telegram-mcp vs memory
Side-by-side comparison to help you pick between these two MCP servers.
telegram-mcp by chaindead | memory by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 326 | ★ 85,748 |
| 30d uses | — | — |
| Score | 50 | 77 |
| Official | — | ✓ |
| Categories | CommunicationProductivity | Knowledge GraphAI / 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.
memory · Summary
An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.
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
memory · Use cases
- Personalizing AI assistant interactions by remembering user preferences, history, and relationships
- Building context-aware chat applications that maintain conversation history
- Creating knowledge bases that persist across AI model sessions
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>"
}
}
}
}memory · Install
Installation
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}VS Code
Use one-click installation buttons or manually configure in .vscode/mcp.json:
{
"servers": {
"memory": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}Docker
{
"mcpServers": {
"memory": {
"command": "docker",
"args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
}
}
}