"Information about WhatsApp Business API" matching MCP servers:

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.

Enables AI assistants to read WhatsApp chat history from a SQLite archive, optionally scrape live chats, and send messages through a chain of safety guards.

MCP server that wraps Shopify, Amazon, and Google Maps intelligence tools. AI agents pay autonomously in USDC on Base via x402 — no API keys or accounts needed.

Enables programmatic interaction with ArchiveBox web archiving functionality through a comprehensive API wrapper. Supports adding URLs to archives, managing snapshots, and executing CLI commands with multiple authentication methods and policy-based access control.

Enables AI agents to capture any public URL as PNG, JPEG, or PDF via REST API or MCP tools, including screenshot capture, page description, and PDF rendering.

Enables AI assistants to fetch web content, search for products on Google Shopping, and integrate with WhatsApp messaging. Serves as a bridge between Puch AI and external services through authenticated API endpoints.

Provides pre-fetch routing intelligence for AI agents by recommending the cheapest reliable route (HTTP, browser, machine endpoint, or avoid) before visiting a URL.

Fetch live Amazon product data using Amazon Scraper API MCP server

An MCP server that crawls API documentation websites and exposes their content to AI models, enabling them to search, browse, and reference API specifications.

MCP server for extracting Google Maps photos as structured JSON, supporting search by place name, URL, or ID, with category filters and stable photo IDs. Enables users to pull full-size image URLs, thumbnails, and gallery metadata for any business or landmark directly through natural language.

Enables searching across all companies hiring on JazzHR to retrieve structured job postings, employer directories, and delta feeds of new openings without needing individual career page URLs.

Enables AI agents to discover and fetch LinkedIn posts with engagement metrics (reactions, comments, shares) and author details, returning structured JSON per post.

Provides URL metadata extraction (title, description, image, site name) from OpenGraph and meta tags for link previews.

Extracts Glassdoor employer reviews and returns them as structured JSON, usable as an MCP tool in AI agents.

Enables users to retrieve live job postings from any iCIMS career site, providing structured data including title, requisition ID, employer, locations, employment type, dates, salary, and apply links.

Self-hosted MCP toolkit providing web search, Wikipedia, and arXiv access without mandatory API keys, delivered as a Docker Compose bundle.

Enables AI agents to fetch Google autocomplete suggestions for partial queries, returning ranked results as clean JSON. Supports batch queries, localization, and integration with place lookups.

Structured web extraction for AI agents. Pass any URL and a prompt, get clean JSON data back. Native MCP server with 100 free requests/month.

Enables users to retrieve and structure shipment tracking information from DB Schenker's website using natural language queries.

MCP server that extracts structured JSON from public URLs for AI agents using schemas like product, article, and company.