"Headless CMS platform Strapi" matching MCP servers:

A headless MCP server for interacting with Obsidian vaults, enabling AI assistants to search, read, edit, and manage notes and their structure without a GUI.

An MCP server for a plain-markdown LLM wiki vault with YAML frontmatter and Obsidian-style wiki-links, enabling headless full-text search, note reading, backlink discovery, and safe append/create-only writing with path traversal protection and an immutable raw/ directory.

Enables AI agents to use Obsidian vaults as persistent, bidirectional knowledge workspaces with wikilink/backlink resolution, structured frontmatter/tag indexing, task aggregation, and Obsidian Headless Sync.

Enables MCP clients to browse, read, search and tag notes in a headless Obsidian vault on Linux through versioned filesystem access, including targeted heading, block and frontmatter reads plus binary attachment previews. Also supports guarded atomic writes, appends, patches, moves and recoverable deletes that require version matches before modifying existing notes.

Enables management of Cozi Family Organizer shopping lists and todo lists through natural language. Supports creating, editing, and organizing family lists with real-time sync to the Cozi platform.

Enables AI models to interact with the Get笔记 (GetNotes) platform via its Open API. It supports managing notes, organizing knowledge bases, and handling tags through natural language commands.

Headless semantic MCP server for Obsidian, Logseq, Dendron, Foam, and any markdown folder. Features built-in hybrid semantic search, surgical AST editing, template scaffolding, zero-config local embeddings, and workflow tracking.

Provides full CRUD capabilities over Notion pages, databases, and content blocks, enabling natural language search, creation, and modification of Notion data.

Exposes Joplin's Data API as MCP tools so an LLM can search, read, create, update, delete, and organize notes, notebooks, and tags against a headless Joplin instance, including attachments and tag management.

Enables access to Dedao learning platform courses, transcripts, and comments, with Obsidian integration.

Connects AI assistants to the Tududi productivity platform to manage tasks, projects, and notes using GTD methodology. It provides a standardized interface for LLMs to read and manipulate data through a suite of over 25 tools and resources.

Gives AI clients OAuth-secured, remote read and approval-gated write access to an Obsidian vault, including search, backlinks, diffs, and audited proposals. It also proxies a headless Anki container through a scoped MCP gateway for flashcard management.

Enables local-first logging of daily activities and generation of daily summaries, weekly article ideas, and platform-specific social posts via Claude, storing everything in a single SQLite file.

An MCP server providing direct programmatic access to Obsidian vaults through CouchDB, the database used by Obsidian LiveSync. It enables AI agents to read, write, and manage notes and metadata in headless environments without requiring the Obsidian desktop app.

Enables AI assistants to interact with Yuque (语雀) platform through MCP protocol, supporting knowledge base management, document operations, search, and team collaboration features.

Owner-controlled continuity layer for Obsidian and AI agents, enabling cited handoffs and owner decisions across independent agents.

Enables saving URLs, local files, plain text, and platform content (WeChat, X, YouTube, PDF, images, audio/video, Telegram) as structured Markdown knowledge cards in an Obsidian vault, with optional AI-powered classification and tagging.

Remote MCP server that gives AI agents read/write access to your Obsidian vaults, supporting both local desktop vaults and headless mode.

Enables AI assistants to intelligently save, organize, and retrieve content through Mem.ai's knowledge management platform. Supports creating notes, collections, and AI-powered content processing with automatic organization.

Enables indexing and searching Obsidian notes via MCP, using Cloudflare's serverless platform for cost-effective vector embeddings and AI-powered search.