"The social media platform Facebook" matching MCP servers:

A Model Context Protocol (MCP) server for managing social media posts, currently supporting X (formerly Twitter).

Enables checking email addresses through the Email Social Media Checker API to verify and validate email information.

Enables AI assistants to manage Facebook Pages through the Graph API, including publishing and scheduling posts, moderating comments, and reading page and post analytics.

Enables MCP clients to retrieve Facebook users' latest post times and recent posts, search for people and pages, and send Messenger messages.

An MCP server for image and video processing that allows AI assistants to resize, convert, compress, and analyze media files locally without API keys. It supports a wide range of formats and provides tools for tasks such as metadata removal, frame extraction, and video conversion.

An MCP server for AI-powered media generation using Google Gemini, enabling creation of images, videos, music, and speech directly from AI agents.

A Facebook/Messenger MCP server that lets AI agents read and engage with profiles, pages, posts, comments, groups, Messenger conversations, notifications, and events using the user's existing browser session cookies — no Graph API app, tokens, or browser automation required. It supports multi-account and Page switching, write operations (posting, commenting, messaging) with per-identity limits and cooldowns, and honest error reporting where Meta has decommissioned cookie-era endpoints.

Enables interaction with the official Facebook Graph API, providing tools for managing Pages, Posts, Comments, Reactions, Media, Events, Insights, and credential storage/validation.

Enables access to the Facebook Scraper3 API to extract data from Facebook profiles, pages, groups, and the marketplace. It provides comprehensive tools for searching posts, people, and events, as well as retrieving detailed metadata for comments, reactions, and media.

Lets an AI assistant read and write business records in plain language, including looking up people, creating and updating tasks, logging time, and pulling utilization reports through a synthetic ops platform or an optional ClickUp adapter.

Unified MCP server for Gemini media generation --Nano Banana (images), Veo 3.1 (video), TTS, and Lyria 3 (music). Single Go binary, 12 tools, supports Gemini API key and Vertex AI.

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

MCP server for extracting transcripts from Instagram videos using AssemblyAI, enabling timestamped transcriptions with speaker labels through natural language.

Enables users to manage Sonarr and Radarr instances through natural language, allowing search, addition, deletion, and monitoring of TV series and movies.

Enables AI assistants to inspect, triage, and safely retry media-processing jobs through read/write tools, runbook search, and media probing, with OAuth scopes, rate limiting, idempotency, PII redaction, and human approval before changes.

Score your agent's governance (0-100), lint MCP tool definitions, and estimate costs across all major models. Free diagnostic tools with no API key needed. Expert skill files on governance, economics, and system architecture available with free tier.

Gives LLM agents read-only access to YouTube and Instagram analytics, returning engagement rates, performance versus a channel's median, outlier detection, and Shorts/Reels versus long-form splits for channels, videos, comments, posts, and hashtags. It also provides a prompt that audits a channel and proposes data-backed video ideas, with quota-aware caching and actionable error messages.

MCP server for explicitly authorized Truth Social access, offering read-only tools for profiles, timelines, search, and notifications, with optional write operations enabled only under explicit authorization and confirmation.

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

Enables AI clients to call the documented APIs of real business platforms—job boards, freelance marketplaces, ad networks, e-commerce, messaging, social, sales, trading and market data—through a single CLI and runtime. Serves 455 catalogued platforms with one shared verb vocabulary per category, in both Python and TypeScript.