Enables MCP clients to search and read Notability notes, including handwritten pages via OCR-based fuzzy search and page images rendered as PNGs. Runs entirely against a local synced index, so queries never touch the network.

Enables AI clients to securely control Linux and WSL2 systems over Streamable HTTP with Bearer token authentication, supporting command execution, background jobs, file operations, Docker management, system inspection, and audit log access with safety confirmations and path protections.

Enables MCP clients to curate YouTube watch history and locally search selected transcripts using SQLite FTS5, ChromaDB embeddings, and reciprocal rank fusion, with tools to browse unindexed history and add videos.

Renders validated declarative scene specifications into MP4 videos inside disposable, network-disabled containers, then serves an embedded player with playback controls and diagnostics through MCP Apps. Users can iteratively revise scenes conversationally, with revision history preserved and identical renders reused per account.

Enables AI assistants to automate Microsoft Edge in IE mode through Selenium and IEDriver, letting them inspect legacy pages, fill forms, click controls, handle frames, alerts, windows, and file uploads.

Enables agents to retrieve permission-filtered document knowledge across organizations and knowledge bases, and to identify and expand business terms and typed object relationships through a unified MCP interface.

Enables developers to register custom tool-calling functions, execute path-safe file operations within an isolated workspace, and keep in-memory memory and audit state for AI agent workflows.

Enables MCP clients such as Codex and Claude to plan natural-language or timed actions, generate and revise skeletal motion locally through a Kimodo runtime, and review results with diagnostics, candidate comparison, and interactive 3D previews. Provides checked handoffs of verified exports into Blender and Unreal Engine.

Enables MCP clients to read exported WhatsApp school-group chats, surface events and doubtful amounts, dates, or times, check conflicts, and export confirmed events to an .ics calendar with reminders.

Enables MCP clients to retrieve mid-band account summaries, quarterly reviews, upgrade-path eligibility, and priority artifact access for a named-relationship retainer.

Enables querying USDA FAS Export Sales Reporting data through read-only tools, including weekly export quantities by commodity, destination country and market year, latest-week and top-destination slices, data release dates, and lookups of commodity, country, region and unit codes. Cross-references ESR's own integer codes against packaged reference lists so valid commodities and destinations are resolved before any request.

Enables AI clients to extract transcripts from specific Douyin, Xiaohongshu, and YouTube links, or from local media and subtitle files, with tools to check readiness, run extraction, and read paginated transcripts.

Enables MCP clients to drive a separately installed OrcaSlicer instance through a local stdio server, covering slicing jobs, profile and 3MF/settings editing, raw CLI options, artifact inspection and an optional desktop adapter for GUI actions. It also provides job queuing, status tracking and runtime detection of the installed binary's capabilities.

Enables MCP-compatible clients to plan, validate, generate, and deploy complete network topologies from natural-language instructions, including live deployment to a running network simulator and export to configuration or script files.

Exposes an OSINT investigation toolkit to any MCP-compatible AI client, which can drive passive checks such as DNS, WHOIS/RDAP, breach, IP reputation, GitHub and news-geo lookups and chain findings across them. The server lists 20 tools by default (16 passive plus 4 graph and batch helpers) and 25 when active checks are explicitly allowed, running via uvx with no separate install.

Enables AI clients to control and inspect a Unity Editor through MCP tools for scene and play-mode operations, logs, screenshots, assertions, Lua execution, UI interaction, world observation, and bridge management; advanced UI/Lua/world features require project-specific adapters.

Enables a single owner to connect an authenticated Streamable HTTP client to read-only Microsoft Graph inbox previews and basic calendar data using their own Entra application and delegated consent, without sending, deleting, or modifying mail or calendars.

Enables a single owner to connect an MCP client to their own Gmail account over authenticated Streamable HTTP and read status, recent inbox messages, and full message content using their own Google OAuth app and grant.

Enables MCP clients to classify free-text purchase descriptions into United States federal procurement codes and submit authorized, idempotent reviews through typed tool contracts.

Enables AI clients to preview, search, read, create, update, schedule, and unschedule Garmin Connect workouts using a local Garmin session, with guarded writes and a limited tool set. Supports running, cycling, cardio, and strength workouts without exposing generic API, filesystem, or shell access.

Enables AI clients to search Korean court auction real estate by court, region, usage, sale date, appraisal/minimum price, and failure count; fetch case details; collect and resume jobs; and export results to Excel, CSV, and JSONL.

Enables users to index and retrieve local documents through semantic, BM25, or hybrid search, with tools for chunk reads and page images accessible from MCP clients such as Codex and ChatGPT web.

Enables an AI agent to see and control the screen of an already-running macOS virtual machine over VNC, exposing four tools: screenshot, click, type_text, and key_press. This lets the agent drive a disposable VM's UI directly with its own model, without touching the real desktop or running a separate agent loop.

Enables MCP clients to query and diagnose machine-learning training runs through read-only tools for listing experiments, reading configurations and final metrics, comparing runs, sampling metric curves, and detecting training failures.