Enables building RudderStack Profiles projects using natural language through AI assistants, supporting data discovery, identity resolution, feature engineering, and propensity modeling.
Enables searching Facebook Marketplace listings, sweeping query variants and sort orders to group comparable items like-for-like, compute price stats and deal scores, and flag scam or low-quality listings. It also drafts opening offers, saves watches with target prices, and reports new listings, price drops, and local price history, with Hebrew/English and Israeli ₪ support.
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.
MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.
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 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.
A powerful MCP server for Facebook Ads Library that provides 15+ tools for competitive intelligence, creative analysis, and performance prediction, enabling users to search, monitor, and analyze advertising data.
Enables running web searches across multiple engines like Google, Bing, DuckDuckGo, Yahoo! JAPAN, and Brave via Playwright, with tools to fetch page content and manage browser profiles.
Indexes codebases using semantic embeddings for natural language search, enabling developers to find code with queries like 'how does authentication work'.
Enables turning requirements documents into RFCs, functional test scenarios, and a traceability matrix, with tools to parse, diff, and verify coverage.
Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.
