Telegram Ops
Telegram personal-account MCP (MTProto user-auth). Read DMs, send messages, search across chats.
What is Telegram Ops?
Telegram Ops is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to telegram personal-account mcp (mtproto user-auth). read dms, send messages, search across chats.
Telegram personal-account MCP (MTProto user-auth). Read DMs, send messages, search across chats.
This server falls under the Communication category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Telegram personal-account MCP (MTProto user-auth). Read DMs,
Use Cases
Maintainer
Works with
Installation
NPM
npx -y claude-ops-telegram-serverManual Installation
npx -y claude-ops-telegram-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Telegram Ops
What is Telegram Ops?
Telegram Ops is a Model Context Protocol (MCP) server that telegram personal-account mcp (mtproto user-auth). read dms, send messages, search across chats. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Telegram Ops?
Install via npm with the command: npx -y claude-ops-telegram-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Telegram Ops?
Telegram Ops works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Telegram Ops free to use?
Yes, Telegram Ops is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Communication MCP Servers
Explore all communication servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Telegram Ops in Your Editor
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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