"Personalized Summary Service" matching MCP servers:

Enables reading and extracting text from local documents (PDF, Word, Excel, PowerPoint, HWP, Markdown, CSV, etc.) without network access, and provides approval-gated summary saving and file organization.

Transforms chat conversations with AI into structured markdown summaries and automatically saves them to organized files in your notes directory. Supports different summary styles, handles large conversations through chunking, and provides tools to manage your saved summaries.

Creates a summary of photos from Apple Photos, generating a personalized year-in-review wrapped experience based on your photo library.

A desktop management platform for plugin management, log querying, service control, and packaging/deployment, with an MCP protocol bridge for AI clients.

Provides full read and write access to Excel workbooks (sheets, cell ranges, tables, formulas, formatting, and cross-workbook references) via MCP, running locally or as an HTTP/SSE service.

Enables searching, retrieving, and managing files in Google Drive using a service account. Supports file search with query syntax, metadata retrieval, folder operations, file moving, and folder creation.

A service that provides programmatic access to qBittorrent's WebUI API, enabling management of torrents, trackers, tags, speed controls, and system information through natural language.

Connects LLM coding agents to Home Assistant instances, enabling configuration file management, service calls, template testing, and automation diagnostics via MCP tools.

Local-first operator MCP server: recall across your own sessions, chats and files, an encrypted vault, SSH to your own hosts, and gated shell, browser and device tools. 130 tools over stdio or HTTP; everything runs on your machine — no hosted service, no account, no API key.

Enables LLMs to maintain persistent memory by reading and writing Markdown notes and sibling image assets in a user-selected local or sync folder, with no cloud service, account, or server to run.

Provides LLMs with access to molt-md, an encrypted markdown document hosting service, for managing and reading secure knowledge bases. It enables users to create, update, and organize encrypted documents into workspaces with full version control and end-to-end encryption.

Enables natural-language diagnosis of Linux system issues by providing sandboxed, typed tools for system, service, filesystem, and git inspection, with human approval for mutating actions.

Local multi-package manager cache cleaning MCP service that safely discovers, previews, and cleans caches for Maven, pnpm, npm, yarn, pip, uv, and Go.

Enables AI assistants to search local files and folders via the Everything search engine, with support for advanced queries, file metadata, text previews, and service status.

Enables AI agents to safely read, edit, and execute local Jupyter notebooks without running a separate service. Edits are guarded by compare-and-swap hashes and execution resumes or replays kernel state, so long-running cells aren't needlessly re-run.

Gives AI assistants full control over a VPS via SSH, enabling command execution, file management, service control, Docker and firewall management.

A comprehensive Model Context Protocol server that enables AI assistants to interact with and manage Windows systems, providing capabilities for file system operations, process management, system information retrieval, registry operations, service management, network diagnostics, and performance monitoring.

An MCP server that enables users to download webpages as markdown files using r.jina.ai service, with features for configurable download directories and automatic date-stamped filenames.

Enables read-only access to multiple Google Drive accounts simultaneously through secure service account authentication. Supports listing, searching, and extracting content from Google Workspace documents, spreadsheets, and text files.

Enables converting supported files and explicitly authorized public HTTPS pages into clean, structured Markdown through the Markovo service, with file access restricted to a configured root directory.

MCP server with 24 tools for live workspace state resolution. Pre-resolves git status, service health, file queries, memory federation, and multi-agent coordination into markdown before the AI sees it. Single-file Python (pyyaml only), MIT. Serves over stdio and SSE. Published as io.github.tcconnally/perseus on the MCP Registry.

An MCP server that enables integration with Google Drive through a service account to list files and retrieve detailed file metadata. It allows users to browse and inspect Drive contents using natural language via the Model Context Protocol.

Provides real-time weather alerts from the National Weather Service, news search capabilities via NewsAPI, and safe local directory exploration for AI assistants.

Enables MCP-compatible AI agents to browse, search, transfer, organize, pause, resume, and cancel files and folders across O2, Drive, OneDrive, and Google Photos accounts using the same local service and transfer queue as the desktop app.

Enables Codex on Windows to manage authorized HPC projects and Slurm jobs over SSH/SFTP, including file sync, command execution, job submission, logs/results, and persistent job monitoring. Runs locally via STDIO without requiring an MCP service on the cluster.

Servagent is an MCP server that enables a remote AI to take full control of a Linux server: command execution, file management, service administration, and more.

An MCP server that lets AI agents compress images, PDFs, video, audio, documents, and archives, writing the smaller versions back to disk via the MiCompress service.

Enables an OAuth-capable AI assistant to manage a self-hosted Linux server, starting with host-health and probe snapshots and optionally expanding to shell commands, bounded text-file reads/writes/moves, and asynchronous jobs through an owner-authenticated local broker. Configuration and credentials stay private on your own machine, with no hosted service or model API keys required.

Enables an AI agent to drive a remote Linux machine over the LAN through a single TCP connection, exposing tools for shell commands, jobs, interactive PTYs, file read/write/search/transfer, process and service management, networking, packages, and power control, with optional multi-host switching. Operates without SSH or any Linux-side installation beyond one stdlib-only Python daemon, using a state-free binary protocol.

Installs an agent on Linux hosts to allow shell commands, file edits, and service management through Claude.ai or ChatGPT via a secure outbound WebSocket connection.