"An official MCP server for Jira" matching MCP servers:

MCP server that fetches ServiceNow Community events for a date range and returns them as structured data, optionally writing a CSV. No login or credentials required.

Enables AI agents to check a list of websites by running an Apify Actor through one tool, returning per-site tech stack, on-page SEO issues and score, robots.txt rules for AI crawlers, sitemap, llms.txt presence, and an AI-readiness score. Supports local stdio operation with an Apify token for tool calls.

A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.

MCP server for remote web scraping, providing a scrape_web tool that fetches pages and extracts content as markdown or JSON, supporting CSS selectors.

Official CapSolver MCP server that provides CAPTCHA detection and solving tools for authorized AI-agent, browser automation, testing, and data workflows.

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 clients to analyze any company domain and determine its AI maturity tier (commercialized, deployed, declared, or none) with supporting evidence, via a single tool backed by an Apify actor.

Enables querying Renfe train schedules, checking prices, and finding stations across Spain using official GTFS data.

Enables users to ask buyer questions across Google AI Overviews, ChatGPT, Claude, Perplexity, and Gemini and receive sampled answer rows, brand named/cited rates, competitor rates, and cited sources. Runs the tracking workflow on Apify and returns dataset rows ready for analysis.

Provides agent-friendly web search via MCP with zero-config free engines, region-aware failover, freshness filtering, and a one-call research tool that searches, fetches, and summarizes pages.

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.

Fetches and analyzes website content to provide business context to AI agents, designed for Voice AI in GoHighLevel.

Checks a website's robots.txt and Cloudflare settings to identify AI crawler blocking. Also generates llms.txt content to improve visibility to AI answer engines.

Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.

A token-efficient MCP server for Chrome DevTools Protocol that provides smart snapshots, diffing, and screenshot-to-disk tools, reducing token usage dramatically compared to official snapshots.

AutomateLab AI SEO Magic Button runs a whole-site AEO/GEO audit and generates a prioritized plan an agent can execute. It combines AI-SEO and Citation Intelligence and ships as a skill, plugin, and MCP server. Product and documentation: https://automatelab.tech/products/skills-and-plugins/ai-seo-magic-button/

An MCP server for web content extraction, providing tools to fetch clean text, extract links, query by CSS selector, and search the web via DuckDuckGo.

Analyze and generate robots.txt files with AI crawler awareness. Fetch any site's robots.txt, detect which AI bots (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) are blocked or allowed, and generate optimized robots.txt with toggle controls for 20+ AI crawlers.

Live search of apartment rentals in any Romanian city or town across storia.ro, publi24.ro and lajumate.ro, with duplicates and sale ads removed. Reads each ad for heating type, parking and private owner, and filters by price, rooms and walking time to a place.

Enables web search on Chinese internet content using Bocha AI, returning results as Markdown or JSON with configurable freshness and summary options.

Refined MCP server for GitHub GraphQL API. GitHub's official MCP Server exposes dozens of low-level tools that bloat token usage and are mostly impractical for LLMs. gh-mcp achieves the best of both worlds by providing a single, powerful interface: GitHub GraphQL, wrapped with smart abstractions.

An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.

Interact with WebScraping.AI API for web data extraction and scraping

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.

An MCP server that gives AI agents access to global patent data, including 1.4 billion records and Chinese full-text, with zero-config mode for basic tools.

Provides access to Jina AI's suite of web tools including URL reading, web/image/academic search, content extraction, embeddings, and reranking capabilities. Enables AI assistants to search the web, extract content from URLs, and process information with semantic understanding.

Enables web content extraction, screenshot capture, web search, arXiv paper search, and image search through Jina AI's APIs. Provides tools for reading URLs as markdown, searching the web for current information, and finding academic papers or images.

A MCP server for agent-driven research on Brazilian law using official sources