"Files" matching MCP servers:

Enables saving X (Twitter) Articles as Obsidian-faithful Markdown files with locally downloaded images and videos.

MCP server for parsing, searching, and extracting branches from XMind mind map files, supporting Markdown/JSON output, token-aware formatting, and Claude Desktop integration.

Enables AI agents to read, write, append, and delete content in Markdown files using structural selectors, without regex or string hacking.

A note-taking MCP server for Claude-based agents that provides persistent markdown files for easily referable notes, supporting create, read, update, append, and delete operations.

Enables AI agents to maintain a persistent, queryable memory stored as user-owned Markdown files, with dual-channel retrieval (FTS5 and optional semantic search) and an audited write pipeline.

Converts XMind mind map files into structured Markdown documents, preserving hierarchy and optionally including metadata.

MCP server for saving, reading, and listing Markdown notes in the filesystem. Enables agents to persistently store reports or notes as plain Markdown files.

Enables Claude to read and propose updates to your Obsidian vault using your Claude subscription, keeping files local.

Enables AI assistants to save well-organized technical articles to Apple Notes and local Markdown files simultaneously.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes via URIs and tools.

Provides API access to a locally-hosted task management system with features for creating, updating, and organizing tasks, including support for urgency levels, effort estimates, subtasks, and bi-directional sync with Obsidian markdown files.

Stores AI memories as Markdown files for visualization in Obsidian's graph view, allowing users to create knowledge graphs with entities, relations, and observations.

Enables AI models to interact with SiYuan Note systems, allowing management of notebooks, documents, blocks, files, and more through natural language.

Provides an agent-first note-taking system designed from the ground up for AI collaboration. Organizes your notes as a local vault of ordinary markdown files with semantic note types.

Enables uploading images and files to Notion pages from Cursor chat, supporting multiple attachment types like image blocks, file blocks, cover images, and icons.

Provides persistent memory for AI agents via MCP, enabling agents to store and access notes, files, and session context across sessions and clients while under user control.

iwec gives AI agents structured access to your Markdown notes as a knowledge graph instead of a pile of files. Agents search, retrieve, traverse, and refactor your notes by structure and links — not blind text similarity — working from the same plain .md files you edit by hand. No database, no cloud, no lock-in.

Enables agents to read, search, and propose durable knowledge stored as flat files in a GitHub repository, with every write opened as a pull request and domain owners approving changes in a web UI without touching git.

Enables agents to read and write Markdown documents, HTML pages, data files, PDFs, screenshots, and videos through a standard remote MCP server with OAuth, per-agent revocable project permissions, version history, and stable artifact links.

Enables MCP clients such as Claude Code and Zed to search, read, and (unless started read-only) create, append to, tag, and file Drafta notes stored as local Markdown files. Runs entirely over stdio with no network access, so all note content stays on disk.