"How to search for Facebook profiles" matching MCP servers:

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

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.

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.

Enables competitive intelligence, market analysis, and advertising insights by providing 15+ advanced tools to search, analyze, monitor, and predict Facebook ad performance.

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 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.

Aggregated search API service that provides real-time web search capabilities for AI assistants via MCP.

Provides hybrid search (BM25 + vector) and staleness reporting for local markdown notes, exposing search and indexing tools to AI assistants via MCP.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Enables searching Meta ads by text, country, category, advertiser, or landing domain from an AI assistant, then opening individual ads and advertiser pages, ranking what is scaling, finding related ads by page or domain, and downloading images and videos for ad ids.

MCP server for searching files on macOS by name or content using semantic and lexical search, providing file paths and line numbers for agents to read from.

A self-hosted, MCP-native web-search backend for AI agents that provides meta-search, clean extraction, RAG with citations, and GitHub project selection.

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

This read-only MCP Server allows you to connect to Facebook data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

MCP server for pi that provides free web search, web fetch, advanced search, and scholarly paper search via hosted Exa and Parallel services without requiring an API key.

MCP server for web search and URL reading via CLIProxyAPI Antigravity backend, enabling web search, URL content retrieval, and grounded research.

A federation MCP server that sits in front of multiple memory backends and presents a unified search surface to AI agents, allowing a single query to search across knowledge graphs, session history, and web search.