"Latest Next.js Documentation" matching MCP servers:

Exposes local markdown documentation, notes, and knowledge bases to AI tools via the Model Context Protocol without embeddings or uploading.

Enables an LLM to keep a persistent scratchpad by adding and reading notes, retrieving the latest note as context, and generating summaries through MCP.

Local-first MCP server for navigating and maintaining arbitrary hierarchical documentation with flexible node structure, raw content, and multiple parents, leaving navigation decisions to the connected LLM.

Manages feature documentation and bug tracking inside an Obsidian vault, organized by project, enabling project listing, feature doc writing, bug filing, status updates, and retrieval.

A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

A TypeScript-based MCP server for handling a simple notes system with NextJS that supports creating and summarizing text notes using MCP concepts.

Enables Claude to interact with Hudu IT documentation, including searching, reading, creating, and updating articles, assets, passwords, companies, and more.

An open-source memory layer that provides persistent project context and architectural history for AI development tools across multiple platforms and sessions. It enables AI assistants to maintain a shared understanding of codebases while integrating directly with services like Notion for documentation management.

Gives AI agents access to a persistent document workspace, letting them search, read, and update notes, guides, and project documentation across a full catalog of tools, prompts, and resources. It connects either to the hosted Cloud endpoint over Streamable HTTP with OAuth or API-key auth, or to a self-hosted instance through a stdio bridge.

Enables humans and AI coding agents to collaboratively write to a shared knowledge base with conflict-safe claims, code-anchored staleness detection, and synchronized human/agent documentation via MCP and REST.

Connects MCP clients to Outline workspaces, enabling agents to safely read, update, and manage documentation through structured tools.

Enables AI agents to search, create, modify, and organize documentation pages and spaces in Docmost.

A proof-of-concept MCP server for AI assistant note-taking, enabling adding notes, fetching the latest note, and summarizing all notes.

Enables AI agents and humans to collaboratively manage kanban boards and Markdown documentation via MCP tools, with stable item keys, revision-safe editing, and full audit trails.

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 agents to read and write an in-memory notes store through reliable MCP tools, with configurable profiles, response budgets, capability gating, self-documentation resources, session recovery, and stdio/Streamable HTTP transports.

Enables AI assistants to interact with Outline documentation services to search, read, create, edit, and archive documents, manage collections and comments, find backlinks, and access content through MCP resources.

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

Enables AI assistants to interact with Outline documentation services, supporting document search, reading, creation, editing, archiving, collection management, comments, backlinks, and direct content access.

Enables note management (add, read, latest, summarize), current weather lookup by city, and news search via the Brave Search API, with configuration through environment variables.