It enables AI agents to access live web data through page fetching, search, prebuilt scrapers, datasets, and remote browsers, using free direct requests and local Chrome rendering with Bright Data only as a fallback for bot walls. It also adds budget controls, caching, pagination, cancellation, retries, SSRF protection, and both stdio and HTTP transports.

Mounts a headless, low-memory browser for agents with a text-first tool interface, enabling navigation, semantic tree/markdown extraction, structured-data scraping, screenshots, form interaction, and session capture. Reads and interactions are returned as semantic trees, markdown, or CSS-selector JSON rather than pixels, which is cheaper for a model to reason over.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

Enables AI agents to open URLs in a persistent headless browser and interact with pages by clicking, typing, selecting, reading content, evaluating JavaScript, waiting for elements, and capturing screenshots.

Enables Claude to query read-only Oura Ring data—including sleep, readiness, activity, heart rate, stress, and device status—through raw collection access and analysis tools for summaries, weekly comparisons, HRV trends, and readiness drivers.

Enables local, evidence-led analysis of a master recording into inspectable stems, timing, beats, harmony, lyrics, MIDI and sonic evidence, then finds complete-bar loopable sections for Shorts and other short-form video. Results stay traceable through source hashes, manifests, JSON/TSV/NPZ artifacts and portable Sonic Visualiser sessions, and it can run as a CLI, Python library, web service, container or MCP plugin.

Connects to a logged-in Windows LINE Desktop client to read chat history and cached images for a given chat and date range, and to perform GUI-driven actions such as batch sending text, files, real @mentions, quote replies, and forwarding after a single approval. It also supports read-only cross-chat search over the last 31 days, recent-chat listing, and local receipts that stop rather than resend when the outcome is uncertain.

Enables any AI agent to work inside your own signed-in Chrome or Edge, with risky steps gated behind approvals the agent cannot skip, receipts for every action, routines that replay without the AI, and per-site packs that read a site's own data. Everything runs locally, so pages, cookies and passwords never leave your machine.

Bridges a local Figma development plugin to a local MCP server, letting the client read and write real canvas layers through the Figma Plugin API without consuming official MCP or Dev Mode quota. Supports layer and auto-layout editing, component and variable inspection, design-to-code context retrieval, and PNG/JPG/SVG/PDF export.

Enables agents to connect to and work with PostgreSQL, MySQL, Redis, SQLite, and MongoDB through a uniform tool surface for opening connections, running queries and commands, inspecting schemas, and managing documents.

Enables MCP clients to run read-only health checks against HTTP, TCP, SSL, and Docker targets defined in a single config.json, reporting status codes, latency, certificate expiry, and container state. Nothing is written, restarted, or modified — each probe just opens a connection, reads, and closes it.

Enables read-only MCP access to structured Brazilian curricular references, supporting learning-objective searches, comparisons across states, and queries tied to versioned publications.

Provides AI assistants offline fuzzy search, precise section retrieval, and section listing over bundled mobile-development documentation, enabling natural-language lookups of components, hooks, guides, and best practices.

Enables clients to retrieve customer records by ID and issue refunds to active customers over stdio, with strict schema validation and JSON-RPC error mapping.

PostgreSQL MCP server, read-only by default: query, schema introspection, EXPLAIN plans, index advisor, and DBA health checks.

Lets an AI assistant read and modify a YNAB plan, including viewing budgets, accounts, categories, and transactions, plus creating and deleting transactions. It can run locally over stdio or as a remote Cloudflare Worker connector, with optional read-only mode and category suggestions.

Enables AI assistants to query and manage a Discogs music collection in natural language, including collection and catalog search, statistics, recommendations, wantlist and folder updates, ratings, and custom fields. It authenticates with Discogs via OAuth and caches a collection snapshot to answer many queries quickly.

Enables Claude or any MCP client to use the Google Gemini web app through a real Chrome browser with a normal Google account and no API key, including sending prompts, managing chats, uploading files, downloading results, and inspecting or interacting with pages via accessibility roles.

Enables agents and terminal users to browse MongoDB databases and collections, run queries and aggregation pipelines, modify documents, manage indexes and collections, inspect statistics and logs, and explain query plans.

Enables MCP clients to operate an already-logged-in Chrome tab through a browser extension and chrome.debugger, exposing navigation, page reading, interaction, screenshots, cookies/storage, network and console debugging, downloads, and batch actions under default-deny safety guards.

Enables AI coding agents to read GitHub repositories, files, commits, issues, pull requests, releases, Actions, and search results through 18 read-only MCP tools. It reuses existing credentials, routes around unreliable networks, and caches responses on disk to stay within rate limits.

Enables destination discovery, stay search, detailed listing reads, and dated price comparisons through MCP tools and an interactive widget, while directing booking to the host website.

Create and track AI music videos and audio-reactive visuals from songs.

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.