"Methods for Parsing Emails" matching MCP servers:

Structured web context infrastructure for AI agents. Extract reliable schema-guided JSON from websites using Claude-powered parsing, Browserless fallback rendering, and MCP-native workflows.

A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.

MCP server for XMLRiver enabling Google and Yandex SERP parsing, Yandex Wordstat keyword frequency, indexing checks, and account operations.

An Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.

Enables AI assistants to scrape Google Maps business data (names, addresses, phones, emails, websites, ratings, etc.) through natural language queries, with tools for synchronous and asynchronous scraping and credit checking.

MCP server for the Mamba Labs Company Contact Details Extractor actor on Apify. Find a company contact page and extract role emails, a phone number and a postal address.

Enables following a creator's bio link to detect their newsletter, products sold, and contact emails across supported platforms and link-in-bio pages.

Enables Claude and any MCP client to turn a URL plus a schema into validated, typed JSON without HTML parsing or hallucinated fields.

TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.

Enables MCP clients to search Yellow Pages local businesses by keyword and location and retrieve full listing details such as phone, hours, services, brands, and payment methods.

Provides on-page SEO analysis via MCP tools, including page audits, schema extraction, robots.txt checks, sitemap parsing, and link analysis. No API keys required; works with any MCP-compatible client.

Enables fetching and parsing news articles from URLs, extracting title, text, author, and publication date.

Enables AI assistants to fetch and process web content securely, including HTML-to-markdown conversion, reader mode, metadata extraction, RSS/sitemap parsing, and robots.txt-aware requests with SSRF protection.

Facilitates retrieval and parsing of Chinese central government policies from gov.cn, offering structured search results and full-text extraction.

A comprehensive MCP server providing 15 web tools including search, scraping, screenshots, SEO audits, and DNS/SSL checks through a single installation. It delivers clean, LLM-optimized outputs so AI agents can focus on reasoning rather than parsing raw HTML.

An MCP server that allows searching through public SearXNG instances by parsing HTML content into JSON results, enabling metasearch capabilities without requiring JSON API access.

Web-crawler MCP server that fetches web pages with static parsing or headless browser fallback, enabling Claude to fetch, extract links, crawl sites, and select content via CSS selectors.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

An MCP server that lets AI assistants like Claude read LinkedIn data through your own logged-in browser session. Access profiles and companies, search for jobs, or get job details.