"Facebook Live" matching MCP servers:

A local MCP server that lets Claude use your Facebook account through the normal website in a real Chrome window, with read-only tools and staged, confirmable write actions.

Enables searching, retrieving details, and monitoring Facebook Marketplace listings through direct GraphQL API calls using existing Chrome session cookies, with support for saved searches and price/location filters.

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.

Enables searching and scraping the public Facebook Ad Library to extract structured ad data such as advertiser, copy, landing URLs, and CTAs for competitive research, all without an account or API token.

Enables searching and browsing Facebook Marketplace listings, retrieving item details, nearby items, categories, and parsing listing URLs through MCP tools.

Enables agents to retrieve the contents of public social media posts — text, author, date, engagement counts, links, photos, and video frames — from X, Instagram, Threads, Facebook, LinkedIn, Bluesky, Mastodon, YouTube, Vimeo, Tumblr, Pinterest, and Reddit by simply passing a post URL. It works entirely without logins, cookies, or API keys, reading only what each site already exposes publicly.

An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.

An MCP server that enables AI agents to post Reels and Photos to Facebook by capturing and replaying the native web API through a Chrome extension.

Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.

MCP server that scrapes Terminal Trove to search CLI/TUI tools and retrieve design references like screenshots and install commands for agentic UI research.

Compares Figma frames to live pages, checking colors, fonts, and border radii, and generates a shareable HTML report.

An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion. Whisper fallback — transcribes audio when subtitles are unavailable (local or OpenAI API). Works with Cursor and other MCP host

Fetch live Amazon product data using Amazon Scraper API MCP server

Enables users to search Facebook Marketplace, vet sellers, flag scams, check comparable prices, and prepare listings while stopping before publish. Currently a work in progress, with only a ping tool functional.

An MCP server for fetching cricket data from Cricbuzz, including player statistics, live match scores, upcoming schedules, and the latest news.

Enables MCP clients to query public Facebook pages and profiles by handle, retrieving like counts, contact details, owner info, and recent posts with reactions, comments, and shares as structured JSON.

Enables read-only Reddit workflows from MCP clients, letting users check subreddit rules, size, and self-promotion flags before posting, and monitor whether posts remain live, were removed, or deleted with score and comment counts. No login or Reddit API keys are required.

Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.

Enables privacy-first web scraping and structured data extraction using a local headless browser and your own LLM key. Supports tools for scraping, batch scraping, data extraction with prompts or schemas, and screenshots.

Enables Claude to monitor Facebook Marketplace car and motorcycle listings, score them against custom criteria, and analyze accumulated listing history to reveal time-on-market, price trends, and sale triggers.