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

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    A unified Model Context Protocol server that provides a consistent interface for AI assistants to interact with productivity tools like Linear, GitHub, Slack, and Notion. It enables users to search, retrieve, and manage tasks and data across multiple workplace services from a single endpoint.
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    An MCP (Model Context Protocol) server that connects AI assistants like Claude to Telegram via the MTProto protocol. Unlike bots, this runs as a userbot -- it operates under your personal Telegram account using GramJS, giving full access to your chats, contacts, and message history.
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    • Apple
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    An MCP server that wraps the Telegram Bot API into semantic tools for LLM agents, supporting multi-bot management for sending and receiving messages. It enables agents to send text, photos, and documents, as well as fetch recent updates from multiple configured Telegram bots.
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    A minimal Model Context Protocol server for interacting with Telegram bots via MTProto. It provides simple tools to send messages and retrieve chat history while serving as an easy-to-extend reference for developers.
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    MIT
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    An MCP server that enables interaction with Telegram to send, read, and search messages across chats and dialogs. It supports waiting for incoming messages and retrieving conversation history through natural language commands.
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    MCP server that connects AI assistants to your real Telegram account via User API (MTProto). Features default-deny ACL with per-chat permissions, message search, file sending, forwarding, media downloads, and rate limiting.
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    Enables interaction with Telegram channels through the Bot API, supporting comprehensive messaging operations including sending text/photos, creating polls, managing reactions, and editing/deleting messages. Provides complete channel management capabilities for automated Telegram bot operations.
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    Enables interaction with the Telegram Bot API via the Model Context Protocol to send, edit, and delete messages, photos, and videos. It allows Claude to manage Telegram communications and fetch bot updates through natural language commands.
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    Enables searching and filtering Telegram group messages with advanced options for natural language date ranges and extended metadata. Users can retrieve message content, reactions, and media details using the search_messages tool.
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    A comprehensive integration that allows AI models to interact with Telegram accounts for messaging, group management, and contact synchronization. It enables automated tasks like chat history analysis, message scheduling, and webhook-based responses through the Model Context Protocol.
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    Apache 2.0
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    Enables interaction with Telegram chat history, including text, photos, and documents, via the GramJS MTProto userbot. It provides tools for searching chats, syncing message history, and downloading media files for local analysis.
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    Full-featured Telegram Bot API server for MCP (Model Context Protocol). 174 tools covering the entire Bot API — messages, chats, stickers, payments, forums, stories, and more.
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    A streamlined MCP server designed to send AI agent progress updates, images, and files directly to a user via Telegram. It allows users to monitor long-running tasks and receive notifications or build artifacts through a simple messaging interface.
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    Enables remote control of AI coding assistants (Claude Code/Codex) via Telegram, allowing you to manage long-running tasks, send commands, and receive notifications from anywhere. Supports unattended mode with smart polling for up to 7 days and multi-session management.
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    Enables AI assistants to interact with users via Telegram to request decisions, approvals, or specific input through text and clickable buttons. This facilitates a human-in-the-loop workflow where the AI can pause for feedback or send status notifications during long-running tasks.
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    A Model Context Protocol server that enables AI assistants to interact with Telegram, allowing them to search channels, list available channels, retrieve messages, and filter messages by regex patterns.
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    An MCP server that enables transcribing local audio files and Telegram voice messages using OpenAI's Whisper via local inference or cloud API. It supports multiple audio formats, automatic language detection, and optional word-level timestamps for AI-powered audio analysis.
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    Connects VS Code Copilot to Telegram for mobile notifications, interactive approval workflows, and remote command input. Enables users to monitor AI agents, approve sensitive operations, and provide follow-up instructions from their smartphone.
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    Provides access to a specific GitHub repository (my-notion) allowing AI assistants to browse files, read content, and track commit information. Enables real-time interaction with repository data through the GitHub API without authentication requirements.
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    A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.
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    A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
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    Apache 2.0
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    An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.
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