"Writing about MCP" 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.

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

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.

Fetches web pages, converts HTML to markdown, and uses Claude to answer questions about the content.

Enables MCP clients like Claude and Cursor to query public Instagram data read-only — profiles, posts, reels, stories, highlights, comments, likers, followers, hashtags, places, audio and search — over local stdio without writing files or storing anything.

Search for Airbnb listings and get detailed information about specific properties. Effortlessly plan your next trip with structured data and no API key required, while respecting Airbnb's guidelines.

Enables LLMs to autonomously retrieve and explore web content by fetching pages and recursively following links to a specified depth, particularly useful for learning about topics from documentation.

Enables AI assistants to query BuiltWith's technology detection data directly, supporting natural language questions about website technologies.

MCP server for the Chocodata web scraping API. Enables agents to scrape live product prices, search results, and social profiles without writing glue code.

Enables batch validation of public t.me links without a Telegram account or API key, reporting whether chats exist, group versus channel type, member counts, and current online users. It also provides a curated demo sample of Russian B2B marketplace chats and details about accessing the full chat base.

Enables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

MCP server for monitoring competitor pricing pages, scraping pricing data into SQLite, and answering plain-language questions about pricing plans via Claude.

Enables AI agents to query live data from wemakedevs.org — hackathons, timelines, rules, resource hubs, blogs, meetups, scholarships, careers and registration status — through 16 typed tools that return schema-validated structured JSON. Every call reads the site live via TinyFish, so agents can answer questions about deadlines, prizes and open registration without canned data.

Enables comprehensive web research by leveraging Tavily's Search and Crawl APIs to gather and aggregate data for high-quality documentation generation. It provides structured JSON outputs for LLMs and includes configurable tools for secure file writing of research findings.

Enables AI assistants to score a private practice's Google Business Profile and website (0–100) with prioritized, ethics-aware fixes, draft review-ready Google Business "What's New" posts in the therapist's own voice, and answer factual questions about the service's scope, pricing, and privacy rules. All tools are read-only, require only a practice name, location, and website, and never accept client information.

Enables coding agents to search and retrieve real production websites, their design systems, and reference components over MCP, so they can study design patterns before writing UI.

Connects AI assistants to live site data so they can answer questions about crawling, indexing, Search Console performance, keyword gaps and how AI engines describe a brand. Runs technical audits, keyword research, content workflows and client reports directly from the chat.

Provides vehicle data scraping from keplaca.com through the Model-Context Protocol, allowing users to retrieve detailed information about Brazilian vehicles using license plate numbers.

Enables ChatGPT, Claude, and other MCP clients to extract and format YouTube video transcripts and retrieve writing templates via OAuth-authenticated remote access. Supports tools for fetching transcripts by URL and pulling prompt-based templates such as blog posts, social posts, and video chapters.

Enables AI agents to browse, click, type, screenshot, and extract data from web pages without writing CSS selectors, using numbered element refs. It also supports office automation such as bulk form filling, table extraction, downloads, PDF archiving, and page monitoring.

Enables Claude Desktop to access your McGill University myCourses account, letting you ask about your courses and upcoming deadlines in plain language.

Provides live football match data from Sofascore, including formations, injuries, betting odds, and league positions, enabling natural language queries about matches.

An authless Cloudflare Workers server that provides tools to scrape, analyze, and answer questions about websites using Cloudflare's Browser Rendering and AI capabilities.

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.

An MCP server that uses Playwright to scrape Israeli weather forecasts from weather2day.co.il by automating a real browser, enabling an LLM to answer questions about current conditions and hourly forecasts for Israeli cities.

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.

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 users to find email addresses that YouTube channels publish on their about pages or linked websites, along with each address’s source, by supplying channel handles, URLs, or IDs or by searching themes with subscriber-range filters.

Enables writers to research and verify news stories, extract facts with their sources attached, mine SEO keywords, receive a drafting brief, and audit their finished draft for weak spots and AI-sounding phrasing. It then assembles the publishing pack, NewsArticle and FAQPage schema, and SEO validation report around the text — without writing the prose itself.

An MCP server that enables users to search and navigate Madison, Wisconsin municipal ordinances using a TF-IDF search index. It provides specific code sections and citations to answer questions about local regulations like building permits and zoning.

A universal resource server that enables AI models to mount local folders, scrape web pages into Markdown, and query SQLite databases without writing code. It features a real-time TUI dashboard and persistent configuration for managing diverse knowledge sources.

Enables natural-language questions about the University of Michigan Ann Arbor dining halls' live menus, dish traits, allergens, nutrition panels, and opening hours pulled from dining.umich.edu. Supports searching and filtering dishes by name, allergen exclusions, required traits, calorie, sodium and carbon-footprint limits, plus checking which halls are serving right now.

Lets an AI agent read public TikTok data with no API keys or developer account: search videos and hashtags, fetch profiles, recent videos and comments, discover creators posting about a topic, and transcribe videos through your own OpenAI-compatible speech-to-text endpoint. All popular MCP clients can launch it via uvx, and every tool returns structured output as a read-only operation.

Enables Claude and other MCP clients to search finn.no and create, manage, and publish Torget ads from photos — preparing images (EXIF/GPS stripping, resize, HEIC), writing titles and Norwegian descriptions, suggesting category and market price, checking for duplicates, and publishing only after explicit confirmation. Read-only search, listing details, saved-search diffs, and management of your own ads are also supported through a locally stored logged-in session.

Enables AI agents to search company job boards and LinkedIn, judge job fit against a user profile, draft tailored one-page CVs and cover letters with fact-checking, and track applications through MCP tools. Also lets agents perform the AI writing steps themselves while the server enforces gates, verdicts, and document safety checks.

Drive Clearcote, a Chromium build with its fingerprint protection patched into the engine, from any MCP client: about 20 tools to navigate, read, extract, click, fill, screenshot and keep sessions, plus a CDP endpoint that hands the same browser to Playwright or Puppeteer. The server lives in the repo's mcp/ folder (npx clearcote-mcp or pip install clearcote-mcp).

Enables AI agents to pull deterministic, traceable numbers about Adobe Stock supply, seasonality, keyword demand and the contributor's own portfolio and Adobe accept/reject outcomes. It also supports upload staging and metadata application on the portal for a verified plan, while never clicking Submit or Delete.

Enables agents to fetch public URLs as noise-free Markdown (via Jina Reader with a local HTML fallback) protected by SSRF and indirect prompt-injection defenses, while capturing each article's hook, heading rhythm, and sentence-ending style as a reusable writing recipe in a local DuckDB style vault so that recipe can later drive automated manuscript generation.

Enables agents to extract structured data from web pages by supplying a URL and a natural-language prompt describing the desired fields. This lets assistants retrieve live site content, such as lists of videos, without writing custom scrapers.