"Buffer.com social media scheduling MCP server" matching MCP servers:

A local MCP server that securely uploads explicitly selected local images to RecallFox, keeping image bytes and OAuth tokens out of model context.

Provides tools for AI clients to scan, match, and scrape TMDB metadata for local media files, with safe sidecar writing or full Jellyfin-style reorganization including file renaming and NFO generation.

Enables agent clients to index and organize local media libraries by recognizing codes from filenames, querying media, checking library quality, adding files, fetching metadata, and scanning directories, with deletion gated by verified magnet links.

This server provides robust media metadata detection, AAC audio stream extraction, and EXIF data reading using only pure JavaScript. It is optimized for execution in highly restricted environments where traditional binaries like FFmpeg or Python are unavailable.

Enables secure extraction, creation, and inspection of ZIP archives and media files, with anti Zip-Slip protections, Windows long-path support, and dependency-free binary image dimension inspection.

MCP server that tracks what you are working on. Logs are stored locally as one markdown file per day on your Desktop.

An MCP server that enables analysis of local media files, including video, audio, and documents, by uploading them to EnriProxy for server-side extraction. It supports various complex file formats and provides structured model analysis for media types often unsupported by standard MCP clients.

A powerful, security-hardened MCP server for intelligent file organization. Provides high-level atomic tools for organizing files into categories, detecting duplicates, extracting EXIF/ID3 metadata, scheduling automatic organization, and more — for use with Claude, Cursor, and Gemini CLI.

Enables drafting social welfare documents and creating, previewing, validating, and converting Hangul HWPX/HWP outputs, while also recording and aggregating program participation and expense data. It connects these document and record-management tasks to AI apps through a local MCP server.

A comprehensive integration providing 114 tools to manage Google Drive, Docs, Sheets, Slides, Gmail, Calendar, and more through the Model Context Protocol. It enables seamless interaction with the full Google Workspace suite for file management, communication, and scheduling directly within Claude.

Self-hosted media server with AI-powered management via MCP, providing tools for Jellyfin, Sonarr, Radarr, and download management.

A stdio MCP server for Claude Desktop that provides an interactive media player, a local command runner, and file read/write/edit tools.

Enables Claude Code, Cursor, OpenCode/LunaCode, and other MCP clients to invoke the harness's shell, file, code, scheduling, and device-control tools over stdio.

Enables reading and processing various document formats including Word, PDF, RTF, and text files. Supports extracting media elements like images and links, with features for PDF page range selection and automatic text encoding detection.

Enables agents to save images and videos from social links into a local library, then browse records, download media, refresh metadata, and inspect timestamped engagement counts through tools like save_media, list_records, and get_media. It connects to the running backend over stdio or streamable HTTP, using a local library token rather than opening its own database.

MCP server for archiving media from 600+ sites (YouTube, TikTok, etc.) and managing a local library with search, metadata, and download tools.

Enables AI agents like Claude Code to directly control a ZSpace NAS with 90 tools for file management, media, notes, cloud disks, and more.

Enables burning optical media via the K3b CLI. Supports listing drives, burning data discs, and executing arbitrary k3bcli commands.

Enables Plex Media Server administration including library management, media file identification and renaming, batch processing, and automatic ingestion with folder watching.

[MCP] A Model Context Protocol (MCP) server for Eagle. Manages local media files (e.g., images, mp3, mp4)

A full-featured secure MCP server for local file system operations, with built-in image processing, OCR and media tools.

Stages local images and videos into SchedulifyX by uploading files out-of-band and returning media IDs, enabling scheduling without passing bytes through the AI context.

Enables AI assistants to search local files on Windows using the Everything search engine, supporting basic and complex file searches with filters like date, size, media type, and document type.

Enables file operations (PDF, Office, images, archives, media) through natural language, with tools for reading, writing, converting, and analyzing files locally.

An MCP server for managing a video pipeline with file, Excel, and search tools, integrated with Claude AI via a cloudflared tunnel; media processing (TTS/STT/images/montage) is under development.

A modular MCP server that provides comprehensive system automation capabilities including file operations, Telegram integration, job scheduling, system control, and YouTube downloads. Features persistent data storage and a clean architecture for easy extension and maintenance.

Enables full management of a Plex Media Server via Claude, including browsing libraries, fixing metadata, managing collections, and more.

Enables interaction with Telegram chat history, including text, photos, and documents, via the GramJS MTProto userbot. It provides tools for searching chats, syncing message history, and downloading media files for local analysis.

An MCP server that reads and builds CapCut projects locally, enabling natural language queries about project contents, missing media, and creation of new edits including beat-synced cuts.

A locally-run server that lets an AI assistant hide files inside photos or videos, reveal concealed content, perform forensic analysis of images and videos, and convert media between formats. It reads input and writes output directly on the user's own machine, so files never need to be handed off through a separate client.