"How to get information about Telegram channels" matching MCP servers:

A Model Context Protocol server that enables Claude to interact with Telegram channels and groups through both direct API access and web scraping methods.

Reads public Telegram channel pages and exposes them as MCP tools over Streamable HTTP/JSON-RPC, enabling retrieval of channel info, latest posts, and search without Telegram API credentials.

Enables AI agents to test Telegram bots by driving the official Telegram Web client in a real browser, allowing visual verification of bot responses, inline keyboards, and Mini Apps.

A containerized service that enables MCP clients to interact with data and perform actions through a remote browser environment. It supports live streaming of the container desktop and offers proxy configuration for location-based browser sessions.

Enables converting webpages into structured JSON using CSS-selector schemas, with anti-bot handling and support for protected pages.

Enables converting any webpage to clean LLM-ready markdown, with extraction, article, and news modes, using a real browser with anti-bot handling.

Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.

Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.

Fetches website content and converts it to Markdown format with AI-powered content cleanup, ad removal, and full OpenAPI/Swagger specification support for easy processing by AI assistants.

Converts X (Twitter) posts into JSON, PDF, PNG, Markdown, or Slack/Discord messages using public endpoints, no API key or login required.

MCP server that fetches remote or local HTML resources and converts them to Markdown, enabling AI clients to summarize or process web content.

Enables AI agents to convert HTML content into clean Markdown, stripping scripts and styles while preserving headings, links, lists, and images, with pay-per-call x402 micropayments and no API keys.

An MCP server that lets AI agents read and manage Telegram Ads campaigns, including listing accounts and ads, reading stats and budgets, and creating/updating ads, CPM, status, and budget by driving the real ads.telegram.org web UI through Playwright with a reused cookie-based login session.

Enables agents to transform tabular Markdown content into structured, type-inferred records with normalized formatting through an MCP-compatible interface.

Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.

Converts any webpage URL to clean, well-formed Markdown with title and H1 preservation, URL validation, and graceful fallbacks. One of 16 single-purpose servers in an open-source monorepo with full CI/CD to PyPI.

A local MCP runtime for macOS and Windows that enables ChatGPT to read, edit, search, run tests, and capture screenshots in your local project folder while keeping your source code on your machine.

Enables AI agents to interact with Telegram Web through a clean text-based API, including chat search, message history, sending messages, and profile retrieval via a persistent Playwright session.

Converts WeChat Official Account articles to clean Markdown with locally downloaded images, supporting single and batch operations via MCP tools.

Enables browser automation over MCP using a real Chrome browser with existing profile, supporting real tabs, downloads, cookies, and RPA workflows.