技能潮 SkillTide 提交收录
官方说明10 个来源MCP 服务8 天前
chaindead/telegram-mcp

chaindead/telegram-mcp

🏎️ 🏠 - Telegram API integration: access user data, manage dialogs (chats, channels, groups), retrieve…
在 GitHub 查看 ↗直链 · 无中转页
官方说明🏎️ 🏠 - Telegram API integration: access user data, manage dialogs (chats, channels, groups), retrieve messages and handle read status.
配置模板(请按你的客户端调整)
claude mcp add telegram-mcp -- npx -y telegram-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
349 ★ · chaindead/telegram-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 10 个来源列出
评分构成
综合分 1,003 · 349 ★ · 10 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 chaindead/telegram-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Telegram MCP server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

The server is a bridge between the Telegram API and the AI assistants and is based on the Model Context Protocol.
> [!IMPORTANT]
> Ensure that you have read and understood the Telegram API Terms of Service before using this server.
> Any misuse of the Telegram API may result in the suspension of your account.
Table of Contents
- What is MCP?
- What does this server do?
- Capabilities
- Prompt examples
- Message Management
- Organization
- Communication
- Installation
- Homebrew
- NPX
- From Releases
- MacOS
- Linux
- Windows
- From Source
- Configuration
- Authorization
- Client Configuration
- JSON Schema Version
- Star History
What is MCP?
The Model Context Protocol (MCP) is a system that lets AI apps, like Claude Desktop or Cursor, connect to external tools and data sources. It gives a clear and safe way for AI assistants to work with local services and APIs while keeping the user in control.
What does this server do?
Capabilities
- [x] Get current account information (tool: tg_me)
- [x] List dialogs with optional unread filter (tool: tg_dialogs)
- [x] Mark dialog as read (tool: tg_read)
- [x] Retrieve messages from specific dialog (tool: tg_dialog)
- [x] Send draft messages to any dialog (tool: tg_send)
Prompt examples
Here are some example prompts you can use with AI assistants:
Message Management
- "Check for any unread important messages in my Telegram"
- "Summarize all my unread Telegram messages"
- "Read and analyze my unread messages, prepare draft responses where needed"
- "Check non-critical unread messages and give me a brief overview"
Organization
- "Analyze my Telegram dialogs and suggest a folder structure"
- "Help me categorize my Telegram chats by importance"
- "Find all work-related conversations and suggest how to organize them"
Communication
- "Monitor specific chat for updates about [topic]"
- "Draft a polite response to the last message in [chat]"
- "Check if there are any unanswered questions in my chats"
Installation
Homebrew
You can install a binary release on macOS/Linux using brew:
NPX
You can run the latest version directly using npx (supports macOS, Linux, and Windows):
When using NPX, modify the standard commands and configuration as follows:
- Authentication command becomes:
- Claude MCP server configuration becomes:
For complete setup instructions, see Authorization and Client Configuration.
From Releases
MacOS
> **Note:** The commands below install to /usr/local/bin. To install elsewhere, replace /usr/local/bin with your preferred directory in your PATH.
First, download the archive for your architecture:
Then install the binary:
Linux
> **Note:** The commands below install to /usr/local/bin. To install elsewhere, replace /usr/local/bin with your preferred directory in your PATH.
First, download the archive for your architecture:
Then install the binary:
Windows
Windows
1. Download the latest release for your architecture:
- Windows x64
- Windows ARM64
2. Extract the .zip file
3. Add the extracted directory to your PATH or move telegram-mcp.exe to a directory in your PATH
来源
awesome · https://github.com/chaindead/telegram-mcp
按领域浏览
MCP 服务
Traction
349 ★
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引