telegram-mcp-server vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
telegram-mcp-server by abhinavkale-dev | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 4 | ★ 85,748 |
| 30d uses | — | — |
| Score | 30 | 77 |
| Official | — | ✓ |
| Categories | CommunicationDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 13 mo ago | this month |
telegram-mcp-server · Summary
A Model Context Protocol server enabling AI assistants to interact with Telegram through standardized tools.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
telegram-mcp-server · Use cases
- Automating customer support responses through Telegram
- Creating AI-powered notification systems for Telegram groups
- Building custom Telegram bots with AI capabilities
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
telegram-mcp-server · Install
Installation
- Install dependencies:
npm install- Create a
.envfile with your Telegram Bot Token:
TELEGRAM_BOT_TOKEN=your_bot_token_here- Build the TypeScript project:
npm run build- Start the server:
npm startClaude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"telegram": {
"command": "node",
"args": ["path/to/telegram-mcp-server/dist/telegram-mcp.js"],
"env": {
"TELEGRAM_BOT_TOKEN": "your_bot_token_here"
}
}
}
}filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.