"Information about Teams or collaboration platforms" matching MCP servers:

Enables Claude to search, read, summarize, and ask about your own Microsoft Teams chats stored locally in SQLite, with tools for listing chats, reading messages, fetching images/links, syncing full history through a logged-in browser session, and suggesting replies. It works with the new Teams macOS cache and does not require Microsoft Graph or admin consent.

Enables LLM agents to read from and write to Microsoft Teams via a real browser-based bridge, with support for multi-tenant profiles, chat listing, message reading and searching, team/channel listing, and sending messages.

Enables Microsoft Teams chat automation, message extraction, and unread notification monitoring by automating the Teams web client with Puppeteer, requiring no API keys or Azure setup.

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.

Enables coding agents to turn videos from social platforms or local files into a small set of distinct frames plus a manifest, so they can answer visual questions by reading image paths. Also provides metadata lookup for captions and authors without downloading the video.

Enables terminal AI coding assistants to interact with web AI chat services through browser automation, supporting multiple platforms like Doubao and ChatGPT.

Zero-Config, Fully AI-Managed End-to-End Testing for all code gen platforms.

Searches design platforms for UI references and extracts design tokens such as colors, typography, spacing, and shadows from live websites.

MCP server for internet access across Western and Indian platforms, enabling reading, searching, and hot content retrieval from stocks, news, hackernews, YouTube, GitHub, and more.

Enables LLMs to search public discussion platforms for real-world opinions, with semantic routing and no API keys required.

Lets AI agents list, read, wait on, and send Microsoft Teams chats by driving a Chrome tab that already holds your signed-in Teams session, with attachments and per-chat send modes. No Azure app registration, bot account, or admin consent is needed.

MCP server that enables AI agents to search Chinese web platforms (Taobao, JD, Xiaohongshu, Zhihu, ZSXQ) without being blocked.

Enables Claude Code and Gemini CLI to see your macOS screen, answering questions about the file, error, UI, database table, or web page you're looking at. Captures screenshots, reads database schemas, and controls Chrome/Brave, presenting answers as on-screen highlights or spoken bubbles above your cursor.

An MCP server that allows users to check if a website is experiencing downtime by querying isitdownrightnow.com, providing status information and details about recent downtime events.

Enables web search functionality through Perplexity AI's API with time-based filtering options. Allows users to search the web for recent information within specified time periods (day, week, month, or year).

Converts any web page to clean Markdown, handling JS-heavy SPAs, paywalled content, and Chinese platforms through a 5-layer fallback pipeline and 14 site adapters.

Enables AI agents to fetch and digest content from 30+ platforms (Twitter, YouTube, Reddit, etc.) via a unified API. Supports multi-format output, transcription, and direct Obsidian sync.

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).

Provides real-time hot trending topics from major Chinese social platforms and news sites, enabling AI models to fetch and display current hot lists.

A Model Context Protocol server for browser automation using Selenium WebDriver, enabling LLMs and teams to automate browsers with multi-browser support and a standard MCP API.

Enables AI assistants to search and analyze Chrome browser history and bookmarks data locally, including keyword searches, date range filtering, recent browsing activity, and usage statistics across all platforms.

Provides 13 internet platforms as MCP tools for AI agents, enabling read, search, and interaction with services like web, YouTube, Twitter, and Reddit via a production-grade MCP server.

Syncs AI conversations from multiple platforms to local Markdown files for your second brain, and provides browser automation tools via MCP for agentic workflows.

Enables AI agents to download high-quality videos from platforms like YouTube, Bilibili, Douyin, TikTok, and Instagram, with tools for querying media info, downloading, batch processing, cookie management, and environment checks.

A scalable MCP server for searching multiple platforms (WeChat, Zhihu, Google) with async API, content fetching, compression, and real URL resolution.

This MCP server enables AI agents to interact with recruitment platforms like BOSS直聘, 猎聘, and Moka through a Chrome extension via WebSocket. It provides tools to detect platforms, fetch candidate lists, and test extension connectivity.

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 access messaging platforms through MCP using a browser extension and native messaging bridge, supporting chat window inspection and user-approved draft input probes.

Enables detecting what a website is built with—such as ecommerce platforms, CMSs, JS frameworks, analytics, and CDNs—by reading the page itself, returning evidence for each detection and listing detection coverage.

Enables local MCP clients to answer questions about the current browser page by capturing DOM context, routing them to fast or deep OpenAI models via a local model router, and optionally filling forms and submitting answers.