"files and folders" matching MCP servers:

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables sending and receiving email over generic IMAP and SMTP, with tools for searching, reading, drafting, attaching files, managing folders, and waiting for new messages.

MCP server for parsing .eml email files, extracting metadata, content, and attachments with smart organization into folders. Enables AI to read and handle email files offline without triggering trackers.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

Read selected local folders from ChatGPT on macOS, with per-folder read-only or read-write access and hash-checked, recoverable edits. Requires local installation and a private ChatGPT app. The Glama container is a synthetic evaluation demo; it does not connect to files on your Mac.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables publishing folders, HTML files, or locally/SSH-reachable apps to public Cloudflare URLs, with tools for deploying, exposing ports, managing private links, rotating keys, and inspecting logs.

Enables read-only iCloud Drive access over MCP, allowing users to browse folders, search filenames, download files, and extract document text.

Generates test files locally (images, PDFs, CSVs, corrupted files, etc.) from natural language prompts, with configurable sizes and safety limits.

Enables listing, reading, and searching local files and directories through MCP tools.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

A Model Context Protocol server for Google Drive API v3, enabling AI agents like Claude to manage files, folders, and sharing.

A production-grade Model Context Protocol (MCP) server for Microsoft SharePoint that connects AI agents to read files, manage folders, and reason over organizational knowledge.

An MCP server that gives an agent terminal and file-management capabilities, including running shell/Python commands, searching and reading files, and creating/editing/deleting files and folders.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

Enables secure OAuth-based access to pCloud cloud storage, letting users browse, search, read, and manage files and folders through the Model Context Protocol.

Enables AI agents to run shell commands, execute Python code, read and write files, search text, and create or delete folders through MCP stdio tools.

Enables AI agents to execute terminal commands and Python scripts, search and manage files, and create or delete folders through the Model Context Protocol.

Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.

An MCP server built with FastMCP that provides basic terminal abilities like running commands, running Python, and working with files and folders.