"Information about costs or pricing" matching MCP servers:

Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.

Extracts and structures pricing pages from any SaaS site, including plans, tiers, and features.

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 users to query archived copies of SaaS pricing pages from the Wayback Machine to see plan names and prices at any past date, track price changes and periods over time, and compare up to eight competitors' pricing side by side.

Enables auditing one or many B2B SaaS domains to classify their sales motion and pricing model, extract starting USD prices, free-tier/trial availability, billing stack, and whether SAML/SSO is gated behind an Enterprise tier.

Enables scraping and comparison of LLM inference pricing from multiple providers like Cloudrift, DeepInfra, Fireworks, and Groq, storing results in a SQLite database.

Enables scraping and comparing pricing information for LLM inference services across multiple providers (CloudRift, DeepInfra, Fireworks, Groq) using Firecrawl API and SQLite storage.

Lets an MCP client read allowlisted pages from the LiveSwapFace website, retrieve its official links, and estimate credits for a planned browser session using rates fetched at call time. It is read-only and never performs face swaps, signs in, uploads media, or touches a private API.

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

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

Extracts people (names and titles) from a company's team, leadership, or about page given a domain. Uses Apify to crawl and return structured data, with optional filters for seniority and email inclusion.

Enables LLM agents to retrieve live, accurately labeled data from DNS (dns-shop.ru) — city-specific pricing, product search with filters, ratings, reviews, store stock, and price history — while avoiding common data misinterpretations.

Enables MCP clients to search by name plus company information and receive candidate LinkedIn profile links with confidence scores, headline/follower details, and current-or-former employer flags without accessing LinkedIn directly.

Search public Japanese articles about mamakatsu on Mama Rich. Returns article titles, descriptions, and source URLs. No API key required.

Enables querying Shopify App Store apps and Chrome Web Store extensions by category, keyword, or listing URL, returning ratings, reviews, pricing or user counts, and developer website, domain, address, and email. Filters by minimum rating or reviews and produces one row per listing ready for outreach or enrichment.

A Model Context Protocol server that lets Claude query arbitrary webpages with token-efficient, structure-aware retrieval, reducing token costs by fetching only relevant sections.

Enables AI agents to retrieve live product prices, stock, variants, and deal ratings from Shopify, WooCommerce, Walmart, eBay, and Amazon by pasting product links and asking about price, availability, or comparisons.

Finds and verifies business email addresses using DNS/SMTP verification and web scraping, with no external API costs.

LinkedIn prospect intelligence inside Claude. It automates the research behind outreach, not the sending: scrapes posts, profiles and comment threads into a local SQLite database, classifies what a person or company actually posts about, mines comment threads for people already describing your problem, and surfaces uncommon commonalities worth opening with.

Enables AI agents in Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, Gemini CLI and Codex to scrape web pages into Markdown, text, HTML, JSON or PDF, extract structured data with selectors or autoparse, capture screenshots and PDFs the model can see, drive pages with typed browser actions, keep logged-in persistent browser sessions, and batch-scrape thousands of URLs as async jobs. It also exposes usage, request-log and documentation tools so agents can check costs, diagnose failures and look up parameters without leaving the chat.