflow automation nodes, properties, and documentation. It enables models like Claude to search for nodes, access configuration templates, and manage workflows through natural language.

Enables MCP-compatible clients to search, read, and manage Confluence Cloud pages, including publishing and updating documentation from Markdown, with support for folders and secure API token storage.

Enables AI assistants to interact with Outline documentation services by searching, reading, creating, editing, and archiving documents, managing collections, and working with comments and backlinks.

Enables AI assistants to interact with Outline documentation services for searching, reading, creating, editing, archiving, organizing, and commenting on documents and collections.

Enables AI assistants to interact with Outline documentation services for document search, reading, creation, editing, and archiving, plus collection and comment management, backlink discovery, and direct content access via MCP resources.

Enables AI assistants to search, read, create, edit, and archive documents in a collaborative documentation service, plus manage collections, threaded comments, and backlinks. Includes MCP resources for direct URI-based content access and automatic rate-limit handling.