AVCLabs Media MCP

Created By
14 days ago
AVCLabs MCP brings AI-powered video upscaling, quality enhancement, and SAM3-based image segmentation into MCP-enabled workflows. Improve low-resolution videos, remove noise from footage, and extract target objects using text prompts.
Overview

AVCLabs MCP automatically upscales video resolution, reduces noise, and restores compression artifacts within AI agent workflows. It produces sharper, cleaner, and higher-quality video outputs, supporting HD and 2K rendering in custom pipelines.

Everything runs through a single API call. There is no need to configure complex pipelines, tune parameters, or process footage frame by frame. Simply submit your video and describe the desired enhancement.

AVCLabs MCP also integrates SAM3, Meta’s state-of-the-art segmentation model, directly into AI workflows. It automatically detects and segments objects, returning high-precision pixel-level masks and bounding boxes.

Whether you need to remove backgrounds, isolate subjects, or extract specific objects, you can simply describe the target in natural language. AVCLabs MCP handles the segmentation instantly, and returns masks and bounding boxes that are ready for downstream tasks such as compositing, annotation, or further AI analysis.

Project Info
Created At
14 days ago
Updated At
3 days ago
Author Name
-
Star
-
Language
-
License
-
Category

Recommend Servers

View All
Bring your real authenticated browser session to AI coding agents. Local-first MCP server + Chrome MV3 extension. No cloud. No telemetry.
@Cubenest

peek records the user's actual logged-in browser (DOM via rrweb, console events, network metadata, optional response bodies via opt-in Deep capture) through a Chrome MV3 extension. The extension ships events through a native-messaging stdio bridge to a local MCP server (peek-mcp), which persists them to a SQLite database at ~/.peek/sessions.db. AI coding agents (Claude Code, Cursor, Cline, Windsurf) read sessions from the database via 10 MCP tools: Tool What it does list_recent_sessions List recently recorded sessions (id, origin, ts, event count). get_session_summary LLM-readable narrative summary of a session. get_session_console_errors Console errors recorded in a session. get_session_network_errors Failed/notable network requests in a session. get_user_action_before_error Last N user actions before a console error. generate_playwright_repro Generate a runnable Playwright test from a session. get_dom_snapshot Reconstruct the DOM at a given timestamp. query_dom_history Timeline of attribute/text changes for a selector. request_authorization Side-panel consent for write actions (Level 3). execute_action Dispatch a UI action (gated by permission level + destructive blocklist). Why local-first matters Every other "browser session for AI" tool ships to a vendor cloud. peek's SQLite + extension live on the user's machine — no remote endpoints, no telemetry. The privacy policy (docs/peek/PRIVACY_POLICY.md) is the source of truth. Install # 1. Add the MCP server to Claude Code claude mcp add peek -- npx -y @peekdev/mcp # 2. Install the Chrome extension from the Chrome Web Store # (link added once the CWS listing is approved)

a day ago