telegram-mcp vs fetch
Side-by-side comparison to help you pick between these two MCP servers.
telegram-mcp by chaindead | fetch by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 326 | ★ 85,748 |
| 30d uses | — | — |
| Score | 50 | 76 |
| Official | — | ✓ |
| Categories | CommunicationProductivity | Web ScrapingAI / LLM ToolsProductivity |
| Language | Go | TypeScript |
| Last commit | 3 mo ago | this month |
telegram-mcp · Summary
A Go-based MCP server that bridges Telegram API with AI assistants for managing messages, dialogs, and drafts.
fetch · Summary
An MCP server that fetches web content and converts HTML to markdown, allowing LLMs to read web pages.
telegram-mcp · Use cases
- Checking and summarizing unread Telegram messages through an AI assistant
- Organizing Telegram chats by importance and categorization with AI suggestions
- Monitoring specific chats for updates about topics and drafting responses
fetch · Use cases
- LLMs reading news articles and blogs
- Content analysis of web pages
- Retrieving information from public websites
- Chunked reading of large web documents
telegram-mcp · Install
Installation
**Homebrew** (macOS/Linux):
brew install chaindead/tap/telegram-mcp**NPX** (cross-platform):
npx -y @chaindead/telegram-mcp**From Releases**: Download the appropriate binary for your platform from [GitHub Releases](https://github.com/chaindead/telegram-mcp/releases)
**From Source**:
go install github.com/chaindead/telegram-mcp@latest**Claude Desktop Configuration**:
{
"mcpServers": {
"telegram": {
"command": "telegram-mcp",
"env": {
"TG_APP_ID": "<your-app-id>",
"TG_API_HASH": "<your-api-hash>"
}
}
}
}fetch · Install
Installation
**Using uv (recommended)** No specific installation needed. Use uvx to run the server directly:
uvx mcp-server-fetch**Using PIP** Install via pip:
pip install mcp-server-fetchThen run as:
python -m mcp_server_fetchClaude Desktop Configuration
{
"mcpServers": {
"fetch": {
"command": "uvx",
"args": ["mcp-server-fetch"]
}
}
}