"Telegram MCP Server by DLHellMe" matching MCP servers:

Enables communication with users through Telegram, including asking questions, sending notifications, sharing files, and creating project archives via a bot.

Connect Claude to your personal Telegram account via MTProto to read messages, search chats, send replies, forward files, and more using your real account.

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.

Enables a Telegram chatbot to create Google Calendar events, schedule reminders, and summarize CSV files via an AI agent using the Model Context Protocol.

Enables a Telegram bot to securely deliver local files to the owner's private chat and lets the owner approve in-chat plugin updates.

Enables AI-powered IDEs to read PDF and DOCX files directly, supporting structured output in Markdown, JSON, or plain text.

Provides a secure MCP tool to append confirmed parking reservations to durable storage with validation, audit logging, and concurrency safety.

Enables searching, reading, and summarizing local files and Google Drive content through natural language.

Logs work entries to daily Markdown files and sends summaries to Telegram automatically at 11 PM or on demand.

Enables Claude Desktop to add, retrieve, update, delete, and list personal notes persisted in a local JSON file, with atomic saves and configurable note storage paths.

A file management system powered by Claude AI that provides document access and manipulation through MCP protocol and Telegram bot integration, enabling users to interact with files via natural language commands.

A modular MCP server that provides comprehensive system automation capabilities including file operations, Telegram integration, job scheduling, system control, and YouTube downloads. Features persistent data storage and a clean architecture for easy extension and maintenance.

Enables users to ask natural-language questions about a local folder's contents, including file names, sizes, and timestamps, with rollups by type and age and cleanup suggestions for stale or large files. It returns metadata only and cannot read, move, or delete files.

An MCP server that enables analysis of local media files, including video, audio, and documents, by uploading them to EnriProxy for server-side extraction. It supports various complex file formats and provides structured model analysis for media types often unsupported by standard MCP clients.

Enables MCP-capable LLM clients to read browser screenshots captured by the SnapStack extension, stored locally and served over Streamable HTTP.

Enables LLMs to discover, read, and edit tables in HTML/Markdown documents by converting messy collapsed HTML into clean pipe format and writing back with version-checked, surgical cell, row, and column operations.

MCP server that gives AI chat real vision by reading images, files, logs, and zip archives via local OCR in any language, with privacy-first processing.

MCP server that converts file contents into compact, line-numbered PNG images for vision models to read, reducing token usage by roughly 7x for large files.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Address Markdown and GEML documents by block instead of by line: list, get, set, add, delete, rename, revert, find and check one block, with every write re-parsed and refused if it would brea